wltp-jrc_run_single_vehicle

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  "name": "",
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 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## Calculate WLTP & NEDCfor single vehicle"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import sys\n",
      "import logging\n",
      "import numpy as np, pandas as pd\n",
      "from matplotlib import pyplot as plt\n",
      "\n",
      "\n",
      "logger = logging.getLogger()\n",
      "## To display driveability-problems\n",
      "logger.setLevel(logging.DEBUG)\n",
      "log = logging.getLogger('notebook')\n",
      "\n",
      "## To display the complete cycle_run.\n",
      "pd.set_option('max_rows', 2000)\n",
      "\n",
      "\n",
      "## Load wltp evenif not installed,\n",
      "#   from ipython folder.\n",
      "# \n",
      "wltc_path = !pwd\n",
      "wltc_path = 'PyWLTC'\n",
      "if (wltc_path not in sys.path):\n",
      "    sys.path.append(wltc_path)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 29
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import wltp\n",
      "from wltp import experiment\n",
      "import wltp.model\n",
      "import wltp.cycles.nedc as nedc\n",
      "\n",
      "wltp.__version__"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 30,
       "text": [
        "'0.0.9-alpha'"
       ]
      }
     ],
     "prompt_number": 30
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "\n"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def make_model(is_nedc=False):\n",
      "    mdl = {\n",
      "        \"vehicle\": {\n",
      "            \"test_mass\":     1983,\n",
      "            #\"unladen_mass\":   None,   # If not overriden = test_mass - driver_mass(75 kg).\n",
      "            #'driver_mass':   75,\n",
      "            \"v_max\":    247,\n",
      "            \"p_rated\":  180,\n",
      "            \"n_rated\":  5000,\n",
      "            \"n_idle\":   780,\n",
      "            #\"n_min\":   None,   # Can be overriden by manufacturer.\n",
      "            \"gear_ratios\":      [115.25,76.92,51.7,40.96,31.57,24.57,20.61,16.39],\n",
      "            \"resistance_coeffs\":[678.5,-0.833,0.04281],\n",
      "        }\n",
      "    }\n",
      "    \n",
      "    ## Overridde cycle with NEDC.\n",
      "    #\n",
      "    if is_nedc:\n",
      "        mdl['cycle_run'] = {'v_target': nedc.cycle_data()['cycle']}\n",
      "\n",
      "    return mdl\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 31
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def run_vehicle(is_nedc=False):\n",
      "    mdl           = make_model(is_nedc)\n",
      "    wltp_exp      = experiment.Experiment(mdl)      ## Validate model\n",
      "    mdl_out       = wltp_exp.run()                  ## Run experiment\n",
      "\n",
      "    params       = mdl_out['params']\n",
      "    cycle_run    = pd.DataFrame(mdl_out['cycle_run']); cycle_run.index.name='t'\n",
      "\n",
      "    return params, cycle_run"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 32
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def plot_cycle(title, v_g_n, parts):\n",
      "    font_size = 12\n",
      "    tick_size = 9\n",
      "    title_size = 14\n",
      "\n",
      "    t = np.arange(0, v_g_n.shape[0])\n",
      "\n",
      "    #plt.figure(figsize=(16,3.5))\n",
      "    fig, ax1 = plt.subplots()\n",
      "    fig.set_size_inches((16,4.5))\n",
      "    ax1.set_xlabel('Time (s): ', size=font_size)\n",
      "    ax1.xaxis.set_label_coords(-0.06, -0.030)\n",
      "    for tl in ax1.get_xticklabels():\n",
      "        tl.set_size(tick_size)\n",
      "\n",
      "    ax3 = ax1.twinx()\n",
      "    ax3.set_ylabel(r'Engine speed ($rpm$)', color='y', size=font_size)\n",
      "    for tl in ax3.get_yticklabels():\n",
      "        tl.set_color('y')\n",
      "        tl.set_size(tick_size)\n",
      "    l_n = ax3.plot(t, v_g_n.iloc[:, 2], color='y')[0]\n",
      "\n",
      "    ax1.set_ylabel(r'Velocity ($km/h$)', color='b', size=font_size)\n",
      "    for tl in ax1.get_yticklabels():\n",
      "        tl.set_color('b')\n",
      "        tl.set_size(tick_size)\n",
      "    l_v = ax1.plot(t, v_g_n.iloc[:, 0], 'b-')[0]\n",
      "\n",
      "    ax2 = ax1.twinx()\n",
      "    ax2.set_ylabel(r'Gears', color='m', size=font_size)\n",
      "    for tl in ax2.get_yticklabels():\n",
      "        tl.set_color('m')\n",
      "        tl.set_size(tick_size)\n",
      "    l_g = ax2.plot(t, v_g_n.iloc[:, 1], 'mo')[0]\n",
      "\n",
      "    #plt.legend([l_vel, l_acc], ['Velocity', 'Acceleration'])\n",
      "\n",
      "    plt.title(title,  size=title_size, weight='bold')\n",
      "\n",
      "    ## Plot part-Limits\n",
      "    #\n",
      "    part_limits = [e+0.5 for (s, e) in parts[:-1]]\n",
      "    for limit in part_limits:\n",
      "        l = plt.axvline(limit, color='r', linewidth=2)\n",
      "        "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 33
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "wltc_data = wltp.model.wltc_data()\n",
      "columns_visible = ['v_target', 'gears', 'rpm'] \n",
      "\n",
      "(wltc_params, wltc_cycle) = run_vehicle(is_nedc=False)        \n",
      "wltc_parts = wltc_data['classes'][wltc_params['wltc_class']]['parts']\n",
      "plot_cycle('WLTC', wltc_cycle[columns_visible], wltc_parts)\n",
      "type(log)\n",
      "log.info('Class: %s\\nDownscale: %s', wltc_params.get('wltc_class'), wltc_params.get('f_downscale'))\n",
      "\n",
      "(nedc_params, nedc_cycle) = run_vehicle(is_nedc=True)        \n",
      "nedc_parts = nedc.cycle_data()['parts']\n",
      "plot_cycle('NEDC', nedc_cycle[columns_visible], nedc_parts)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "INFO:wltp.experiment:35 g1: Revolutions too low!: [  13   14   96   97   98  139  140  381  382  383  384  393  394  442  443\n",
        "  513  514  527  528  534  535  536  566  602  603  983  984  985 1028 1450\n",
        " 1451 1479 1480 1481 1794]\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "INFO:notebook:Class: class3b\n",
        "Downscale: 0\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "INFO:wltp.experiment:Found forced_velocity(v_target).\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "INFO:wltp.experiment:47 g1: Revolutions too low!: [  11   25   26   49   50   93   94  117  118  185  186  206  220  221  244\n",
        "  245  288  289  312  313  380  381  401  415  416  439  440  483  484  507\n",
        "  508  575  576  596  610  611  634  635  678  679  702  703  770  771  800\n",
        "  801 1158]\n"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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FhfD446E7jpEjVVDgvPPU2AM1NbByJSQlNf++8eMhLw9OnYLk5Iav/ec/8F//\nFbo0RkIoWhS4ron42ngSScSR5Ai6XJz84iRxqXEUTinEUe2g16xeZFyU0boERokECoRAfQg8+csn\nqSqvIpn6WjOXXB7gAfVHDcz74zyAdvWBKoQ/FuQtYMmsJSSRhIZGMsl0pzu3c7u6t94DL/7qRVhG\njN8oNN/1wLMu6UjHiJ+DBXkLWDFrBebTP42Fsk6bcfMM1q9Y764zvW37y0+/5MeCH32mJxCBp73t\ntChoKV/91fgcPjHrCf6Z8E86WjvyO36nllfC/CfnA4FfF9G+/oUSyXog1ng7N819XgE8+csnSS1P\nbVJGvvz0Sw6vO8yZzjPVe8HndW6zqaf9ffuG9niefRYmT1bjFfz0p2D2o3ro1QuuukqlZfRo+Otf\nIeP0fezHH6tWCrGkWzc4dAgcDogL4gG+65roTveQlAvrQStVW6oYsWUEjpMOtly2hQt2XBB4wgxA\n0/XmJsgQraFpGnJ6Y8P0cdPZ+tHWJsuf4Ikmy57JfoY1x9ZEIllChIars2IY66PLO15O1fEqElDD\nOXenO7dxW5P1Vo5bycIPF4YtHeFmsx3n88870r37A/TuPa/J6551STTOweUdL8d23PcT9FDWaaMt\no4m3xze77Ud5lCRaeLzlp0DTXlw8hz17HuG88z4gO/uKkKShiQiULWg5X/3V+By+wivsZ3/Iroto\nX/9CiWQ9EHUBlkFv56a5a1XXdbZ+tNVn/daHPn5d54WFcM01sGuXX8kMO11Xafnf/4V9++D998Fu\nh5wcNdBhbm60UxiYrl1Vd4ru3QN/r+uaCLZcNL7fK/uojMPLDtN/WX8ANl28iXNXnkt8x3hfmzAs\naVEgBKBZNfcNTkvMdik2QjRmsZ9uYoz6IIzDR1i/NoKJCoP6MQq8fwn3rEuicQ4sdgumAMcpDrZO\nS9AT3PntSyKJftetwWg+7W1n4Mlg8tUfccT5zJ9grotoX/9CiWQ9EGu8nZvmrlUN398PE0n0+zrf\nuhUGDgw0teGjaXDOOfDCCzBmDMybB2ecAUOGxF6QAOq7HwQTKGiuvHgrF/n5+eTn5/vcXoeRHfjx\n8R/RHTqOUw7qjtRhybYEnjADaB+1ghAt0BN0rFj9Wtdujv1mrEKEms1so5Zad39PBw7vKyZGMFFh\n0Xxzds+6JBrnwGa2YSOwG+Ng6zSrZm2xr3wttWg0M/x2KzWX9rY08GQw+eoPBw6fn33BXBfRvv6F\nEsl6INYy4WClAAAgAElEQVR4OzfNXau67vv7YS21fl/nW7eqsQSMxmKBFSvULAdWK7z+erRTFBxX\noGDUqMDf21x58VYuxo4dy9ixY91/z5o1q8Hr5nQz3aZ1Y/PYzThtTs6eczZac9NQGJhMjygEcM30\na9AyNKob/cxnfoP15mpzufK+K6OUSiGMa/x94znFKaqooppqSihhMYsbrLMocxGTpk2KUgpDpfmn\n1J51STTOgSsfGtdl4ajTRkwe4c5vX9vudUmvZtMTyE/gaW87gYKW8jXYc1hMMdYEa5Pl8+LmBXVd\nRPv6F0ok64FY4+3cNHetuq5pb2Wk1yW92G/a79d1btRAAaiWBCtXqvEOJk6MdmqC05qZD1zXRCjL\nRe4vcxm6dijDvxxOx0kdg0uYAcgYBWEkYxTElk/e/4TZ02dzYM+BBstTSSWBBPQknetmXtcuBvsR\nbUyE+lEvyFvAK0+/gtPmRENrMOJ55lmZTF84PeYHMbNaS/niiy7k5Pya/v2XeF3Hsy5xjaRt0SwR\nOwcL8hawbPYyrLXen4KFsk7znPXA17ZbSk8gAkn7vn1P8eOPf6B//+Xk5LQwX1iwIlS2oOV89Vfj\nczjo/EHMnj6bquKqkM16EM3rXyiRrAeiKogy6O3cNPd55bqmvZWR5373BG8vXInZ2gGLZiH9jHSv\n1/lZZ8EHH6jm/iL0Fi6EoiJYtCi497uuCUutxT0biL/loi3f70mgwMO4cbBpE8yYAb//vapzpk+H\nLVvU/KRLl0JmphpZdOpUOHlS9eV5/nnv22vLF44QIoZE8GamrbNaD/HFF13p3PkXDBgQo20024m9\ne59k797H6dfvNXJzp4ZnJ1K2hIiuKJfByspNbNlyKRdddKKZddQggZWVwY3KL1q2ciUsWQKrVkV+\n343v9yorN1FUNA1Ni0PTzJxzzmJqa/exY8cUkpP7AXD22fNISxuGzVbGjh1TcThOkpo6hD59nj+9\njY0UFU0HdLp2vYPc3F9H/sCQrgcNvPoqPPdc/d9r1kBtLRQUqKlC5sxRy+fMUfOWFhRAdbVaTwgh\nRHvQdgbIa/vaTtcDIYQx2e3lLdYx27dD//4SJAgn1xgFRpCQ0JXBg9cwdOhn9OjxEHv3PoGmaWRn\nT2DIkE8ZMuRT0tKGAWp2npycKQwdWoDDUU1ZmbqpLCqaxoABbzBkSD779z+PzVYelWORQIGHbt0a\n/l1QABMmqN8nTIDPPmu6fOLE+uVCCCHaOrn5jB2SV0KI8LLbT6DrPgY0PM3I4xO0FUYKFMTH5xAX\nlwKAyRSPpqkZD8rK1rBp0yUUFU3H4VDTYlRUFJCdrW4qs7MnUl7+GU5nHU7nKRITz8BkspCefjGV\nlRta3G9d3WFKS5fyww8PsnPnbfzww0OUli7Dai0N+lgkUNCM48chI0P9npEBJ063KiorU10RXMvL\nyqKTPiGEEJHV0vSIwkgkr4QQ4aUCBc0HIyVQEH4dO8KpU1BVFe2U1HM4qvnxx8fp0eNhUlOHM3Lk\nDwwdWkBcXAdKSuYCYLOVYTarm0qzOQObrQyb7Thmc4Z7O67lvlRXF7Jt2w1s2DCAw4dfR9ftxMd3\nQdfrOHx4KV9/fS7btt1AdXVhwMcg0yM2IysLyk+39KioUOMTgPq/okIFC8rL1XpCCCHaA7n5jBVt\naXpEIYQx2WwttyjYtq2+JbIID02DM8+E3bth8OBopwacThuFhTfRs+ejpKT0a/BaTs4v2LPnMQAs\nlkzs9grM5nTs9nIslmwslizs9vquBg5HBRZLts997dx5Cz16PET//q8TF9d0/lmHo5bjx//Nzp23\nMnz4lwEdhwQKGvEcC2XMGDU4xqRJsHo1uKbMHDNG/T1livr/hht8by8vL8/9e+N5N4UQQsQaufmM\nHZJXQojwUjd0TnTdiaY1bait66pFwcCBTd976tQPHDz4Er17zwt/QtuBgQPVeBDhDhTk5+eTn5/v\n83Vdd7Jjxy/p2PEaOna8GgC7/SRmcwcATpz42D2oYXr6GI4fX01OzhTKylbTqdMNmEwJmEwp1NaW\nEB+fS0XFOnr1yvO5v+HDv2o2vXV1pXTuPJnOnScHdqBIoKCBO+6A9evBaoVvv4W334b33oNLLqmf\n9QBg5kw168FLL6mL8Wc/871Nz0CBEEKIWKduPp1OaVFgfJJXQojwsttVv2Rdd3gNFBw+DE4ndOnS\n9L379j3J4cOvSaAgRAYOVEGZcGv84HfWrFkNXj969B3KylZjsx3h8OHXSUk5j+Tk/pSWvorJlIzF\n0ol+/V4FoGfPmezYMZWDB18iNXUwmZnqprJPn4UUFk5BzXpwr7t7gr9OnfqBU6d2kp7+E5zOUxw9\nupJOna4N+FglUODh5ZebLvM2H2dWlgogtCW1tftISOjhtZITQgihSHP2WCJ5JYQIL89AAViavP7F\nF3DBBfWzOHoqL/84zKlrXwYOhL//PdqpgM6db6Bz56bNzbt1u7vJMosli0GDmt5UpqUNZ9iwdUGn\nYd++WcTFpbJnz0ySkvqQkNBVAgUieIWFN9O793w6dBgZ7aQIIQSlpUtJTR1MaqoBOhs2IGMUxAoV\n1ImTQIEQImzqAwXe65mCAtUyuTFdd2C17sdi6RjO5LUr552nxoMQ0LnzzWRnXwlARcV6NC24uTnl\n8bEA1Jdep7M22skQQggAyso+pLJyU7ST4YUECmKHjslkkbwSDXz6Kfz0p5CdDTk5atypyy+HefPg\n0KFop07EmvpB57wPaLh2LVx8cdPl1dXqjtZs9j1InQjMWWeprh6VldFOSfRpmoWamj0ApKePCvpB\nsLQoEKfp8tRFCGEYuu406A2eNGePHTqaZpG8EgDU1UFeHrz2mgoKXHaZmk5tzx51Y7FyJZx7Ljz9\nNNx1V7RTK2KFzea7RcHJk7BzJ5x/ftP3lZevJT19DFbr/nAnsd2Ii4MhQ+Cbb1QwsD0rLV1CZeVX\nJCaeRVbWOLKzJ5Cc3Dfg7UiLAgGoL+Uy4JMQwjh0QwYK6scoMF7aRGM6mhYvgYJ2TtdhyRL1tLGw\nEDZtgptugk6d4Iwz1A3F1Vervs3ffANPPQX/+Ee0U932WK2lbN06MdrJCLmGYxQ0tGYNjB4NCQlN\n31dRsZaMjLH4aokggjN6NKwLvmt/m9Gp07WMHFlE375/xmRKpqRkblDbkRYF4jSjPr0TQrQlVmsp\nJlMiFktGC2satU5yAtKiIBbounQ9aM9sNnj9dXXj36kTrFjhvQm4p7POgn//W81mlZCgpsf2Ngid\nCJzdfoLq6sJoJyOkdF3Hbi/HbM70+pnw9ttw/fXe31dRUUC3bvdQWvpKBFLafoweDX/5S7RTYQSq\n4kpKOptu3c4OeivSokAArma+8sU3kpxOG19/bbSB2oQIr5KSOZSWLmlxPeO2clLN2Y2ZNtGQdD1o\nj5xOeP99GD4cFi9WXQ3Wr285SOAyZAisWgWPPqrGL/jyy/Cmt/1oe98znc4aNM1EXFxKkxYFtbXw\n4YdwzTVN31dbuweIIympd5s7J9E2apQqs4523lCjomIdmzdfyqFDr1JbG3z3FmlRIE4zZjPftszp\nPEV19XfRToYQEaXrdnTd6seaxmxRoOuum0/jpU00JoGC9ua992DmTDCZ4E9/UjdpwbQIGDUKtm+H\nV19V27jiChg2DK68Evr0CX2624O2+EDKbj+B2ZyBppmbHNuqVWpsgs6dm77v5MkNdOgw8nT91M7v\naEOsc2fo0gU2bvQ+NkR7kZIykJycX3LixP/j++9vwem0MXRofsDbiflAweHDqg/Qli1QXg6ZmTB4\nsGo2lpsb7dTFDuMOHNaWqW8v6sZD2jaK9sHfL4vGrZN0TCbp9x4bXHllxOtIhNJHH8Hvfw9VVfDM\nM6HpMhAXB//93zBxIrz1lrrx+NOf1HgHV10VkmS3M0at04Nns53AbM7E6axr8pnw6qtw663e31dV\ntZG0tGFomkzfGg7jx8MHH7TvQEGHDiOxWvfTs+cj9Oz5CLruDGo7Mdv1oLAQbrgBBgxQfdDsdhVB\nqquDpUvVyLU33KDWE/5oe5He2BFc4RUiNvlb1xi1lZO0KIgV9a0/5LOtraqrg4cegttugz/8Qc2h\nHmwrAl9yc2HaNDXY4ZtvwowZ6junCEzbbFGgxidQLQrqWwYUF6uBMb11OwCorPyW1NThTd4nQuOq\nq1T3o/assvJbioqmsXHjKI4efQdNC+6WP2ZbFNxyi/pweP11SExs+nptrRqQ5tZbpX+Zf3Tpcxtx\navR0p9NGXFxclNMiRKT4V9eoMQrqIpCeQKmR9J3O2mgnRLTIKYGCNu7OO+HQITWTQceO4d/fZZdB\njx6wfDlMnRr+/bUtbTFQoFoU2O3lDY5t6VK48UZISmr6Hl3XqaxULQrAuC0KHI4atm+/gUGDYu+O\n+6KL4Pvv4cgR710/2gOn08qIEZuorNzE4cOvYbOV0bXr7QFvJ2ZbFHz1FUye7D1IAGr55MkSJPCX\ncZv5tl2uZkBG/ZAQIhz8f6pkzDpJjaQvzdljg8orCYK3TZs2werVamT5SAQJXO6/H/72t8jtr61o\ni98z7fYTWCyqRYFrmkOnU7U+8dXtoLZ2D3FxqcTHd/Y6toFRnDz5JWVlH0Y7GUGJj1dBvQ9jM/kh\nER/fmbi4FDIyLuKcc/6G6+FkoGI2UNCSDz9U4xcIf7W9SK/xSaBAtEf+fVk07pdKV4sCI6ZNeJKu\nB8GrqFjP8eOro50Mn/buhauvhgULICUlsvu+8kr1tHL37sjuN/a1ve+Z9YMZ1rcMeOcdyMhQs254\nU1n5LWlpIwAM3fWgoqIAlWex2T12/Pj23f2gomI927ffSGnp69TWlmAyxQNgt58MaDttKlCwaJEa\nl+D551UBzc+Pdopih64btT9w2yUtCkR7FEiLAmPejOuYTBbAga4HF6EXkSKBgmBVVHxu2KeJVVXq\nZv3hh2HKlMjvPz5e7XfJksjvO5a56v62VG82HqOgulp1i37uOd/jZKhAgYoiaFocRv0sKS//DMCw\ngYyWXHmlGuTUZsSvERGQnHwO3btPp6amiMLCmygufpbdux/hhx9mBLSdNhUocDhUAT15EsaOVeMX\nCH8Z9eldW+YKFMh5F+2Jv3WNUYOXOqAZusmocJFuIsEz5hghuq7GJRg1CqZPj1467rwTFi9WgykK\nf7m+88Tmjac3rlkPXJ8HzzwDo0fDpZf6fk9l5TcegQINdStmrKf2TmcdlZVfA6aY/Zzr2hX69oVP\nP412SqIjLW04Dkc1Z545i2HDPmfYsC/p0OFCamp+CGg7MR8oeO012LdP/X7OOXDhhWrk2+3b1WCG\nwj9tcTRao5MWBaI9Uq2XYnd6RPXkRwIFsUF1E5F8Cpwqf9ZoJ6OJN99U02G/8EJ00zFgAPTrB+++\nG910xJK2+J3HNZihpsVx6pSdl16Cp57yvb6u66enRqzvl2DEKRIrK78mKakvJlNSTAd2br4ZXnkl\n2qmIDrM5k6ysyz3+TqdTp2vp2zewAVZiPlDwt7/Br3+tokZ5eaq5z9Gj0U5VeNTU7A3j1mXWg2C0\nLk9UUzOjfUAIEV6xPZhhfYsCmSLR6GSMgtbQcTqNFSgoK4MHH1Rf/JOTo50auOceePHFaKcilrTV\nQEEGmmbm228dDB0KvXr5Xr9+IMMc9zIjBp3LywvIyBhjyLQF4tZbVYuCwsLI77sgqYDNP93M5p9u\n5tCrhyK+/23brvFah6ek9AtoOzE7PaLLK6+olgSnTsG6dfDJJzBxouqTcvXV8MQT0U5hYBbkLWDp\n7KXU1dZhxkwSScRr8aT3SuGy/85nxmOnwrRno34pDx/Pc62jY8HiPt8ZZ2Yw4/kZXHrVpU3WSyWV\nRBJxJjkZPnkrT/15PSkpA1rc1+KnF6Pb6t9vj7dx/k3pXHCBvcF6nvvyxnP/18+8nvvz7g/peRHt\n2yfvf8Kz05/l4J6DAD6vQ28aX5uDzh/Es9Of5djeYyQ6E4k3xZPUrZabHsumXwufVWp6xPDVScEe\npzrGdOzxfblu5iIe/NPvGry+IG8Bb817C61Gw6JZ6NCzg7suabze0tlL0WvVfm3UH6srLS2VdV/H\nEM06wnX8tdW1WE8/kXalx5HkaHV6fJ3f777+zmt9btHMpHSt4eG/ftIkD8Ktpfrc33xy5XN1cTUJ\negJ6ss6kByaFNV9V+Qs8UODv9R8omw2uuw5+8QsYObJVmwqZa65RMyBs2QKDB0c7NaHjed3asGH2\nuFXw9T3JH9FsUdC4rkwhJag60luZTuUZEkmkzvwHuo2ZDPjeVmXlt6SmNhzl0IgDGlZUFNCly52U\nli6N6UBBWpoKLj7xBLz1ln/vceVxfG18qz63EronMOTTIUGkOjRyc3+NyZTQ6u3EfKDgnHPU/8nJ\ncPnl6h9ARYWaOieWLMhbwIpZKzBjpgMd6E53bud29QDrR1j4tJXzBoXny05763rgea7NmEkmueH5\n3gMv/upFVl2xii9XfOleL5dcHuABtZEamLtsDi/kvsqjs+c2u68ls5aQRBJd6FL//jqYu3QOi7r+\nnZnPPN0kTd403v+8P84DkGCBCIlP3v+EJ3/5JFXlVSQT2CO7xtfmE7Oe4J8J/yTeGs8ABqiy5QRK\n4PlHZ9OjZ0t1mRNdD08H4GCPs8Ex1sG8p+YRF7fAXf4W5C1g1Z9WcabzTHW84K5LWIb7eF1lvQMd\nSCaZSiqxYvW9Ly9l3dcxRLOOcB1/ujMdEybiiAtpenyd399d/zvsVrvv+vxA0zwIt5bqc3/Piyuf\nU8tT+R2ng1KVMP/J+V7XD53Ay5+/13+gdB1++1s1u8Hs2UFtIiwsFrj3Xli4EF59NdqpCQ3P69aB\ngySS0FCj8vn6nuR/3kZnXKbGdWWwdZK3Mt1gW3aY+8k8FuT53pbnjAcuRut64HTaqKhYT//+r8d8\niwKAadOgTx/YsAEuuKD5dV153J3urf7cqiutY9PYTViyLfSe35vEMxKDPYSgHD26kmPH/k3nzpPJ\nzLycpKQzg9pOTHc9+P57OHDA+2vp6WpAw1iyetFqkkkmhRR60KP+g/a0GVWPs+qFVWHau1EHDgsP\nz3Pt63zfe+JevnnrmwbruSuO0x7SZ/Lx4o1+7SuV1KbvZyb/+dtXXtPk7afx+x/UH+SDRR8EexqE\naODd599FL9ebvQb9vTZ70pMEa4LXsjX95CMt1mXhnIkl2ONsqfytXrSa7s7uXusSz+N1lfUe9CCb\nbMyYA96Xr2OIZh3hOn7PYwplenyd3wRrQoNz4Ks+D9/np/e0Nlef+3teXPnceP0HHA+ENV+DaVHg\n7/UfqFWr4D//gTfeAJPBvrXecQesXAlHjkQ7JaHR+LpNJTVk5SpaLQoa15XB1kneynTT74TNb8tz\nIEMXo92Ml5fnk5IyAIsl23BpC0Zysuqa/sgjKujYHFceh+Jz68J9FzI0fyhd7+zKztt2Bpjq1uvW\n7W56956Pw1FFUdE9bNo0JqjtxHSLgq5d4Z//hJISNajMddepaWtilcVuwXQ6dhNHnPeVasOz7/bW\nosDzXIPv852gJxBP8xeVxd7S6xYSSfS5HYvN4jVN/jLbY7oYCwPRrBoJtL6pGqgylUBCK+qy8HU9\nCOVxepY/i93i1/G6yrprXX/T4rmvQI4hUnWE5/E3l7Zg0+Pr/DbeV6Q/P70Jpj73dl6ay+fw5mvg\ngQJ/r/9A6Do8+yw8+aSam95oOnZU03L/9a/w+OPRTk3reV63GlqD7y2tz9voBAr8qSv9KUv+lmlf\n2/I2kKESZ6iuB8eOvUPHjtcBxgtiBOuWW2D+fFizBq64wvd6zeWxZ77m5+eTn5/f7D4tWeq7fdbl\nWRTdWxRwmlsrKakPoNGjx4P06PFg0FNwxvQdRloa3Hab+n3nTvjf/1X92C6/vOXmJUZkM9vc/VQd\n+Kg0wtZypX2NUeB5rsH3+bZq1hb7LtvMzX+Zsplt1FLrczt15jqvafKX3Rz7lbgwBj1Bb9IEPlgO\nHFixBl2XhXPWg1Aep2f5s5ltfh2vq6y71vU3LZ77CuQYIlVHeB5/c2kLNj2+zm/jfUX+87OpYOpz\nb+eluXwOZ74G06LA3+s/EJ99BsePw7XXBvf+SLjnHpg0CR57DMwx/a264XVrpeH3n9bmbX2Lgsh+\n1/SnrvSnLPlbpn1tSw1kmEZ8fOcGy410M+502jl27F2GDFkLGK9bRLDMZnjmGdWq4PLLfbdMai6P\nPfN17NixjPVotj5r1qwG6zqqHZgSTWhxGlXfVWHpZGn1MTRn//6FdO16V4MxCdLShjVYx+m0cujQ\nX+nefUZA2zZYI67g9eunLoDHHoMTJ2DWLHj+eSgtjXbK/Df+vvGc4hTVVFNCCYtZ3OD1Bal/YuI9\nV4Zp7+1r1gPPc+3rfC/KXMSIySMarDef+Q3WmavN4ae3DfRrX1VUNXn/c8zh0tsHe02Tt5+m+5/L\nlfeF65oQ7c01069By9CavQb9vTaLKcaaYPVathamPcOkaZNaSE34AgXBHmdL5W/8fePZb9rvtS7x\nPF5XWS+hhOMcx4494H35OoZo1hGu4/c8plCmx9f5tSZYG5wDX/V5y9dc6LRUn/t7Xlz53Hj9eXHz\nwpyvgU+P6O/17y9dh9/9Tg1EFufjYbYRDB2qWriuXh3tlLRe4+u2iqoQlqvotChoXFcGWyd5K9NN\nt/Wcz22dPLmBtLSmTzGNNJjhkSNvkJR0DsnJvQFjBTEqK7/lhx8e5OjR4OYknTRJjXOyfLnvdVx5\n3NrPrerCar49/1s2jdlE0fQi+v61b1Bp9lddXSlffnk2339/J4cPL6ey8ltOndpFZeW3HD68nO+/\nv5MNG/pQVxd4HylND7YtQgwoL1ejXB48CIMGRT4irWlawE09FuQtYNnsZVhrrVg43WRdiye9VyqX\n/fen3PvwIczm9JCndd26bLKzJ9K//5KQb9uoPM810OB8Z56VyfSF092zHniul0oqCSSgJ+kMm/wd\nj89fTnb2+Bb39crTr+C0OUkjjQQSTs96UEjewlVkZIzxmiZvPPd/3czrZCBD0TJNDUbVYgc91MBP\ns6fP5sAeHwPANKPxtTno/EHMnj6bo3uPumc9SO5Ww3UPm7h92hfNbuubb0agaRrDh38dcDr8Eexx\nuo7RnlDD1b+9lEeeebbB6wvyFvB/8/4PasCiWUg/I91dlzReb9nsZThrnWho1NF04LiWyrqvY4hm\nHeE6/prqmiazHjiTnK1Oj6/z+93X3/mozy0kdT3JzL/OD89Ahs2UrZbqc3/zyZXPVcVVEZv1YPfu\nRzl+/N9ccMH2gN7n7/Xvj3//WwUKNm82dqAA4LXX4M034YM2MGSQ53Vrx04cce4BDX19T/LHsWPv\nsW3bRM4/f3uLM0UFxI/Pt8Z1ZbB1pLcyXf+ZUM3P7upF3oL/8/reoqL7SUjoSs+eMxss//LLsxk0\naI375jxaTpz4hG3bJjF48H/o0EFNLbJhw7mce+4/SUk5N6ppq6j4nG3brqFLlzs5dOhvDBq0hrS0\nwGcUWLsWfvUrNcZdgo/eKK48ttRa/P7cCuZ+L9Tq6o5SWrqEsrIPqa7eit1ejtmcSWrqILKyxpOb\nOxWLJTvg7bbpQIGnPXvgrLMiu89QXjinThWxYUNfRo06Qnx8p5Bs09O6dZlkZY1nwIA3Qr7ttiw/\nX2PgwFV07Hh1wO+trt7B118PYPDg/5CZeVkYUifEaQEECsJt69ZJ2O0nGDq0oNn1vvlmOLru4Pzz\nN0coZf6pqFjP7t0P4nTWcc45L3vpbyqMYufO20lI6MahQ68watT+8OzEQGUrlHbvfoSjR9/mwgt/\niMr+nU4YMkSNTXB14B+vEVdTAz17wldfRf67Zqw4duxfbNs2iREjNpOaGsL5JKNUBk+c+IR9+/7E\nkCGf8tFHPYmPL6FXrz/Sq5f3wSo2bhzFWWc9434w5PLVV+cwcOCqgOe3D7Uff8zDZjtG376L3Mu+\n/now/fsvDW1+BaimZi+bNv2Ec855hezs8RQXz6W6egv9+y8LantXXw2XXQYzAmuB3ywjBArCpc10\nPWhs796Gf8d+xR3evl3hHGG8rQu+yZjK0/bU5UMINcOKP00ZjTpuig5oaJpZyq7h6WiaxTBNZ2NL\n4F0PQunvf1fjUE2cGLUkBCQpCX7zG3jhhWinxLiiNetBuNTVHcFiUQ/uzOZDgO/v6E5nHVVV35Ga\n2jSwrGlx4Gv8hwjSdRvx8bkNloWj64Gu61RXF3Lw4GIOHnyZurrDPte12Y6zdet4evZ81N1yNyfn\nZo4ffz/oz98nnoB589SYdqJlbSpQ8MMP8N57auCbU6fUlDVthauCdTrDM6+4+lLQNirvSAv2vLW1\nD00h/OHvIIXhHMywNdRTA01uQGOCjskUL/kUhGAGMwyVY8dUl4MXX6x/WBwLZsxQXRCOH492Soyq\nbX3nsdmOYrGogQlNJnVMvj6zqqu3kpR0FmZzapPXjDIOgK7b0bSGo3GGKm1Op5XDh99k27Zr+fzz\nTmzdOoGKis+oqFjLhg392LnzNqqrG3ZzsloPsGXLf5GdPbHBAHwJCV1JTOxFZWVw3RKHD1cPj//P\new8R0UiMj8/a0KxZkJoKM2dCnz5qcBkjj5QbGFcFG55AgVG/lMeC4M9b2/rQFMI//gYlnWEMjLZG\nfYsCqTONTdedpwM6xs2nvXv/RHr6RWRm/jTaSWkkeuXvd7+Dm25SXQ9iSffu6jvniy/C//xPtFPj\nnyNH/kmnTjegaeF/btjWHo7YbPVdgcvLe5GRsddnmTl58iuvAxmCcQYz1HU7JlPD0fn9DRTU1Oyh\nomItNtsxkpMHkJV1BdrpKJ+64f8Z8fFdyM39Db17v0BiYnf3e+vqjnHw4Ets3nwZaWlD6dLldmpr\n91JcPIfu3X9Lz56PNNlfhw6jOHnyC9LTRwV1rA8+qO4Zb7optoKR0dCmWhTcfDO89BIUFqoZEH7z\nmzXS0kEAACAASURBVGinKHTC36Kgfc16EErBtyjQW/V+IWKRCkq2fM0bN3ipo2kaJpO0KDA+43c9\n2Lv3fygufjrayXArKZmP02k/Xf4i36Lgm2/UIIaNZhuLGQ8/DIsWQXV1tFPin1277sRmOxahvbWt\n7pZ1dfUtCp5+ehfx8fN9fmadPLnBPUBgY0aZgjCYFgU2WzmFhTezceNPOH78A6zW/ezZ8whbtvwX\ntbXF1NTsYdOmi8nN/Q1DhnxMbu6vGgQJAOLjO9Kr1+NceOFeOnWazMGDL1NdvZ1Bg9ZwxhmPugMO\nntLTf8LJk18GfaxXXQWVlVDQ/FBJgjbWosBiqR+0cFRwQSavHnwQvvgC7HZ44AEVgZo2DbZsgfR0\nWLoUMjNDtz/vXDeV0vXAaII/b9GZU1iI6HL6+UXRqOOmeHY9CH/6Kio+JympT5O5t4U/9JgI6Bjp\nxmnfvj+Rk/MLVDm1ouu61y/q4fKHP8Af/wgZGRHbZUj16wcXXwyLF4d2sLRwUV1MaiO2L/W/scuj\nv1SLAlUvl5ZaSEtL9PmZUFn5FT16/Nbra7Ha9aC2tpjvvhtPRsYlXHjhHuLiUgBwOu2UlMzl66/P\nBTTOOms23brd3eL+4+IS6dLlVrp0ubXFdVNSBrN37x9bPigfTCb47W9h/nwYM6bl9QNVWbmJoqJp\naFocmmbmnHMWk5R0JkVF06iq2oLZnE6/fkuxWDKx2crYsWMqDsdJUlOH0KfP86e3sZGioumATteu\nd5Cb++vQJ9QPbSpQsGRJ/Yiz48bBhAnQt5VTV+7YAZs2wfr1UFWlmsJlZqoRbgsKYNkymDMHnnkm\nJIfgU7hbFBj36Z1x1bcICO68tbUPTSH8499ghkatk+rHKIhM14OSknl06vRzcnJuCvu+2h4dTYs3\n5HXkKXwPAAKn6w6cztrTn0/66ZsHS4vvC4XSUvjyS3jnnYjsLmwefRSuvx7uvhvi48O7r2PH1M1O\nbi7cd5+6AQqEK78jo21953ENZqjrcOQIdOhgoaamaV1jt1dgte4nOdnXFINxhul60DRQ4L21g8NR\ny9atE8jNndpkukeTycwZZzxK9+73Aw53ACGUkpPPwWotxuE4RVxcclDbmDpVdRHatav194qNJSR0\nZfDgNcTFpXD8+Afs3fsEOTm/wOGoYejQAkpLl1FSMoezznqG4uI55ORMISfnF+zceRtlZWvIyhpH\nUdE0BgxYTnx8VzZuvJDs7ElYLN4jqD/++Dig4XqoDK7gru7xO5x5ZuDBlTbV9eDaa6GoCP78Z0hO\nhrlzW7/NjAyoq1OtCU6ehKws+Oyz+pF4J05Uf4dfeMcoMO7TOyNrbfCmbX1oCuEP/wMA/rY8iDQn\nkRzMUNcdUR19Ppapp+Hm0787o5wa34z02avrThyOGsLfirGpv/wFfv5z9f0tlp1/vrrxWLGiddvZ\ns0eN0P7447BwoRqk25PTqbrcFherc/evfwWzl2i0KDDO9d4arsEMT55UAaGEBIvX8nLixKd06HAh\nJpP3Z7OaZqampoidO2+huHh21D73fLcoaBrE2LdvFklJfenR42Gf24uLSwxLkADAZLKQlNSX6urC\noLeRnAz//d+q7IRafHyO+9hNpng0zUx5+Wd07KhuHrOzJ1Berm4eKyoKyM6ecHr5RMrLP8PprMPp\nPEVi4hmYTBbS0y+msnKDz/3V1pZgtZZgte6npuYHiouf5cSJj6mp2c2JEx9TXPwsNTVFQR1LmwoU\nuFrHnX023HUXvPxy67fZpQtceKGq9IcOVc3ijh+vbxaXng4nTrR+Py2JTIsCuWENRP2HXnB5Ii0K\nhNHouuP0TUI4tY0xCiI3PWLkvsi3PZ6tP4xbzxpr0E7PFgVEbOaDmho1xtQDD0Rkd2H36KMwe7a6\nmQ9GXR1cfrn6fhkfDx99pFop1HlcKnPmqPO2ZIkaG2Hp0sD3E8muB23t4YhrMMMjR6BzZ3y2Xior\ne5+srKt8bkfTzOzadTfx8V0pL/+MLVv+C4cj8nW+v10PamuLOXjwZfr0eT6i3ZIaS00dRHX11lZt\n4+c/h3ffBV1ved1gOBzV/Pjj4/To8TA223HMZnXzaDZnYLerm0ebrQyzOd293GYra7Cu53Jf+vdf\nQr9+f6dfv7+j6zoDBqxg2LDPGTBg+en/33S3gg5UmwoUrFsHl14Kr74K+/eHZpuff66iurt3w86d\n8NhjamaF8nL1ekVFJMYngPC3KDDql3IjC1WLAjnvwhiOHn2boqL7wrqPQFoUGLFsRHp6RNU0WFoU\nBKc+qGPEa8nFSGmrb4oe2UDB66+rJ/H9+kVkd2F32WXqieW//x3c+z/8UM3c9fzzqkXBqlUqYDB+\nPPz976qlwf/+LyxfDmYzXHEF5OcHE5hw4HSGOzistKWHI05nHQ5HFWZzJocPuwIFlibBY13XOX58\nNdnZ431uS9PiyMq6nLPOeorzznuP+Pgcvv/+9qBv7ILlb6Dgxx//h65d7yYhoWskk9dESsp5VFd/\n16ptDBqkWuqUlIQoUR6cThuFhTfRs+ejpKT0x2LJwm5XN492ewVms7p5tFgysdsrTi8vx2LJbrAu\ngMNRgcWS7dd+y8pW07HjNQ2WZWdPpKxsdVDH0abGKBg4EH75S/h//w9uuUVFXlvbLcAVCNA0FSCw\n2dQHwKpVMGkSrF4NY8f6fn9eXp7797FjxzK2uZWbIbMeGE9rWxTUN+2M/Q9N0TbY7eXY7RWnP8TS\nw7QXf1sv6aguUQ40LS5MaQmGDphOD5IX/jozsn2I25rIBnWCZaQWBeoJc01EWxQ4naqf/Z//HPZd\nRYymqQdLf/yjuolPSAjs/fn56n0uZjP84x+q9cAnn0CnTvDpp9Cjh3q9Sxe1bNs2dfPjr+i0KIj9\n75p1daVYLJ3RNBNHjkBODqc/ExqW5crKDcTFpZKc7LsTfLdu95KaOgwATTPRr98SNm26mNLSJXTp\ncktYj8OTP4GCqqqtlJV9wMiRuyKWLl9SUgZRVvZRq7ahaTBypBrfrmdP/9+Xn59Pfn6+z9d13cmO\nHb+kY8dr6NjxagDS08dw7NhKOnacRFnZajIyxrqXHz++mpycKZSVraZTpxswmRIwmVKorS0hPj6X\niop19OqV51fakpJ6c+DAIrp3rx9N9eDBl0hK6u3/AXpoU4GCESPg4EE1NeIjj4SmKcm4cfDmm2oU\nW6sVpk+HK69UAYJLLqmf9cAXz0BB64SvgpVp+oLVuql+2lJ03V+VlRupqPic7t2nRTspwgt1g2Bl\n3boMzj9/OykpA0K+D133fzBDlSYbcXHGChRE9im1dD0IVsOBJ41bzxrrxqlhi4JIjI/xwQeQlNT8\nQ5dYdO21qqXE1KnqyX8g1dgXX6iuC54SE1W32rvu8v6eESNg40b/AwWqfMisB8Gord1HYuIZAB4t\nCpp2PTh0aDG5ub9pdluuG0mXuLhk+vb9M9u2XUenTpMxm1NDmnZf/AkU7NnzKGec8bswPkjwX2pq\n61sUgCo333wDkyf7/57GD35nNZrP9ejRdygrW43NdoTDh18nJWUQvXsv4Pjx99i06RL3rAcAPXvO\nZMeOqRw8+BKpqYPJzPwZAH36LKSwcApq1oN7/T7n55zzCtu2XUNx8RwSErphtR5A08wMHBjcKLFt\nKlAwYYLqHgCqUu7Vq/XTJMbFeQ8ELFrUuu0GqvVPr5vTdqK8kdT6PGl/5/3w4WXs37+A3NxbIvbh\nJ/yTn6+Rk/Nr95fG8A3+5n/XA5WOOiAxTGkJhnQ9MAKH4xRVVZtITx/dzFr1gQIjt5gzyqwHrocG\nDccoCH/a5s1T01BHsbtzWJhMakDD/8/edcfHUdzft3u9SDpJVrNlNXcbd2NbgGmhmmYgIQmEDvkR\nQgstwTgBYmoAYzAhtNB77xAIxhQ3XGW5yHJT7+2kq3tbfn/MbbvbqzrJkuPHR8i6252d3Z2dnXnz\nvu+7cCHwxz8SD4Z4zpHnE1cGAMRHa8sW4LLL4t1Dvt+Dg0OJKKiRiAJRURAaesCyfWhvfw9HHpm4\n4V56+jxkZByD5uZnMHr0LSmrdzTEIgq6u1fB49mV9IQz1TAaR0IQODBMK4zGvKTLOeIIEs6TSuTm\n/hK5ub8M+3z8+PDJo8GQhbzt/4Z9hh22cTZ4dnuw++rdoHQ6TPjXf2CbmJghZFraTMybtwe9vevA\nMM0wGvORnn4UaDq57DWHlEfBY4+RmLCGBmDUKMIQHToYuJd2f9P8/e+if/dEuWL6vwIx5srnO3CQ\na3IYWnC7K8EwLQAwYHL/eI1Th6pDdqz0iDzP4qefUmdcczj0QBt9fRuwb19kx20CUf0x1EMPtNu4\n11szqKZmors5iVkfnNCD7dtJerILLhjQwxw0mM3ELG3jRpKKLR4cOEAybDm0M6FFxIwZhCiIF/IY\n5HDWg0Th89XCZJKJgtxchIWjNTc/h8zMU2AyFSR1jKKiO1Bfv2zQiOJoRIEgCNi//88oLb0XNJ1g\nHM0AgaIo2GxT4XL1T1UwaRKwM/nkCSnBgSUHYMgmE/m9t+xF2tw0ZBybgT3XJpepoKdnFVpaXkJL\ny6twOI6Dy1WB7u6VSZU17ImCV18lsh8AmD4d2LGDpIt57z3S0R4qGNh4wUOH5R1MyC+9ZO/JQBtU\nxkYg0BnVMIfnA5LJSipwmCgY2uB5L3y+OgAD2R/w0sAj1nakTkNtUBldUcBxvWDZnhQaUR0OPdAC\nIVBi9Z3DJfRA+zzWry9FQ8Ojg1gT5cRRXEAY2EnKm2+SMZshucWuYYH0dBJe8c47wPLlsbffti1x\nNQFAFAUVFYkYGorE0GFFQaLweKpgtY4DEBp6QJ5lnmfQ0PAYiopuT/oYaWkzYLNNRWvraympcyxE\nS4/Y3v4+BCGA3NzfDEpd4kUqMh+MGUPMDJmDKOwKdARgzDOC83LoXd2LsvvKUHJXCVxbXAmX1dCw\nAtXVf4DFMg5O5w8AAJo248CBJUnVbdgTBc88A/zmN8Qt91//Irlmzz0XWLGCGBseOhi4eMFDieUd\nXPSPvBmo684w7di16xJ4vbEn46tXj0Bn52cRv9+37xb89FOCyxpREAh0w2qddJgoGKLgeR84rhfA\nwA3m5HYfnptZvZ0AQDcE+yV5lVqLxOC4PrJViq6fVugBzw/cQPu++0i2n6EOQeBivg9jqT+GCqLV\nTacbvBAtWVEQPT0iufb9D03iebLYc+GF/S5qyCMnhxhtL1tGUh1Gw7ZtwNSpiR8jO5v4Zh2I8/Uq\n3sOBT4mrPt6hQBT09q5Devp8ANqhB21tb8JimYC0tNn9Ok5R0V9QV/ePmO/LWHA616G19Y2o5QhC\nQIMo0IHnvThwYDHKyh4CRQ2taWMqFAUGA7l/TU0pqlQydcgxwLPHg64vu5B2ZBpoEw3eyye14NDQ\n8BimT/8viovvkJShNtskeDxVSdVtaN3xJPDvfxPn1++/J8aDWVmEtZ07l7jNHioYWEXBYTPDZNB/\n2Z4YH5haGtPr3YfW1lfR0xOvzCjygM/vT1Ge0SBYtgcWy3gEAh0pLfcwUgNlmqyB6w/iDXXiQdOm\nITjBiz75FBU4qVIKhbqSu907UFFxUkrKDsWaNcCSJcCiRUSdN5SRiKKASIKH7vtN6zxYlhBORmNy\nsuUkaxKsjzI9YnjdNm8+Gjt2hMffJoqVK8nkdsaMfhc1LFBURIi4W28Fli4l2bO8GnP0iorkFAWA\n7FMQHwY39OBQURS43bvAcU5YrZMAyIoCMfRAEHjU1f2jX2oCEQ7HcdDrM9HR8VE/6luFysozUV//\nSNRV5UiKgubm52A2FyMr6+Sk6zBQSIWiAAAKC0nY+sFC8V+LsWnOJuy+cjdG30pSmXT/txv2GYkT\nxRzngsk0WvUZzzNJh4wMe6JgwgTy22oFTjkFePBB4hb7zTckK8Ghg4Hs0IeqxHeoI1WKglTrnQhj\n7PHsjrqVOADU6yPH6NC0VfPzzs4vk1pRYtlumM3FYNnehPc9lOFyVaC9/cODXQ1V/zKQoQfxlC8I\nQ5MoEFepI00+xbYdT3/qcm2D3x9rGUPtURAIdIHjUhcOpMTnn5Oc7Q88QBR5gaF16UPAxdF3KjNU\nDNXJCQUtstbr3QdgIE1Fw6H0KIgWWtfXtx4+X02/j/fiiySV9f8SLriAZC1wOoEnngDKysiYVYQg\nAOvWkcWuZJAIUaBUkCQCQeCwb1/ik+BDxZeppeUljBx5jbS6LnoUiKEHTU3PQKdLk9zr+wOKolBc\nfCcOHFgCjvMkVcbevTeipOSvOOKIj9DU9GzEcghRoI4Boig93O7tKCq6M6ljDzSs1inweHb1W2VX\nWAg0NqaoUglCEAQ4FjhQXleO8oZyZJ1CxuTp5emY/FbimacyMhagru5B1WeNjSvgcJyQVP2GPVEQ\nCRkZh1aqnYE0nREEfshLM4ci+n9PBualKb78PZ7oeW4ZplXcI+I2Op0l7DPCTi+MSURogWV7YDYX\nS/L2wyBoaHgcO3acB7d710Gth1KCOvChB7HKJ0TB0BtURlcUyKEbsevd2LgC7e3RHaRDJfY87x+w\ne7N+PTB/PnDllUBaGlHnDVXElw1i8EMPeJ5BZeU5cW8fOjAXEQi0B//VP8lxIlC/07SJcHEbm21K\nv47ldBJi6n8h7EAJkwm49lrgkUeAb78lqtizzyYeBgBQU0NCMkpLkys/MaIguTEMy/agvv7hRKuG\nQ0VRwPNeGAy5AEhcu8sFZGaSZ9njqUJNzd8wceKLoFKUxiM7+0ykpx+FbdtOh9+f2GzW49kNl6sC\nI0deC7O5CHb7NHR3f6u5bSRFgcUyAQ7HcUnXfyCh19thNI6E17u3X+WMGhVbUdDY+BQ6Oj7u13Ei\nYcPUDdCl6aCzySbSxlwjTPmJqwDGjVuBjo4PsXZtMTjOhfXrx6Ot7W2MGZOc382wJQoefxzwxxgj\n+Hxku0MDA6soIEzo8O68Bx/9uycDpSgQBA5GYz5crq1Rt2OYJmn7SKDpcKKgq4uMaBJdURIELiiJ\nKkypQeKhAJbtgdE4MqpfxGBAOSEdeEVB9IkbITCHnqIglpO+HHoQu95ksuuOsQ0fovTw9zteVQs8\nT5zZjzySpHC78Ubg5ZdTfpiUITT0gON8cLt3hmwzuKksST3c6O6OEYSuQGSioBNAbC+P1ELtUUDT\n5jCiQF6N1B4+8jyLurqHYh7ps8+ABQuAESP6VeFhj4ULSQjCpZcCbjfw1VfASSclnypycEIPyL1P\nPH56+IW5aoWGKGP529qI/wRNQ0o/V1b2IGy2SSmrA0VRmDDhOTgcx2LDhmloadHI2R4BLS2vIi/v\nIqlu2dlnorPzc81ttYgCm20aiovvTBnpMRAg4Qf98ymIJ/TA7d4R9o5JBSiKgn2mHZ7dySlGQmEy\njcTs2RswZco7mDTpdUyc+Apmz96QdPaNYUsUtLQQp8r/+z/gjTeATZtIip1Nm8jf//d/wLhx5CE+\nFDCwigIh2DnwgypzHO5IlaIg1RMhQeBgtU4Cy3bB44mcWkX0CYhOFISHHvj99QASz1zA8z7QtBF6\nveNw6EEIWLYHaWlHDimTx4OvKBBUoQepShNXXX2dQk2TOEj9xclnZEVBPN4jgsCC46ITBaGhBwOl\nKNi9m8SL5+SQv089lUige4fooxqqtOjpWYW9e28M2Uq8V4MXeiAIgYRUMJFyW7Ps4BMFanM7QhSE\nEtkc5wr+1m63gUAbamvvjXmsDz8Ezjuvf/U9VHDUUcAJJwD33w+89hox5E4Wo0eTVe6WltjbJht6\nkGzGpuFmnP3NNySs+baQLKzKCbVoZAgABkMuCgquRn5+6uNpKIpGaelSzJy5Gvv33xFXqjtB4NHa\n+hry8y+RPnM4TkRPz6oI24cTBfn5FyM//+J+1X2gYbNN7bdPQTxEgbjYNRBwnODAttO34cDdB9D8\n72Y0v9As/U4GFEUjPX0ecnMvQEbG/H6ZUA5bouCBBwhrOnYskW6dfjpwxBGEnX3xRWDiRGDrVmIc\nc2hgoBUFuogD30MJbW3vgWFSZaQ3NM0MAQ4UpceIEedg27ZTIm4l1zvyQFQr9MDvr4fdPiMJosAP\nijJBr884HHoQApbtRlrazJTE/aYKB1tRIIceMPB49mLr1gUpOXpT0z/R0/N9P0qQ5eyhE0KO84Fh\nCDsdr6IgFlEQKrHneWZA7s133wHz5sl/2+3ArFnq+OmhBbWigOe9Gn2p0qNgcN5t5N5wca+2hg7M\nRchE7uCtvoZmPaBpi4aiwBXcRrvdsqwz5jvN4yGTsLPOSkGlDxE8/jghCnp6iJlosqAoYMqUePPC\ni2OYxLIeyO0k0bHL8Ak9cLuBiy8GPvgAePZZoKtL/i6UKMglUQjQ6SyYMOHZAc0MYLNNxNixj2Pv\n3ptjkohO54/Q6zNgt0+XPrPbpyEQaIXfH84kaREFwwF2+7R+Zz6IjyhgB4wocP7khLnEDOf3TrS+\n1orWV1ul38mgq+trVFVdgW3bzgQA9PZujItc0sKwJQoAsvJx220kzqutjbCora3kBfSnP5HVkUMF\nA+1RMNjyzFSC5wPo7Pwqrm0bGpbHlOTHi/7ek4EMPaAoHSZOfBkc55VMsUIhDgCjKwrMqroCgM9X\nD7t9JgKBrki7RTweTZug06UfDj0IAcv2wG6fddAUBVpKooFTFMQnP1WaGbJsV0pVKDqdrR97C6Ao\nWrO/3LLlaNTU/I1sFTdREH3goR16kNp7EwgADz9MYqeVOOYY4McfU3qolIEoChipPZHJLROyjQBA\n+14NXL0CUv3ig07z09DQg127LkVv7/p+1y86lCvMQoTQg8iKggMH7kJ9/cMx2/7XXwNz5hwOO1Ai\nPx/Yu5eoeHTaTSJuTJxIFEKx0B8zQ7JfYkbOJJxseIwzP/wQmD2bqDvKy9X9IM8HpJAhMePBYCIn\n53zodFa0tb0VdbuWlldUagKApDvMyFgApzOcLB+uRMFgKQqAgVMUzFw1EzNXzcSM72aE/SSKhoYV\nqK7+AyyWcXA6fwBAxvLRMl5Ew7AmCv63MJCKAnHgG75CdrDQ27sx7m293mrs2XNdXNvyvCeFL6n+\nhx5QlFF1zQWBQ2vr6/2qFXmJ60BRNLKzz4gY9y7WO3peXTIIVw4KGaYRFss48Hxi8VSCQNKzHFYU\nhINle2CzTYHfn5zMrL/QeiYGWlEQu68RvVMC4DhPSiTY8iqvDj5fbbKlIJJBnsu1WXGsePrS2IqC\nwQg9eP994r5+zDHqzxcsGNpEAflNrjPP+zQVBYMdeiC26wMHFqO5+d8xt4+sKOiETpcGcfLu8x0A\nw8ShJ+8HZPLbG1VRQFEmzXZbW/t3tLS8CECI+rx+8EH/5PWHKsaMISai/cWECUBVHCnTk13skJ+9\nxBUFYp8+1PHyy8AlwTn20UeHZqbQDj0YLFAUhZKSu1Fbe1/EcGGW7UVHx4fIzQ13C3U4jtdU1Q1X\nosBiGQOGaZVSyiaDggJC+nBRhhnxhQqq4an24HvD93CuiX9xTBAECLz8kygaGh7D9On/RXHxHaAo\nwjrabJPg8cTRKWjgMFEwTBDJWCgW/P6mOORhPORVl4PfgQcCnaio+EXc2wsCG7d0jgyAUjNglO+J\n9kuWZXujrrrLK6by/WGYVlRXXxtxn/jqxUmdQ3b2Gejq0lZbyG0pmi8F6TU5Tu6AA4FOmEyFKof8\neHBYUaANQeDBsr0wmUaD41yDGpMs12HwiALZpFAuX2vSrlQUpOq5Fcmt/ftvx7p1JUmVET09omz4\nFA/pGr+ZYWjWg9S2kZUrteXO5eXE9yeWcfDBQOiqppaiAAchPaL4DvX7G8Aw7TG2jkwUcFwv9PpM\n6Tw5zjMAYWpqqFeYCVEQmh6R41wwGvNiDpgjtf9AgGQ76I+8/jCiY8KE+BQFyS52iM9SMooCmh76\nxtl9fYQYOPts8vfkycAuRUIi5YT6YCgKACAz82TodGlob39f8/uWlpeRmXmypoGdw3Gcpk/BcCUK\nKEoHm20y3O7tSZdhNALp6UBnZ+RtkvEoqF1aC8cJDkRJLgYA8Df6sf3c7fgp6yd8r/9e/jEkHiZJ\nTMNHqz7jebJQlwyGX4s4RLH87uV45aFXYPQZYYYZnIXDrEWzsGv9LnTUdMDMm2Gg5sA6qg23Pb0S\nJ55xYlzlrl07Cis/OAufPdcAxsdA0GitdthhxkSwRjfOvfVp3HrfX1N9egmBDPhY6ZowPgZ66GGB\nBUbKCEepAzc+caN0DQhREN/qNsd58MxDn+L9J/+mutbn334+brr7prjKUN+ruQgY3fjVHcvD9m9q\neho/fb0DLz3QDHedGybBBMEqIG9mHuo314PyAnphOiwju3DqlcvxxatfwF3ngpGfDthOwDk3n6NZ\nJ+V1Ee8nuYdm8BYep/1xEs65lBAFJlOhFOsafp1jhx6IL3QykR0ZnKQEYDCMSDiuUfQo0Ols4Hk/\neD4Q0cgrHnCcGzRtlkiR4QqW7YVOZwNNG6DXp4Nle2AwDG7clHifP3oxA2vfLYTeb4eRehLpxa+p\nnrVksfLzlXjwhgfhrnPDyI8Ca3bgzOtfxZ8ffAgez2489/hMfP78MWjaTzJx2GCDGfPBmlxYeP0n\n+P3tp0LLS8PrPYDa2vswceLzcdVDJKjeeKoTa96eAgNzDAyUAelF6Qmcp9JJX54Mrfx8Je6+qgxs\nWxZMMIO3XIeT/m8i/vroS5FLEjisX9WOpZf8Gt013TAIBmSWZuKKpVco+rdwRcHm1QLuueQU6d1g\npI3IKMlI+l6tXUsMgEORng6MH0/IgqOOir+8lZ+vxDN/fSbiOaUGpD189/lKPHzzP+Gq7YNJyArp\nO+V7NVhqOUFgUbHWgg+fqgTTvB9mfA3BKkTsz8X+i5gKK4kmBjRtwfOPrMY3/34b8BhgoFbAlHsP\n/vzcEym+lgRPLn0Brz86ARTTCDMsMFAW2Av/i1v/tUA6HiEKcsPUDaT9j5HaP2yn4ZybF4WdLVmW\nagAAIABJREFU86pVxGi6sDDl1T+MIOIlClb8/Xm8/ugEmJke8JgLD8g4ShxPRB4bhSsKxD5e7MND\nx5oGGGCBBQZMgX30Vtz6r/jHsf3B9u3n4z9vz8EHyz8D5QUMlDFmf79pEzBtGmAJWjRNnqz2fAhV\nFBxxxECfRTiIquBv2L//DuTknK/yReB5PxoaHsfEiS9o7mu3z4Df3wSGaYXRKMshhitRAJDsDG73\nNmRklCddRl6emvhZfvdyvPvou6C8FAyUAeYCL86/lce0afGV17u+F8YCIyh97IwR1ddUg7bQmL5y\nOrYetxUzvp+B2ntqkXV6VsLnkZGxAHV1D6KkRA41aGxcAYfjhITLAg4TBUMCy+9ejjfveROFKMTN\nuBkAUOGtwGtvvgYbbJiMybgKV5ExTwPwz4v/CbyKuDrZj17MwJpXmqEP/heKfORLxwQDPPrAo9Ab\nwie9gwme9+ODF8xY+/Kb0EOPdKSjEIXyNdivvgZEDhQfUfDOsyzWvLRZda3hBR79O8kvGuu8te4V\nGO39f/pmF565ZTcyenOxGIsBAB/1fYQtP2xBKUrJ+QCoaKjAa/e8hgIUSNuhD1h277KwMsXjK++n\n6h56gUcffQRudxfufwpRFQ/xhR6Q71i2O/jbCb3eAZ3OmhRRQNMmUBQFvT4dHNcHmk68ExTx4492\nFBcvQWnp0qTLGArgea+UXUKvz0Ig0HVQiIKPXszA1lenYpxQLLXN0GctGaz8fCXu/d29sPfY5fbt\nAZY9/CiWm5dj3BQ73rt/PPyuHlhhVbdnP2nPgvApTjwvfBWqu/sbtLT8OyGigJxnWT/OM9wgTzxH\nR89kue5u4NHlD2N5WuT+9Ofve/DhPTQyOw3ytdkCPH/V88DzYl3URMGab/fgnaWjoHMx8ruBT/Qc\nFGcjkNjoiRO1v1+wgEzu4iUKVn6+EiuuWgFbiy3KOfUfgsChYq0FHz/0GOzOdM2+84RzBz/04Psv\n1+G9+8cj01Ukt4UI/XnwTMj/BQYUJa/4CAKD954HNrzQglJefl+guf/PpBaW370c7z3wFRzIV79v\n69XH4zgXDIY8lfeNZvuPcM4ffHA428FAo7QUaG4mqf0s4X7EAOT7XYTx+AV+gffwHgCN8YTG2CbU\nzFC8/64eF6wIz5RkhVVuU0BYmxpIPP/wt6h4rUP9DMXoKzduJB4aIsaOBerqiA+a0UhUQ+Iix8EI\nPRCRlbUQBw78DR0dnyAnR5bo1NbeC7t9KjIytA2AiU/BMejp+QG5ub+SPh/eRMFUuFz98ykQiYKp\nU8nz8fHSj9Xtph54YskDKBsTH8lVe38tJr40Eftu3qcUG2rCudqJ+XXzobeT6582Iw0T/j0Bm4/a\njJG/H5nQeYwbtwKVlWehufk5cJwL69ePh06XhqlTk0u/fUiEHtx0UyJ5Y4cevnjyC1hhlTtnABux\nEXbYMRqj5UYaxB+7/4iPV3wcV9kVH5XBBjtsEf5THhMAbhFuwZdPftn/k4pVr4pTUFmpbXnM8z5U\nfFgCK6ywwRbzGggCGzS1ii3H3fpBPqywJ33eWvcq0v7fvdQMutei2rYCFShCkep8xHsdWubN3M1h\nZYrHj34Pb8X6N8m/oxEFoqQ0PqKgK/i7G3p9ZjB2NVGnZL8kfUpV+EG09I/DBcpBh8GQJZEyg12H\nio/KMFoo6Vd/o4WPnvgIQo8Q3r558sx88fRq6F2ZUdvz9y/s12ynOl16QnVh2Z4UnKdSUcBGPcdb\n+Nui9iur32CR1VkaVperWq5S9G/q0INvX6yH3uXo97tBRFsbyXBgi+DveMklwN//Djz3XHzlffTE\nR7C32KOeUyogCBw2flAEwUlF6TsHnyj4/OmfoHdlxtWfA5Ed5HmewaZ3MzCaL0r5MymitpYQRYD4\nbon9vtUKPfjw8fe1n/GQc+Z54KOPDvsTDDT0ekIW7N0beRvxft+Mm7ERG6GHPu4xYWjYj9j/RRpn\npqqvSgYVH5WhMMFnKJQoMBhIDHs9yQw9JEIPAKIqKC1dir17b0J39yq43TtRXX0dWlpewrhx/1Qp\nlEKRmXkSOjrU5z+ciQK7nSgK+gORKADI81HIF4a1mxv67oir3XZ+3om0OWkwZAZVszFCDyg9JSkP\n9Jl6MG0MdDYdmMbEw81MppGYPXsjpkx5F5MmvYGJE1/B7NkbNMNQ4sHwbBEh4HngtNNIFoSLLwYu\numh4ydoMrAF0CGejgw4mmKCL4IiMOEPKTJwVQGJxKXp24JtFd/c3oGlCdXOcDz/+aMHxx4vu1X6Y\nOAvEese6BnIMpxd6vT3iMQVBUJUbinjOW+teRdqf8tMwhRxL656K9zqeMqMdXwkjS8qLrigQJx+x\nQw9ErwWW7YFe7wBNW+JWcSiPJxIFiRgabto0H7m5F8BqnQS7fRpMplHSd9FehMMFghAARRkByIqC\nwa8DCxNn7Xd/owXKT0Vt31rPSSgMrHZcq15PnL9CZduRwLLOfp+n6FGgNH+NdY6RQDPGuPo3kumA\nnCPt16fk3SCithYoKor8/ezZJD3YE08AV18duzzKTw1IOwqFIHDQBcwxrntg0NMj0lHas3ZbEOPE\n/QBkJztBCMA4QM8kAPz0E1GLvPgicNll8rsl1vE4rg8GwwiIGScoigLlE+I658pKEs4yblz/6n4Y\nsVFWBhw4QFZHtaAcS0QbgwAA7WfBsn2K/lYdehCt/xPL18RAeHOHIJn+fsMG4K671J+VlpLrOWbM\nwTczVCI7eyHKyu7D3r03gGV7kZt7AWbP3qgKKdBCfv5lqKt7ANXVf4TNNhUFBVcGxyLDc1ooZj6I\ndyygBSVRYGANUdvNqlWrsGrVqohluSpc6FnVg21rtsFV6YKnyoPJb0+GucisuX3a3DR0fdmFnHNz\nkHVqFnb+eidoC420OYm7m/K8H7W196K19U0wTBOMxpHIzf0NiouXQKfTPn40DM8WEYInngCWLQO+\n+gp47TXg3ntJPuiLLwbOP5+slgxlBPQBBBCSjxsc/PCDizSJi/Ne+3UeAInFgbP6wVl5EVPvhfoL\n8LxPVe9Y10A21vEAiEYUMFGvRzznrXWvIu3PGf3whxgFat1T8V7HU2a04yvB6El58RAFiYQeBAJE\nUZBs6IEorU1EUdDXtx6BQBt8vgMoLb0PxcWLEzruUAfPM1KqJYMhU1JvDCYEgYVf5+l3f6NZtkmI\n2r4FEx/xexGM3qciCniegctVIV03nvfElfKQ43pTcJ7hioJY5xixPsZ4+nh59U6nM4M3+uEHk7J7\nVVsLFBdH3+Y3vwGuvx5obycp7b75BnA4gLlzw7cVTMKAtKNwcOAMvhjXPZrx5MCAM7IJtYVIDvI8\nzyCgowfsWn76KTB/PnF3v+wy+d0S63jkWbMC0AWNc/VRn2HlOf/8MxmbHcbAQ5zYRoJyLBFtDAIA\nfl0vDhxYgnHjHg9+olYUROv/xPI1kdL+QBuJ9vdeL9DYSLxZlFBeT5EoEATSJ+bkpLbOiSIv7yLk\n5V2U0D4GgwOzZq1Fe/sHaG9/F+3t7wXHIsNzWmg05oCmzfD7G2A2j469gwby84GWoPVKQB+9Lzz+\n+ONx/PHHSx/dc889qk2KFxejeDF5sVZdXoWCqwsikgQAMOm1SZKv+NjHxqL+0XpwLg6FNyW+6l1d\n/Qd4PNUYN24FzOYi+Hx1qK29DwzTiIkTX0y4vEMi9AAgUqszzwTeeosYM7W1AZdfThiiq64iD/5Q\nxcLrFsIDD5ZhmfTZHMyBCy7Uox7PQx1/+2Tmkzjn+nPiKnv6ov1wwwV3hP+UxwSAR6hHcPp1p/f/\npOKAuLospneR82H7MX3RfnjggRvumNdAHADGWuHmOG+wXFfS5611ryLtv+BCA/g09bbTMR11qFOd\nD7nXfWFlPqp7NKxM8fjR7+HDmP9bskLdX48CgINOl6apKEjWowBA0LQv/hSJonFWf3PlDkUoQw/0\nesdByQghCCymL9qPeqqmX/2NFhbdsAiUgwpv3zR5ZhZeUw7W3h21PR/1u2xVO21qehabN89VKF7i\nC9fgOHcKzjO4sk/LZoZnX3cWWHu3xjk+HLVfOfo3LDqz9obV5bn85xT9m9g/koH4sb9LB2vv7ve7\nQURlJTHrigajETj+eOCll4DrrgP+8Afg9NOB9evDt110wyK48l1RzykVEAQOc86rAzK4iH2nUv0x\nWETBab+fod0WNPpzQM4CEhp6IAgM5l1Io56qS/kzCRDDtuuvJzLrQEB8t8R+35LJhEml0jjz2pPi\nOucNG4Ajj+xXtQ8jTsQiCsT7vQzLMAdzwIKN0P/+A6f94RS0tb2pILXU5JbYx0caZ0ZqU2ddexIi\npfdLBQSBC/b3tXE/Q7W1wOjRgC5kMVlNFARAUQZ0dwNWK2BKzkz+oMNiKUNR0a2YPv1rmM2jgz4p\nw5MoAGRVQbJQKgoWXrcQDXRDWLtZbl+Ks687O6FyJ744ERlHZUTdxuAwwJBFxoE6qw4lfy3BmIfG\nwFSQeOPq6PgIU6d+iuzs02GzTUF29umYOvUTdHR8lHBZwCGiKAAApxN4912iKNi2jSgJnnqKrJQ8\n+igJTagconMM0STm1YdexV98f4EZJvAWAUctOgpV66uws2YnFvOLYaD1MOd348/PPh63Acyiy51I\nz8jHZ881gvGFx7rsx378BX+BCSawJi/OuvHYQTMyFBUF4mCDsLQG8LwPiy53oqjofLz+yNvo8HXA\nCSfuwB0wUkZklmXihsdvUGU9AMKVCaHgeS8WXe5EVtZ4fPx0VfBak0wB591+XlznrXWvAiYPzrn5\ntLD95xxrAfWQHm884seddXdKWQ8KZhagZnMNlnjvhB46mPK6cPRJDdi60ofFzbfDJJgBG63pGK08\nvt9HJg7KeyhYBJx8TTF+9fsC6Rr3T1HAwmDIUZgZdsJgyAqGHiTvUZBI6AGpqxcmUyFcrq0JHfNg\nQsxmECsrgzL0gKZtCefpTQUEgcWiy52g6L3Y8J6AJZ7FMFAGZJSon7VkcOIZJwKvAQ/d8BDurLsT\nRl4HzuzDadfOwU133wSncx1+ubga768oQFezRdWeeXMAx1+ZhktvPAINDXKcrDgYEEkVosKIzbxz\nnAuLLncCqMS6d7txp/8vMFJmZJQ4EjhP5eST9F3Hn16OHYur8f4KFxa3kWeYM7tx7GVZUfuV2QtM\ncN+6CWveLcTSvX+GWZeFrLIRuPLvV6qyHlCUARznhk6XjiOPy0BX8HrtbHFisbAYRtoAR2ly92rz\nZuCKK2Jvd9llwNKlxFF90ybg7beBf/wDeD8kO9eJZ5wIPA88+9dngueUiayyHNU5pQKCwGF6uRdl\nz/4aT97xCRbX/gUmwQjYdFKGga1bP0XovRpoHHPyZNQsrsb7K/qwuC28TuHgoNOFpyHkeQYXXz8W\nen0Pvn1xP+70/AUG6GHK78Gfn+1/1oMdO0joQUkJUFFB3i1+XzPeeuxTOBknFuMOGCgDbIUMbv3X\n/dLxZFNamXw57vR5qJLOWXyHUTjn5nNV57xhQ3xt7TD6j9JS4PsomdVuuvsm+P3NeGvZp3iTaQUP\nAR54pP6XZD1gMe/CFtz+wBdYv/5deDxVsNmmhHkUKPv4xv3hq3IeeBRjOD2so/y4+ck7oU8/G21t\nryW8Gh4veN6PRZc7YTR24YfX4+vva2vJMxGK0lKS1hOQFQWNjcCoUeHbDjdQlA7jxz+H7OyzJZXe\ncITNNg0u1zZkZy9Man8lUSD2W+89+h6WeJeQrAf5Lpx27Q6csPCYVFVZAufjUPv3WrS91YZARwAL\neheg6+sueKo9KLwuMVWB0VgQnA9lSp/xvBdGY2KmiCIOCaLgl78kYQcLFgDXXAOcc47a6XXZMhIX\nN5Rx09034aa7bwLDtGHt2tE47jj1oKG5+d9wOlejtfU1LFhwdEJl/+pqHRZdZsWsWZs1v/d49mLb\nttNgNOZgzJjBsyMWZehKogAwSAOmG+66BjcvvT1mOfEqCkQi4YpbyvG3x17X3Ka9/X1kZZ0WVcYs\n3qve3o2orr4GFEVh3LhwY0aO8+LI47IxYeZ6HHnkdlCUTlo55vkAmpv/jc7OT9DV9SMA4KLriuF2\nbwAAzJ9fA7NZWw9809034fq/XgOaNqpS4ohobHwaLhdx9yTyaC442VBPWMnE3QwgMqMvCByMxlwE\nAiQfuN/fDKNxZL8VBcmYGaanl6Oj4xPwPAuaHtpdlyBw+OmnDBQX34XS0rujbqsMPSAhHYl5P6QC\n4jP0q6tpPPbiT9i37zYYDLkoKrotrv37+jbDYMgO3lMKdrs6MPbEM06UBmWrV+fCYhmDoqJTg8cO\nYHq5F9PL96Ow8E8YO3YZeN6PH39Mx/jxT8HpXA2e96oILZerAoBMGGj5OjBMO3p712HECPnZFEmY\nRZc7g4QBMHv2JqSlzYrrPEl9NUIPBD+ml3sx46haCMI+GI35YJgWFBRcFaMsMtm98vq/YuPG6Zgw\n4XkUFFwJv78RHOcLxhNyoGkr1q4dhTFjHpWONb18P4qL/4aOjo9RVvYAsrMTV4K5XESB98wzsbc9\n91y1Cd2vfw3cdhvgdocbIZ54xolYcMpMrF6dhbKyh1BUFLsfTxRiezjm5Ck464I/YseOX6O9/R0c\ndxyviFEVM1QMXuiBsj1bLDr4/U049lg593Zb2zvYt+8WTJ++ElbrOJDc8hZNRQFNW3HZTYVY8siN\nWLMmX/ru+OP7RxKwLMkXXlAAHH00sHo1MW/7w+Jf4YTzPoPPVwW7fRYcjqPhcm3DtGny8UTCVxnO\noTxnYD+A8OfK6yUp+2bM6FfVDyNOxFIUAMC1i3+DE879HF7vFhx3XPhCUnv7+2hpeRUAkJ4+H729\n64JEgbg4I+8j9vE8z+CHH0ywWidh7lySU3DTpnmwWMahre11ZGaeBMCG4uJMbN0K+Hy1qTlhDYhE\nxi+v5rHwol0AgJkzf0JGRuQxdE2NdiiWVujBoUIUAABN65GTM7xdRu32qejq+jrp/ZVEASCP9UVs\n2XIsnE4vOM4ljWVThX1/2gd/ox+TXp+EbacTU0bbFBv23rQ3YaIgL+9ibNt2OkaNug4m02j4/XVo\nbHwK+fmXoLt7pbRdZmZ875FDIvRg7lzi7vrllySWUiQJlgUVVDStvvlDAYIgYNUqKkx2FQh0aa58\nEHmiDnp9ZtwyWxEc54yxesuDouhBHUwB2ooCQLnSHV9dZHY7+sRVXAGXj8PC72+Svne7q7Bjxy81\nU6ysWkWhry+UaCHXjdyT8IkKz3vB8374fPuwefM8bN0q5zDdsuVo7NnzB1Vno7xHsXJ+r1tXgt27\nIzmLyaQAkUibVa7p8jF8oGlrTI8Ck6kYfj9ZJSDGKAWgaRMEIRAjbCH0eLJHAUmPGL+iAABMplEw\nmQrg89UktN/BgBhW4XZvj7mtMvSApq0Jm0SmAuIzIT6TiUi1+/o2YfPmo7Bx42xs3Dg9SrsUj8WD\nooxSG1f3dzQEQQi2NypIKPUGrwkHQRAgCAK83t1IT58vtQW/vz7sOPX1j2D7drVEkONcYdslLn3l\nEbpKLYfxiGECYp8U/TmWPUB6pO1Ztg9r1xZi//4/S2WKxKXLtU31LNO0BYFAR1h8uyAIcSlT3nkH\nOPbY5Aa7DgfJNb5mjfb3cr8eAM8zqKv7R+IHiYCmpueley8Sy2L/r25Pgx96oDy+398g3RtB4LF7\n9++xb98tsNmmobn5ueDnXJAoCFcUEKUBm7B6KxZaWojXhF4PnHiivFIK8EGy0h+lXkpFgfrdLYKm\nrfB4qsEw7dJnW7eSFJzmQYhLPwzZzFCI4rZO7rFJWkwIhde7FxbLWACEKHA610r7kd/h4wq/vxE0\nbQbDtEmfBQKdsNmmAAAoyghBCEhjL58vBpvRD4htVxnmKJIbTuc61aRJRDRFwaFMFBwKsNn6l/kg\nlCgIhWycHj6O6C/aP2zHpDcmIaM8QyK6TaNM8DdG92/SQlPT02DZXtTVPYA9e65FXd2DYFknmpqe\nxu7dV0o/8eKQIAqWLiUmFFqfi4iU+ulgQe5oxRctj6amZ4ISWkGj0+YB0MH0aYmZnfG8T3OiKNeF\nlD2Y8kxA9igQO+7wQXd8k9D4Qw/I9y7XFuzefQ3q6u7H2rVyL9/ZGT3libhKLx+XXDe9XjulHSEK\nyGDd7d6m6sD6+ohyQJk3W/kyCx34h4Jle9DS8oLmNQpVD0QKPyDmaLaYoQcWS6k0EWOYZphMI4ME\nRGLhB2pFQUZCHgUAoNdnw2IZD693d0L7HQyI7cHrrY65LVEUkNADnc4mtZnBhEwUEJY1kYlVa+tr\nKC5egpkzfwSgQ0ZGedg2ItFEwAcHp/JqpFwPBgcOLMH69WNAUTR0ujRwXK+CBOQRCHQCAEym0dIL\n2+MJbxOi2kZJBGhd28T7PCGMWJX7VzVREKnsjg7gwQfl6y4SBYIQQF/fRuj1DimeUBC4oHmceA5y\n30DTZgQC7WGEREfHB9i588KYZ/Lll8CiRTE3i4jjjossb5b78wB6e9dJxEcqUF19NZqbnwmWzwR/\nkz7O5dqC1ta3IAg81B4Fg/NuU94LooQJQBAEOJ2r4XT+iCOP3IXi4jvR3f2NuBVo2qJB9jDBzzkw\nTGpNlpqagJFBFerZZ5NJ/I4dYrvVBYk8b/D44UQB8SgwaD7DAGAwjEBNzd/Q1vam9FksfwKeZyFE\nm9UeRkLIyCDeIh0d0bbig0pH7TGC398sZRkSFQUE2ik9AfLuM5vLwHFO6X6yrEwU0DTJYMMwzbBa\nJ8LrHTiiQGy7ykUJsa1u2VKO7dvDO79IioL8fKC3lyioRI+ChobDRMFQgtU6CV7vXs12GQ9yc4k5\nJc8DbvcueDzq/KIyUZD6MRptoiGw6v6PaWdgGJF4KEh5eQ3Ky2swf/4B6Sf07/nz43/uhjVRsHIl\n8O23AMeRfyt/nntuaIcbhEq3/P4mVFdfIw2C5dU2Hu3tHwVX4SJPSrXA86Ik3xVj4inLM2OtgKUS\nqVMUxBt6QCYbXm813O6KMIVAT88PqvqEwu9vDi0RFBWZvOF5L1i2T/rbYMiW/i27/8tZGjiuT7Fv\n9I5OlAw1NT0rfVZX9xD6+rZKgz0R0YgCmrYienpEDiZTEfz+RggCD7+fKApIuYmFH6g9ChIPPTAY\nsmG3T1Pdt6E6sGTZHlgs4+D17olZR3HQAZDQg+GmKOjtXQeHYwFstkkYM+bhsPPlOC/Wri2U+iNR\nUaCcSIpgmDY0Nj4p1YkoT/oUq8UsPJ5dsFgmBIkqFyhKr0nIiH2pkqTQVhQk1ucpQw/EuocSsZGI\nAqeTxPaffjohCrq71VlFBCEAt3sHcnIuAMt2BZVKfPA5BQiJLB+LpKhjwvr3zs4vVP2J9nkAq1YB\nJ52UwMmHoLxc29AQUL7DAvB4YhNmyUK89mIfV1l5JvbuvQFNTc8AGhkqBhpaxxEEFp2dnyIn5wLo\n9XbY7dPh8VQFFTKcpuqL5xnQtBnt7e9gy5bUxsQ2NckTHLOZhJDcf79MMut0lqC8NlxRQAgMo6qP\nCD1ng2EEfL461XssGlEgCDy2bl2Arq4vtTcYpuB5BjU1S5OaWLjdVQkrSXbsuEA1uYkVfiAudkQa\nIwQC7TAYiKW/zTYVXu9ecJxPoZgKX4Bi2W4YjXnB/tEDniepFa3WCQDI2IcQBU1IS5sDhmkKKyNV\nEOun7PcFISDdj6ys8HCtSIoCmiYEQk3NYUXBUIVOZ4bFMj5sUS8WOM4DjnPDaATS0oCuLqCl5UW0\ntr4Ml6tSeqZIP0cNiKIg51c5qLqsCt795Jn3N/ux57o9yP1NbsqPlSiGNVFwxRUko4HfD1x5pfxz\n1VXACy8AK1Yc7BpGhlKWCRCJIgAEAm2qzwOBDuzadRFERUEkmbsWxI6fZZ2qF7bHsyeEEBAVBYMd\neqDlUaBUFCRGFMRSFIgTsECgGzzvC5Mr9/VthMUyNuLEQXTeB8hLnLws6YjhIBznVQ3W9XqZKNDp\nyMqtMvRAvbIaa/IiYPTo29DY+E/pk56e7+F2VySgKPBBp4seekCMtuzQ6zPg9zfB5zsgeSfQtCmq\nUiX8eMmbGZJ90pGeXo7e3rUJ7XcwwLI9MJlGgaJM0mpxJKhDDw6emSE5vkgUxNcX8DwLl6sCdvts\nxX6BkG1IGwkERE0fL60qkWPL23u9u2E2l0Cny4AgBKDTpYFlexVEAQeXawvS0maCps3gOBfS0uah\np+c7iRgQIYcl1EmfiYaAWuceP8JXqZXPQVnZw1JfpH6micnuv/4FXHQRcOutgM9H5N2yooCFx7MT\nNtsU2GxT4XJtCyoKbNKxlcdimObg8RnFcQR0d38dsw85cIBMEvsz0J07l0wAeY3oDWW/7vXu0dz/\n6KNJOuP+QCRJxD4uEOjA5Mlvo6npacgk+MEJPVB+5nJVID2d5JPU6WzQ6dLAMK0gcn9LkNDnFfsQ\nRYE4NlCX1z+CtLFRVhQAwKWXAp99Bvj9fJAosIPj+qDTxRd6ELrAoNdnQhD8KgIrWmrEtra30Nu7\nLmZfOdzAMC2oqfkbtm79BRgm6tJ+GHbtuhA9PasS2sflqkB393+lv2P7FHBRFQWBQBuMRjJRoWkD\nzOYS+Hz7FERo+IJGINAFvT4Ten0GWNYpZUrS6TKC5ZC+3+9vhsUyfkAmXSLktisoPmOkRSGlUktE\nJEUBQK5nKFFQmHj2usMYQGRmnoju7m8T2mf79nPw888k9U9+Pgk/4HkGDNOOlpYX0N7+dnBLDjpd\n+oC02bL7ymAptWDDtA1gnSzWj10PY4ERJX8rSbis7u6V8HqJV4zf34xduy5BVdXl8PtbYuypjWFN\nFNTUkE7wwgvJb/Fn/35i0HR2YhksBhXyC1ZUFNQGfzeHfU9YWZ+0eh06II4ENVFAOkyvtwY//zwe\nzc1yyg9RrTD4oQfmYD1DQw/kmNPQuFYysFIjUUUBy4pEgTwA8/tbIAgszObSKESBrChAkkS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P6IkSP/gPLyekya9BKysxdGfKeRczChpGQJZsz4Ht3d32L9+lLs3n01urr+A7e7KiEVnVItJiI/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\nSUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7f416152d588>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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vRg/oKCiUUEJ5STnjjxjPZf99GYs+tchuM1Oy4qUV/O9V/8uBHQco1UrxuXxU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\n/yOiPQWrVIVLAAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7f41614e63c8>"
       ]
      }
     ],
     "prompt_number": 34
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print(wltc_cycle.columns)\n",
      "\n",
      "df = pd.concat((wltc_cycle[columns_visible], nedc_cycle[columns_visible]), axis=1)\n",
      "df.columns = pd.MultiIndex.from_product((('WLTC', 'NEDC'), columns_visible), names=('Cycle', 'quantity'))\n",
      "display(df, df.describe())\n",
      "\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Index(['v_class', 'v_target', 'clutch', 'gears_orig', 'gears', 'v_real', 'p_available', 'p_required', 'rpm', 'rpm_norm', 'driveability'], dtype='object')\n"
       ]
      },
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr>\n",
        "      <th>Cycle</th>\n",
        "      <th colspan=\"3\" halign=\"left\">WLTC</th>\n",
        "      <th colspan=\"3\" halign=\"left\">NEDC</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>quantity</th>\n",
        "      <th>v_target</th>\n",
        "      <th>gears</th>\n",
        "      <th>rpm</th>\n",
        "      <th>v_target</th>\n",
        "      <th>gears</th>\n",
        "      <th>rpm</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>t</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0   </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1   </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2   </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3   </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4   </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5   </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6   </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7   </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8   </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9   </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10  </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>11  </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   3.750000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  432.187500</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>12  </th>\n",
        "      <td>   0.2</td>\n",
        "      <td> 1</td>\n",
        "      <td>   23.050</td>\n",
        "      <td>   7.500000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  864.375000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>13  </th>\n",
        "      <td>   1.7</td>\n",
        "      <td> 1</td>\n",
        "      <td>  195.925</td>\n",
        "      <td>  11.250000</td>\n",
        "      <td>  1</td>\n",
        "      <td> 1296.562500</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>14  </th>\n",
        "      <td>   5.4</td>\n",
        "      <td> 1</td>\n",
        "      <td>  622.350</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>15  </th>\n",
        "      <td>   9.9</td>\n",
        "      <td> 2</td>\n",
        "      <td>  761.508</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>16  </th>\n",
        "      <td>  13.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1007.652</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>17  </th>\n",
        "      <td>  16.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1299.948</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>18  </th>\n",
        "      <td>  21.7</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1669.164</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>19  </th>\n",
        "      <td>  26.0</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1344.200</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>20  </th>\n",
        "      <td>  27.5</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1421.750</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>21  </th>\n",
        "      <td>  28.1</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1452.770</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>22  </th>\n",
        "      <td>  28.3</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1463.110</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>23  </th>\n",
        "      <td>  28.8</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1488.960</td>\n",
        "      <td>  12.500000</td>\n",
        "      <td>  2</td>\n",
        "      <td>  961.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24  </th>\n",
        "      <td>  29.1</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1504.470</td>\n",
        "      <td>  10.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td>  769.200000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>25  </th>\n",
        "      <td>  30.8</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1592.360</td>\n",
        "      <td>   6.666670</td>\n",
        "      <td>  0</td>\n",
        "      <td>  109.266719</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>26  </th>\n",
        "      <td>  31.9</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1649.230</td>\n",
        "      <td>   3.333000</td>\n",
        "      <td>  0</td>\n",
        "      <td>   54.627869</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>27  </th>\n",
        "      <td>  34.1</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1396.736</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>28  </th>\n",
        "      <td>  36.6</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1499.136</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>29  </th>\n",
        "      <td>  39.1</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1601.536</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>30  </th>\n",
        "      <td>  41.3</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1691.648</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>31  </th>\n",
        "      <td>  42.5</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1341.725</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>32  </th>\n",
        "      <td>  43.3</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1366.981</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>33  </th>\n",
        "      <td>  43.9</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1385.923</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>34  </th>\n",
        "      <td>  44.4</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1401.708</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>35  </th>\n",
        "      <td>  44.5</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1404.865</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>36  </th>\n",
        "      <td>  44.2</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1395.394</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>37  </th>\n",
        "      <td>  42.7</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1348.039</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>38  </th>\n",
        "      <td>  39.9</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1634.304</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>39  </th>\n",
        "      <td>  37.0</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1515.520</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>40  </th>\n",
        "      <td>  34.6</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1417.216</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>41  </th>\n",
        "      <td>  32.3</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1323.008</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>42  </th>\n",
        "      <td>  29.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 2230.680</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>43  </th>\n",
        "      <td>  25.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1930.692</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>44  </th>\n",
        "      <td>  22.2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1707.624</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>45  </th>\n",
        "      <td>  20.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1607.628</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>46  </th>\n",
        "      <td>  20.4</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1569.168</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>47  </th>\n",
        "      <td>  19.5</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1499.940</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>48  </th>\n",
        "      <td>  18.4</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1415.328</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>49  </th>\n",
        "      <td>  17.8</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1369.176</td>\n",
        "      <td>   3.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  345.750000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50  </th>\n",
        "      <td>  17.8</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1369.176</td>\n",
        "      <td>   6.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  691.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>51  </th>\n",
        "      <td>  17.4</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1338.408</td>\n",
        "      <td>   9.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td> 1037.250000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>52  </th>\n",
        "      <td>  15.7</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1207.644</td>\n",
        "      <td>  12.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td>  923.040000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>53  </th>\n",
        "      <td>  13.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1007.652</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>54  </th>\n",
        "      <td>  12.1</td>\n",
        "      <td> 2</td>\n",
        "      <td>  930.732</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>55  </th>\n",
        "      <td>  12.0</td>\n",
        "      <td> 2</td>\n",
        "      <td>  923.040</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>56  </th>\n",
        "      <td>  12.0</td>\n",
        "      <td> 2</td>\n",
        "      <td>  923.040</td>\n",
        "      <td>  18.400000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1415.327971</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>57  </th>\n",
        "      <td>  12.0</td>\n",
        "      <td> 2</td>\n",
        "      <td>  923.040</td>\n",
        "      <td>  21.799999</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1676.855942</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>58  </th>\n",
        "      <td>  12.3</td>\n",
        "      <td> 2</td>\n",
        "      <td>  946.116</td>\n",
        "      <td>  25.200001</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1938.384058</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>59  </th>\n",
        "      <td>  12.6</td>\n",
        "      <td> 2</td>\n",
        "      <td>  969.192</td>\n",
        "      <td>  28.600000</td>\n",
        "      <td>  3</td>\n",
        "      <td> 1478.620020</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>60  </th>\n",
        "      <td>  14.7</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1130.724</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  3</td>\n",
        "      <td> 1654.400000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>61  </th>\n",
        "      <td>  15.3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1176.876</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  3</td>\n",
        "      <td> 1654.400000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>62  </th>\n",
        "      <td>  15.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1223.028</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>63  </th>\n",
        "      <td>  16.2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1246.104</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>64  </th>\n",
        "      <td>  17.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1315.332</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>65  </th>\n",
        "      <td>  17.8</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1369.176</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>66  </th>\n",
        "      <td>  18.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1392.252</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>67  </th>\n",
        "      <td>  18.4</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1415.328</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>68  </th>\n",
        "      <td>  20.3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1561.476</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>69  </th>\n",
        "      <td>  23.2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1784.544</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>70  </th>\n",
        "      <td>  26.5</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1370.050</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>71  </th>\n",
        "      <td>  29.8</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1540.660</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>72  </th>\n",
        "      <td>  32.6</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1685.420</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>73  </th>\n",
        "      <td>  34.4</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1409.024</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>74  </th>\n",
        "      <td>  35.5</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1454.080</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>75  </th>\n",
        "      <td>  36.4</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1490.944</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>76  </th>\n",
        "      <td>  37.4</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1531.904</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>77  </th>\n",
        "      <td>  38.5</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1576.960</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>78  </th>\n",
        "      <td>  39.3</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1609.728</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>79  </th>\n",
        "      <td>  39.5</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1617.920</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>80  </th>\n",
        "      <td>  39.0</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1597.440</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>81  </th>\n",
        "      <td>  38.5</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1576.960</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>82  </th>\n",
        "      <td>  37.3</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1527.808</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>83  </th>\n",
        "      <td>  37.0</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1515.520</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>84  </th>\n",
        "      <td>  36.7</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1503.232</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>85  </th>\n",
        "      <td>  35.9</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1470.464</td>\n",
        "      <td>  29.250000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 2249.910000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>86  </th>\n",
        "      <td>  35.3</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1445.888</td>\n",
        "      <td>  26.500000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 2038.380000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>87  </th>\n",
        "      <td>  34.6</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1417.216</td>\n",
        "      <td>  23.750000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1826.850000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>88  </th>\n",
        "      <td>  34.2</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1400.832</td>\n",
        "      <td>  21.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1615.320000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>89  </th>\n",
        "      <td>  31.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 2453.748</td>\n",
        "      <td>  18.250000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1403.790000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>90  </th>\n",
        "      <td>  27.3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 2099.916</td>\n",
        "      <td>  15.500000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1192.260000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>91  </th>\n",
        "      <td>  22.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1692.240</td>\n",
        "      <td>  12.750000</td>\n",
        "      <td>  2</td>\n",
        "      <td>  980.730000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>92  </th>\n",
        "      <td>  17.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1307.640</td>\n",
        "      <td>  10.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td>  769.200000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>93  </th>\n",
        "      <td>  14.2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1092.264</td>\n",
        "      <td>   6.666667</td>\n",
        "      <td>  0</td>\n",
        "      <td>  109.266672</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>94  </th>\n",
        "      <td>  12.0</td>\n",
        "      <td> 2</td>\n",
        "      <td>  923.040</td>\n",
        "      <td>   3.333333</td>\n",
        "      <td>  0</td>\n",
        "      <td>   54.633332</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>95  </th>\n",
        "      <td>   9.1</td>\n",
        "      <td> 0</td>\n",
        "      <td>  149.149</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>96  </th>\n",
        "      <td>   5.8</td>\n",
        "      <td> 0</td>\n",
        "      <td>   95.062</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>97  </th>\n",
        "      <td>   3.6</td>\n",
        "      <td> 0</td>\n",
        "      <td>   59.004</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>98  </th>\n",
        "      <td>   2.2</td>\n",
        "      <td> 0</td>\n",
        "      <td>   36.058</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>99  </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>100 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>101 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>102 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>103 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>104 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>105 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>106 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>107 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>108 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>109 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>110 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>111 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>112 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>113 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>114 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>115 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>116 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>117 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   3.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  345.750000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>118 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   6.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  691.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>119 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   9.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td> 1037.250000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>120 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  12.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td>  923.040000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>121 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>122 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>123 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>124 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  17.222200</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1324.731654</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>125 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  19.444401</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1495.663309</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>126 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  21.666599</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1666.594816</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>127 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  23.888800</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1837.526471</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>128 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  26.111000</td>\n",
        "      <td>  3</td>\n",
        "      <td> 1349.938703</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>129 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  28.333200</td>\n",
        "      <td>  3</td>\n",
        "      <td> 1464.826463</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>130 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  30.555401</td>\n",
        "      <td>  3</td>\n",
        "      <td> 1579.714224</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>131 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  32.777599</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1342.570469</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>132 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>133 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>134 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>135 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  36.875000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1510.400000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>136 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  38.750000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1587.200000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>137 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  40.625000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1664.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>138 </th>\n",
        "      <td>   0.2</td>\n",
        "      <td> 1</td>\n",
        "      <td>   23.050</td>\n",
        "      <td>  42.500000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1341.725000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>139 </th>\n",
        "      <td>   1.9</td>\n",
        "      <td> 1</td>\n",
        "      <td>  218.975</td>\n",
        "      <td>  44.375000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1400.918750</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>140 </th>\n",
        "      <td>   6.1</td>\n",
        "      <td> 1</td>\n",
        "      <td>  703.025</td>\n",
        "      <td>  46.250000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1460.112500</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>141 </th>\n",
        "      <td>  11.7</td>\n",
        "      <td> 2</td>\n",
        "      <td>  899.964</td>\n",
        "      <td>  48.125000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1519.306250</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>142 </th>\n",
        "      <td>  16.4</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1261.488</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>143 </th>\n",
        "      <td>  18.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1453.788</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>144 </th>\n",
        "      <td>  19.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1530.708</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>145 </th>\n",
        "      <td>  20.8</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1599.936</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>146 </th>\n",
        "      <td>  22.8</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1753.776</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>147 </th>\n",
        "      <td>  25.4</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1313.180</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>148 </th>\n",
        "      <td>  27.7</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1432.090</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>149 </th>\n",
        "      <td>  29.2</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1509.640</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>150 </th>\n",
        "      <td>  29.8</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1540.660</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>151 </th>\n",
        "      <td>  29.4</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1519.980</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>152 </th>\n",
        "      <td>  27.2</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1406.240</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>153 </th>\n",
        "      <td>  22.6</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1738.392</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>154 </th>\n",
        "      <td>  17.3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1330.716</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>155 </th>\n",
        "      <td>  13.3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1023.036</td>\n",
        "      <td>  48.125000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1519.306250</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>156 </th>\n",
        "      <td>  12.0</td>\n",
        "      <td> 2</td>\n",
        "      <td>  923.040</td>\n",
        "      <td>  46.250000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1460.112500</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>157 </th>\n",
        "      <td>  12.6</td>\n",
        "      <td> 2</td>\n",
        "      <td>  969.192</td>\n",
        "      <td>  44.375000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1400.918750</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>158 </th>\n",
        "      <td>  14.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1084.572</td>\n",
        "      <td>  42.500000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1341.725000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>159 </th>\n",
        "      <td>  17.2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1323.024</td>\n",
        "      <td>  40.625000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1664.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>160 </th>\n",
        "      <td>  20.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1546.092</td>\n",
        "      <td>  38.750000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1587.200000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>161 </th>\n",
        "      <td>  23.4</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1799.928</td>\n",
        "      <td>  36.875000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1510.400000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>162 </th>\n",
        "      <td>  25.5</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1318.350</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>163 </th>\n",
        "      <td>  27.6</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1426.920</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>164 </th>\n",
        "      <td>  29.5</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1525.150</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>165 </th>\n",
        "      <td>  31.1</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1607.870</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>166 </th>\n",
        "      <td>  32.1</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1314.816</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>167 </th>\n",
        "      <td>  33.2</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1359.872</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>168 </th>\n",
        "      <td>  35.2</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1441.792</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>169 </th>\n",
        "      <td>  37.2</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1523.712</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>170 </th>\n",
        "      <td>  38.0</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1556.480</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>171 </th>\n",
        "      <td>  37.4</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1531.904</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>172 </th>\n",
        "      <td>  35.1</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1437.696</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>173 </th>\n",
        "      <td>  31.0</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1602.700</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>174 </th>\n",
        "      <td>  27.1</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1401.070</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>175 </th>\n",
        "      <td>  25.3</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1308.010</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>176 </th>\n",
        "      <td>  25.1</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1297.670</td>\n",
        "      <td>  33.500000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1372.160000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>177 </th>\n",
        "      <td>  25.9</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1339.030</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>178 </th>\n",
        "      <td>  27.8</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1437.260</td>\n",
        "      <td>  28.857143</td>\n",
        "      <td>  2</td>\n",
        "      <td> 2219.691470</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>179 </th>\n",
        "      <td>  29.2</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1509.640</td>\n",
        "      <td>  25.714285</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1977.942795</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>180 </th>\n",
        "      <td>  29.6</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1530.320</td>\n",
        "      <td>  22.571428</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1736.194265</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>181 </th>\n",
        "      <td>  29.5</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1525.150</td>\n",
        "      <td>  19.428572</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1494.445735</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>182 </th>\n",
        "      <td>  29.2</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1509.640</td>\n",
        "      <td>  16.285715</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1252.697205</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>183 </th>\n",
        "      <td>  28.3</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1463.110</td>\n",
        "      <td>  13.142858</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1010.948603</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>184 </th>\n",
        "      <td>  26.1</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1349.370</td>\n",
        "      <td>  10.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td>  769.200000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>185 </th>\n",
        "      <td>  23.6</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1815.312</td>\n",
        "      <td>   6.666667</td>\n",
        "      <td>  0</td>\n",
        "      <td>  109.266664</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>186 </th>\n",
        "      <td>  21.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1615.320</td>\n",
        "      <td>   3.333333</td>\n",
        "      <td>  0</td>\n",
        "      <td>   54.633332</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>187 </th>\n",
        "      <td>  18.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1453.788</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>188 </th>\n",
        "      <td>  17.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1315.332</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>189 </th>\n",
        "      <td>  15.7</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1207.644</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>190 </th>\n",
        "      <td>  14.5</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1115.340</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>191 </th>\n",
        "      <td>  13.7</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1053.804</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>192 </th>\n",
        "      <td>  12.9</td>\n",
        "      <td> 2</td>\n",
        "      <td>  992.268</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>193 </th>\n",
        "      <td>  12.5</td>\n",
        "      <td> 2</td>\n",
        "      <td>  961.500</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>194 </th>\n",
        "      <td>  12.2</td>\n",
        "      <td> 2</td>\n",
        "      <td>  938.424</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>195 </th>\n",
        "      <td>  12.0</td>\n",
        "      <td> 2</td>\n",
        "      <td>  923.040</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>196 </th>\n",
        "      <td>  12.0</td>\n",
        "      <td> 2</td>\n",
        "      <td>  923.040</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>197 </th>\n",
        "      <td>  12.0</td>\n",
        "      <td> 2</td>\n",
        "      <td>  923.040</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>198 </th>\n",
        "      <td>  12.0</td>\n",
        "      <td> 2</td>\n",
        "      <td>  923.040</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>199 </th>\n",
        "      <td>  12.5</td>\n",
        "      <td> 2</td>\n",
        "      <td>  961.500</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>200 </th>\n",
        "      <td>  13.0</td>\n",
        "      <td> 2</td>\n",
        "      <td>  999.960</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>201 </th>\n",
        "      <td>  14.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1076.880</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>202 </th>\n",
        "      <td>  15.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1153.800</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>203 </th>\n",
        "      <td>  16.5</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1269.180</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>204 </th>\n",
        "      <td>  19.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1461.480</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>205 </th>\n",
        "      <td>  21.2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1630.704</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>206 </th>\n",
        "      <td>  23.8</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1830.696</td>\n",
        "      <td>   3.750000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  432.187500</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>207 </th>\n",
        "      <td>  26.9</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1390.730</td>\n",
        "      <td>   7.500000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  864.375000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>208 </th>\n",
        "      <td>  29.6</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1530.320</td>\n",
        "      <td>  11.250000</td>\n",
        "      <td>  1</td>\n",
        "      <td> 1296.562500</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>209 </th>\n",
        "      <td>  32.0</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1654.400</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>210 </th>\n",
        "      <td>  35.2</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1441.792</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>211 </th>\n",
        "      <td>  37.5</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1536.000</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>212 </th>\n",
        "      <td>  39.2</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1605.632</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>213 </th>\n",
        "      <td>  40.5</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1658.880</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>214 </th>\n",
        "      <td>  41.6</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1313.312</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>215 </th>\n",
        "      <td>  43.1</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1360.667</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>216 </th>\n",
        "      <td>  45.0</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1420.650</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>217 </th>\n",
        "      <td>  47.1</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1486.947</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>218 </th>\n",
        "      <td>  49.0</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1546.930</td>\n",
        "      <td>  12.500000</td>\n",
        "      <td>  2</td>\n",
        "      <td>  961.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>219 </th>\n",
        "      <td>  50.6</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1597.442</td>\n",
        "      <td>  10.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td>  769.200000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>220 </th>\n",
        "      <td>  51.8</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1635.326</td>\n",
        "      <td>   6.666670</td>\n",
        "      <td>  0</td>\n",
        "      <td>  109.266719</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>221 </th>\n",
        "      <td>  52.7</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1663.739</td>\n",
        "      <td>   3.333000</td>\n",
        "      <td>  0</td>\n",
        "      <td>   54.627869</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>222 </th>\n",
        "      <td>  53.1</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1676.367</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>223 </th>\n",
        "      <td>  53.5</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1314.495</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>224 </th>\n",
        "      <td>  53.8</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1321.866</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>225 </th>\n",
        "      <td>  54.2</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1331.694</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>226 </th>\n",
        "      <td>  54.8</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1346.436</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>227 </th>\n",
        "      <td>  55.3</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1358.721</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>228 </th>\n",
        "      <td>  55.8</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1371.006</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>229 </th>\n",
        "      <td>  56.2</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1380.834</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>230 </th>\n",
        "      <td>  56.5</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1388.205</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>231 </th>\n",
        "      <td>  56.5</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1388.205</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>232 </th>\n",
        "      <td>  56.2</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1380.834</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>233 </th>\n",
        "      <td>  54.9</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1348.893</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>234 </th>\n",
        "      <td>  52.9</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1670.053</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>235 </th>\n",
        "      <td>  51.0</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1610.070</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>236 </th>\n",
        "      <td>  49.8</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1572.186</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>237 </th>\n",
        "      <td>  49.2</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1553.244</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>238 </th>\n",
        "      <td>  48.4</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1527.988</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>239 </th>\n",
        "      <td>  46.9</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1480.633</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>240 </th>\n",
        "      <td>  44.3</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1398.551</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>241 </th>\n",
        "      <td>  41.5</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1310.155</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>242 </th>\n",
        "      <td>  39.5</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1617.920</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>243 </th>\n",
        "      <td>  37.0</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1515.520</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>244 </th>\n",
        "      <td>  34.6</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1417.216</td>\n",
        "      <td>   3.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  345.750000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>245 </th>\n",
        "      <td>  32.3</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1323.008</td>\n",
        "      <td>   6.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  691.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>246 </th>\n",
        "      <td>  29.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 2230.680</td>\n",
        "      <td>   9.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td> 1037.250000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>247 </th>\n",
        "      <td>  25.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1930.692</td>\n",
        "      <td>  12.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td>  923.040000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>248 </th>\n",
        "      <td>  22.2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1707.624</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>249 </th>\n",
        "      <td>  20.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1607.628</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>250 </th>\n",
        "      <td>  20.4</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1569.168</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>251 </th>\n",
        "      <td>  19.5</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1499.940</td>\n",
        "      <td>  18.400000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1415.327971</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>252 </th>\n",
        "      <td>  18.4</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1415.328</td>\n",
        "      <td>  21.799999</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1676.855942</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>253 </th>\n",
        "      <td>  17.8</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1369.176</td>\n",
        "      <td>  25.200001</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1938.384058</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>254 </th>\n",
        "      <td>  17.8</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1369.176</td>\n",
        "      <td>  28.600000</td>\n",
        "      <td>  3</td>\n",
        "      <td> 1478.620020</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>255 </th>\n",
        "      <td>  17.4</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1338.408</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  3</td>\n",
        "      <td> 1654.400000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>256 </th>\n",
        "      <td>  15.7</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1207.644</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  3</td>\n",
        "      <td> 1654.400000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>257 </th>\n",
        "      <td>  14.5</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1115.340</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>258 </th>\n",
        "      <td>  15.4</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1184.568</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>259 </th>\n",
        "      <td>  17.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1376.868</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>260 </th>\n",
        "      <td>  20.6</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1584.552</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>261 </th>\n",
        "      <td>  23.2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1784.544</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>262 </th>\n",
        "      <td>  25.7</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1328.690</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>263 </th>\n",
        "      <td>  28.7</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1483.790</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>264 </th>\n",
        "      <td>  32.5</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1680.250</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>265 </th>\n",
        "      <td>  36.1</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1478.656</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>266 </th>\n",
        "      <td>  39.0</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1597.440</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>267 </th>\n",
        "      <td>  40.8</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1671.168</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>268 </th>\n",
        "      <td>  42.9</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1354.353</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>269 </th>\n",
        "      <td>  44.4</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1401.708</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>270 </th>\n",
        "      <td>  45.9</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1449.063</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>271 </th>\n",
        "      <td>  46.0</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1452.220</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>272 </th>\n",
        "      <td>  45.6</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1439.592</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>273 </th>\n",
        "      <td>  45.3</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1430.121</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>274 </th>\n",
        "      <td>  43.7</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1379.609</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>275 </th>\n",
        "      <td>  40.8</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1671.168</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>276 </th>\n",
        "      <td>  38.0</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1556.480</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>277 </th>\n",
        "      <td>  34.4</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1409.024</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>278 </th>\n",
        "      <td>  30.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 2376.828</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>279 </th>\n",
        "      <td>  25.5</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1961.460</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>280 </th>\n",
        "      <td>  21.4</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1646.088</td>\n",
        "      <td>  29.250000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 2249.910000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>281 </th>\n",
        "      <td>  20.2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1553.784</td>\n",
        "      <td>  26.500000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 2038.380000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>282 </th>\n",
        "      <td>  22.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1761.468</td>\n",
        "      <td>  23.750000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1826.850000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>283 </th>\n",
        "      <td>  26.6</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1375.220</td>\n",
        "      <td>  21.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1615.320000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>284 </th>\n",
        "      <td>  30.2</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1561.340</td>\n",
        "      <td>  18.250000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1403.790000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>285 </th>\n",
        "      <td>  34.1</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1762.970</td>\n",
        "      <td>  15.500000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1192.260000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>286 </th>\n",
        "      <td>  37.4</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1531.904</td>\n",
        "      <td>  12.750000</td>\n",
        "      <td>  2</td>\n",
        "      <td>  980.730000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>287 </th>\n",
        "      <td>  40.7</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1667.072</td>\n",
        "      <td>  10.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td>  769.200000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>288 </th>\n",
        "      <td>  44.0</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1802.240</td>\n",
        "      <td>   6.666667</td>\n",
        "      <td>  0</td>\n",
        "      <td>  109.266672</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>289 </th>\n",
        "      <td>  47.3</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1493.261</td>\n",
        "      <td>   3.333333</td>\n",
        "      <td>  0</td>\n",
        "      <td>   54.633332</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>290 </th>\n",
        "      <td>  49.2</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1553.244</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>291 </th>\n",
        "      <td>  49.8</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1572.186</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>292 </th>\n",
        "      <td>  49.2</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1553.244</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>293 </th>\n",
        "      <td>  48.1</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1518.517</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>294 </th>\n",
        "      <td>  47.3</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1493.261</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>295 </th>\n",
        "      <td>  46.8</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1477.476</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>296 </th>\n",
        "      <td>  46.7</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1474.319</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>297 </th>\n",
        "      <td>  46.8</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1477.476</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>298 </th>\n",
        "      <td>  47.1</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1486.947</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>299 </th>\n",
        "      <td>  47.3</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1493.261</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>300 </th>\n",
        "      <td>  47.3</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1493.261</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>301 </th>\n",
        "      <td>  47.1</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1486.947</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>302 </th>\n",
        "      <td>  46.6</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1471.162</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>303 </th>\n",
        "      <td>  45.8</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1445.906</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>304 </th>\n",
        "      <td>  44.8</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1414.336</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>305 </th>\n",
        "      <td>  43.3</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1366.981</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>306 </th>\n",
        "      <td>  41.8</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1319.626</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>307 </th>\n",
        "      <td>  40.8</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1671.168</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>308 </th>\n",
        "      <td>  40.3</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1650.688</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>309 </th>\n",
        "      <td>  40.1</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1642.496</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>310 </th>\n",
        "      <td>  39.7</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1626.112</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>311 </th>\n",
        "      <td>  39.2</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1605.632</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>312 </th>\n",
        "      <td>  38.5</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1576.960</td>\n",
        "      <td>   3.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  345.750000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>313 </th>\n",
        "      <td>  37.4</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1531.904</td>\n",
        "      <td>   6.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  691.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>314 </th>\n",
        "      <td>  36.0</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1474.560</td>\n",
        "      <td>   9.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td> 1037.250000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>315 </th>\n",
        "      <td>  34.4</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1409.024</td>\n",
        "      <td>  12.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td>  923.040000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>316 </th>\n",
        "      <td>  33.0</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1351.680</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>317 </th>\n",
        "      <td>  31.7</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1638.890</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>318 </th>\n",
        "      <td>  30.0</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1551.000</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>319 </th>\n",
        "      <td>  28.0</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1447.600</td>\n",
        "      <td>  17.222200</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1324.731654</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>320 </th>\n",
        "      <td>  26.1</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1349.370</td>\n",
        "      <td>  19.444401</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1495.663309</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>321 </th>\n",
        "      <td>  25.6</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1323.520</td>\n",
        "      <td>  21.666599</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1666.594816</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>322 </th>\n",
        "      <td>  24.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1915.308</td>\n",
        "      <td>  23.888800</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1837.526471</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>323 </th>\n",
        "      <td>  24.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1915.308</td>\n",
        "      <td>  26.111000</td>\n",
        "      <td>  3</td>\n",
        "      <td> 1349.938703</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>324 </th>\n",
        "      <td>  24.3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1869.156</td>\n",
        "      <td>  28.333200</td>\n",
        "      <td>  3</td>\n",
        "      <td> 1464.826463</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>325 </th>\n",
        "      <td>  23.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1838.388</td>\n",
        "      <td>  30.555401</td>\n",
        "      <td>  3</td>\n",
        "      <td> 1579.714224</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>326 </th>\n",
        "      <td>  23.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1838.388</td>\n",
        "      <td>  32.777599</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1342.570469</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>327 </th>\n",
        "      <td>  23.6</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1815.312</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>328 </th>\n",
        "      <td>  23.3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1792.236</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>329 </th>\n",
        "      <td>  20.5</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1576.860</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>330 </th>\n",
        "      <td>  17.5</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1346.100</td>\n",
        "      <td>  36.875000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1510.400000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>331 </th>\n",
        "      <td>  16.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1299.948</td>\n",
        "      <td>  38.750000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1587.200000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>332 </th>\n",
        "      <td>  16.7</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1284.564</td>\n",
        "      <td>  40.625000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1664.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>333 </th>\n",
        "      <td>  15.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1223.028</td>\n",
        "      <td>  42.500000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1341.725000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>334 </th>\n",
        "      <td>  15.6</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1199.952</td>\n",
        "      <td>  44.375000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1400.918750</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>335 </th>\n",
        "      <td>  15.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1153.800</td>\n",
        "      <td>  46.250000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1460.112500</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>336 </th>\n",
        "      <td>  14.5</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1115.340</td>\n",
        "      <td>  48.125000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1519.306250</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>337 </th>\n",
        "      <td>  14.3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1099.956</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>338 </th>\n",
        "      <td>  14.5</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1115.340</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>339 </th>\n",
        "      <td>  15.4</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1184.568</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>340 </th>\n",
        "      <td>  17.8</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1369.176</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>341 </th>\n",
        "      <td>  21.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1623.012</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>342 </th>\n",
        "      <td>  24.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1853.772</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>343 </th>\n",
        "      <td>  25.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1923.000</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>344 </th>\n",
        "      <td>  25.3</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1308.010</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>345 </th>\n",
        "      <td>  25.5</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1318.350</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>346 </th>\n",
        "      <td>  26.4</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1364.880</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>347 </th>\n",
        "      <td>  26.6</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1375.220</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>348 </th>\n",
        "      <td>  27.1</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1401.070</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>349 </th>\n",
        "      <td>  27.7</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1432.090</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>350 </th>\n",
        "      <td>  28.1</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1452.770</td>\n",
        "      <td>  48.125000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1519.306250</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>351 </th>\n",
        "      <td>  28.2</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1457.940</td>\n",
        "      <td>  46.250000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1460.112500</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>352 </th>\n",
        "      <td>  28.1</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1452.770</td>\n",
        "      <td>  44.375000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1400.918750</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>353 </th>\n",
        "      <td>  28.0</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1447.600</td>\n",
        "      <td>  42.500000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1341.725000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>354 </th>\n",
        "      <td>  27.9</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1442.430</td>\n",
        "      <td>  40.625000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1664.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>355 </th>\n",
        "      <td>  27.9</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1442.430</td>\n",
        "      <td>  38.750000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1587.200000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>356 </th>\n",
        "      <td>  28.1</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1452.770</td>\n",
        "      <td>  36.875000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1510.400000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>357 </th>\n",
        "      <td>  28.2</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1457.940</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>358 </th>\n",
        "      <td>  28.0</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1447.600</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>359 </th>\n",
        "      <td>  26.9</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1390.730</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>360 </th>\n",
        "      <td>  25.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1923.000</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>361 </th>\n",
        "      <td>  23.2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1784.544</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>362 </th>\n",
        "      <td>  21.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1684.548</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>363 </th>\n",
        "      <td>  21.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1623.012</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>364 </th>\n",
        "      <td>  20.7</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1592.244</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>365 </th>\n",
        "      <td>  20.7</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1592.244</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>366 </th>\n",
        "      <td>  20.8</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1599.936</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>367 </th>\n",
        "      <td>  21.2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1630.704</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>368 </th>\n",
        "      <td>  22.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1699.932</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>369 </th>\n",
        "      <td>  23.5</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1807.620</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>370 </th>\n",
        "      <td>  24.3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1869.156</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>371 </th>\n",
        "      <td>  24.5</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1884.540</td>\n",
        "      <td>  33.500000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1372.160000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>372 </th>\n",
        "      <td>  23.8</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1830.696</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>373 </th>\n",
        "      <td>  21.3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1638.396</td>\n",
        "      <td>  28.857143</td>\n",
        "      <td>  2</td>\n",
        "      <td> 2219.691470</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>374 </th>\n",
        "      <td>  17.7</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1361.484</td>\n",
        "      <td>  25.714285</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1977.942795</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>375 </th>\n",
        "      <td>  14.4</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1107.648</td>\n",
        "      <td>  22.571428</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1736.194265</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>376 </th>\n",
        "      <td>  11.9</td>\n",
        "      <td> 2</td>\n",
        "      <td>  915.348</td>\n",
        "      <td>  19.428572</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1494.445735</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>377 </th>\n",
        "      <td>  10.2</td>\n",
        "      <td> 2</td>\n",
        "      <td>  784.584</td>\n",
        "      <td>  16.285715</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1252.697205</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>378 </th>\n",
        "      <td>   8.9</td>\n",
        "      <td> 0</td>\n",
        "      <td>  145.871</td>\n",
        "      <td>  13.142858</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1010.948603</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>379 </th>\n",
        "      <td>   8.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  131.120</td>\n",
        "      <td>  10.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td>  769.200000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>380 </th>\n",
        "      <td>   7.2</td>\n",
        "      <td> 0</td>\n",
        "      <td>  118.008</td>\n",
        "      <td>   6.666667</td>\n",
        "      <td>  0</td>\n",
        "      <td>  109.266664</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>381 </th>\n",
        "      <td>   6.1</td>\n",
        "      <td> 0</td>\n",
        "      <td>   99.979</td>\n",
        "      <td>   3.333333</td>\n",
        "      <td>  0</td>\n",
        "      <td>   54.633332</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>382 </th>\n",
        "      <td>   4.9</td>\n",
        "      <td> 0</td>\n",
        "      <td>   80.311</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>383 </th>\n",
        "      <td>   3.7</td>\n",
        "      <td> 0</td>\n",
        "      <td>   60.643</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>384 </th>\n",
        "      <td>   2.3</td>\n",
        "      <td> 0</td>\n",
        "      <td>   37.697</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>385 </th>\n",
        "      <td>   0.9</td>\n",
        "      <td> 0</td>\n",
        "      <td>   14.751</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>386 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>387 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>388 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>389 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>390 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>391 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>392 </th>\n",
        "      <td>   0.5</td>\n",
        "      <td> 1</td>\n",
        "      <td>   57.625</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>393 </th>\n",
        "      <td>   2.1</td>\n",
        "      <td> 1</td>\n",
        "      <td>  242.025</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>394 </th>\n",
        "      <td>   4.8</td>\n",
        "      <td> 1</td>\n",
        "      <td>  553.200</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>395 </th>\n",
        "      <td>   8.3</td>\n",
        "      <td> 1</td>\n",
        "      <td>  956.575</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>396 </th>\n",
        "      <td>  12.3</td>\n",
        "      <td> 2</td>\n",
        "      <td>  946.116</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>397 </th>\n",
        "      <td>  16.6</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1276.872</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>398 </th>\n",
        "      <td>  20.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1607.628</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>399 </th>\n",
        "      <td>  24.2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1861.464</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>400 </th>\n",
        "      <td>  25.6</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1969.152</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>401 </th>\n",
        "      <td>  25.6</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1969.152</td>\n",
        "      <td>   3.750000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  432.187500</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>402 </th>\n",
        "      <td>  24.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1915.308</td>\n",
        "      <td>   7.500000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  864.375000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>403 </th>\n",
        "      <td>  23.3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1792.236</td>\n",
        "      <td>  11.250000</td>\n",
        "      <td>  1</td>\n",
        "      <td> 1296.562500</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>404 </th>\n",
        "      <td>  21.6</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1661.472</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>405 </th>\n",
        "      <td>  20.2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1553.784</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>406 </th>\n",
        "      <td>  18.7</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1438.404</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>407 </th>\n",
        "      <td>  17.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1307.640</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>408 </th>\n",
        "      <td>  15.3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1176.876</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>409 </th>\n",
        "      <td>  14.2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1092.264</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>410 </th>\n",
        "      <td>  13.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1069.188</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>411 </th>\n",
        "      <td>  14.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1076.880</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>412 </th>\n",
        "      <td>  14.2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1092.264</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>413 </th>\n",
        "      <td>  14.5</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1115.340</td>\n",
        "      <td>  12.500000</td>\n",
        "      <td>  2</td>\n",
        "      <td>  961.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>414 </th>\n",
        "      <td>  14.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1146.108</td>\n",
        "      <td>  10.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td>  769.200000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>415 </th>\n",
        "      <td>  15.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1223.028</td>\n",
        "      <td>   6.666670</td>\n",
        "      <td>  0</td>\n",
        "      <td>  109.266719</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>416 </th>\n",
        "      <td>  17.4</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1338.408</td>\n",
        "      <td>   3.333000</td>\n",
        "      <td>  0</td>\n",
        "      <td>   54.627869</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>417 </th>\n",
        "      <td>  18.7</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1438.404</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>418 </th>\n",
        "      <td>  19.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1469.172</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>419 </th>\n",
        "      <td>  18.8</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1446.096</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>420 </th>\n",
        "      <td>  17.6</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1353.792</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>421 </th>\n",
        "      <td>  16.6</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1276.872</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>422 </th>\n",
        "      <td>  16.2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1246.104</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>423 </th>\n",
        "      <td>  16.4</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1261.488</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>424 </th>\n",
        "      <td>  17.2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1323.024</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>425 </th>\n",
        "      <td>  19.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1469.172</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>426 </th>\n",
        "      <td>  22.6</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1738.392</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>427 </th>\n",
        "      <td>  27.4</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1416.580</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>428 </th>\n",
        "      <td>  31.6</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1633.720</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>429 </th>\n",
        "      <td>  33.4</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1726.780</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>430 </th>\n",
        "      <td>  33.5</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1731.950</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>431 </th>\n",
        "      <td>  32.8</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1695.760</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>432 </th>\n",
        "      <td>  31.9</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1649.230</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>433 </th>\n",
        "      <td>  31.3</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1618.210</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>434 </th>\n",
        "      <td>  31.1</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1607.870</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>435 </th>\n",
        "      <td>  30.6</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1582.020</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>436 </th>\n",
        "      <td>  29.2</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1509.640</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>437 </th>\n",
        "      <td>  26.7</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1380.390</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>438 </th>\n",
        "      <td>  23.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1769.160</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>439 </th>\n",
        "      <td>  18.2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1399.944</td>\n",
        "      <td>   3.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  345.750000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>440 </th>\n",
        "      <td>  12.9</td>\n",
        "      <td> 2</td>\n",
        "      <td>  992.268</td>\n",
        "      <td>   6.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  691.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>441 </th>\n",
        "      <td>   7.7</td>\n",
        "      <td> 0</td>\n",
        "      <td>  126.203</td>\n",
        "      <td>   9.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td> 1037.250000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>442 </th>\n",
        "      <td>   3.8</td>\n",
        "      <td> 0</td>\n",
        "      <td>   62.282</td>\n",
        "      <td>  12.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td>  923.040000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>443 </th>\n",
        "      <td>   1.3</td>\n",
        "      <td> 0</td>\n",
        "      <td>   21.307</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>444 </th>\n",
        "      <td>   0.2</td>\n",
        "      <td> 0</td>\n",
        "      <td>    3.278</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>445 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>446 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  18.400000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1415.327971</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>447 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  21.799999</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1676.855942</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>448 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  25.200001</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1938.384058</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>449 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  28.600000</td>\n",
        "      <td>  3</td>\n",
        "      <td> 1478.620020</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>450 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  3</td>\n",
        "      <td> 1654.400000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>451 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  3</td>\n",
        "      <td> 1654.400000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>452 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>453 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>454 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>455 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>456 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>457 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>458 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>459 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>460 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>461 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>462 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>463 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>464 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>465 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>466 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>467 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>468 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>469 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>470 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>471 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>472 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>473 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>474 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>475 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  29.250000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 2249.910000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>476 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  26.500000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 2038.380000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>477 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  23.750000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1826.850000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>478 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  21.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1615.320000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>479 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  18.250000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1403.790000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>480 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  15.500000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1192.260000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>481 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  12.750000</td>\n",
        "      <td>  2</td>\n",
        "      <td>  980.730000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>482 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  10.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td>  769.200000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>483 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   6.666667</td>\n",
        "      <td>  0</td>\n",
        "      <td>  109.266672</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>484 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   3.333333</td>\n",
        "      <td>  0</td>\n",
        "      <td>   54.633332</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>485 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>486 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>487 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>488 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>489 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>490 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>491 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>492 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>493 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>494 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>495 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>496 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>497 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>498 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>499 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>500 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>501 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>502 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>503 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>504 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>505 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>506 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>507 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   3.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  345.750000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>508 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   6.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  691.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>509 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   9.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td> 1037.250000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>510 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  12.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td>  923.040000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>511 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>512 </th>\n",
        "      <td>   0.5</td>\n",
        "      <td> 1</td>\n",
        "      <td>   57.625</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>513 </th>\n",
        "      <td>   2.5</td>\n",
        "      <td> 1</td>\n",
        "      <td>  288.125</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>514 </th>\n",
        "      <td>   6.6</td>\n",
        "      <td> 1</td>\n",
        "      <td>  760.650</td>\n",
        "      <td>  17.222200</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1324.731654</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>515 </th>\n",
        "      <td>  11.8</td>\n",
        "      <td> 2</td>\n",
        "      <td>  907.656</td>\n",
        "      <td>  19.444401</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1495.663309</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>516 </th>\n",
        "      <td>  16.8</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1292.256</td>\n",
        "      <td>  21.666599</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1666.594816</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>517 </th>\n",
        "      <td>  20.5</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1576.860</td>\n",
        "      <td>  23.888800</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1837.526471</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>518 </th>\n",
        "      <td>  21.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1684.548</td>\n",
        "      <td>  26.111000</td>\n",
        "      <td>  3</td>\n",
        "      <td> 1349.938703</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>519 </th>\n",
        "      <td>  21.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1684.548</td>\n",
        "      <td>  28.333200</td>\n",
        "      <td>  3</td>\n",
        "      <td> 1464.826463</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>520 </th>\n",
        "      <td>  21.3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1638.396</td>\n",
        "      <td>  30.555401</td>\n",
        "      <td>  3</td>\n",
        "      <td> 1579.714224</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>521 </th>\n",
        "      <td>  20.3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1561.476</td>\n",
        "      <td>  32.777599</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1342.570469</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>522 </th>\n",
        "      <td>  19.2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1476.864</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>523 </th>\n",
        "      <td>  17.8</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1369.176</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>524 </th>\n",
        "      <td>  15.5</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1192.260</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>525 </th>\n",
        "      <td>  11.9</td>\n",
        "      <td> 2</td>\n",
        "      <td>  915.348</td>\n",
        "      <td>  36.875000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1510.400000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>526 </th>\n",
        "      <td>   7.6</td>\n",
        "      <td> 0</td>\n",
        "      <td>  124.564</td>\n",
        "      <td>  38.750000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1587.200000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>527 </th>\n",
        "      <td>   4.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>   65.560</td>\n",
        "      <td>  40.625000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1664.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>528 </th>\n",
        "      <td>   2.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>   32.780</td>\n",
        "      <td>  42.500000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1341.725000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>529 </th>\n",
        "      <td>   1.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>   16.390</td>\n",
        "      <td>  44.375000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1400.918750</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>530 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  46.250000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1460.112500</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>531 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  48.125000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1519.306250</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>532 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>533 </th>\n",
        "      <td>   0.2</td>\n",
        "      <td> 1</td>\n",
        "      <td>   23.050</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>534 </th>\n",
        "      <td>   1.2</td>\n",
        "      <td> 1</td>\n",
        "      <td>  138.300</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>535 </th>\n",
        "      <td>   3.2</td>\n",
        "      <td> 1</td>\n",
        "      <td>  368.800</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>536 </th>\n",
        "      <td>   5.2</td>\n",
        "      <td> 1</td>\n",
        "      <td>  599.300</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>537 </th>\n",
        "      <td>   8.2</td>\n",
        "      <td> 1</td>\n",
        "      <td>  945.050</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>538 </th>\n",
        "      <td>  13.0</td>\n",
        "      <td> 2</td>\n",
        "      <td>  999.960</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>539 </th>\n",
        "      <td>  18.8</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1446.096</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>540 </th>\n",
        "      <td>  23.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1776.852</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>541 </th>\n",
        "      <td>  24.5</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1884.540</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>542 </th>\n",
        "      <td>  24.5</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1884.540</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>543 </th>\n",
        "      <td>  24.3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1869.156</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>544 </th>\n",
        "      <td>  23.6</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1815.312</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>545 </th>\n",
        "      <td>  22.3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1715.316</td>\n",
        "      <td>  48.125000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1519.306250</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>546 </th>\n",
        "      <td>  20.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1546.092</td>\n",
        "      <td>  46.250000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1460.112500</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>547 </th>\n",
        "      <td>  18.5</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1423.020</td>\n",
        "      <td>  44.375000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1400.918750</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>548 </th>\n",
        "      <td>  17.2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1323.024</td>\n",
        "      <td>  42.500000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1341.725000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>549 </th>\n",
        "      <td>  16.3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1253.796</td>\n",
        "      <td>  40.625000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1664.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>550 </th>\n",
        "      <td>  15.4</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1184.568</td>\n",
        "      <td>  38.750000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1587.200000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>551 </th>\n",
        "      <td>  14.7</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1130.724</td>\n",
        "      <td>  36.875000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1510.400000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>552 </th>\n",
        "      <td>  14.3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1099.956</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>553 </th>\n",
        "      <td>  13.7</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1053.804</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>554 </th>\n",
        "      <td>  13.3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1023.036</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>555 </th>\n",
        "      <td>  13.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1007.652</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>556 </th>\n",
        "      <td>  13.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1007.652</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>557 </th>\n",
        "      <td>  13.3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1023.036</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>558 </th>\n",
        "      <td>  13.8</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1061.496</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>559 </th>\n",
        "      <td>  14.5</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1115.340</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>560 </th>\n",
        "      <td>  16.5</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1269.180</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>561 </th>\n",
        "      <td>  17.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1307.640</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>562 </th>\n",
        "      <td>  17.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1307.640</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>563 </th>\n",
        "      <td>  17.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1307.640</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>564 </th>\n",
        "      <td>  15.4</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1184.568</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>565 </th>\n",
        "      <td>  10.1</td>\n",
        "      <td> 2</td>\n",
        "      <td>  776.892</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>566 </th>\n",
        "      <td>   4.8</td>\n",
        "      <td> 0</td>\n",
        "      <td>   78.672</td>\n",
        "      <td>  33.500000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1372.160000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>567 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>568 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  28.857143</td>\n",
        "      <td>  2</td>\n",
        "      <td> 2219.691470</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>569 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  25.714285</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1977.942795</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>570 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  22.571428</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1736.194265</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>571 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  19.428572</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1494.445735</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>572 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  16.285715</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1252.697205</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>573 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  13.142858</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1010.948603</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>574 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  10.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td>  769.200000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>575 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   6.666667</td>\n",
        "      <td>  0</td>\n",
        "      <td>  109.266664</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>576 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   3.333333</td>\n",
        "      <td>  0</td>\n",
        "      <td>   54.633332</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>577 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>578 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>579 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>580 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>581 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>582 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>583 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>584 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>585 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>586 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>587 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>588 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>589 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>590 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>591 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>592 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>593 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>594 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>595 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>596 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   3.750000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  432.187500</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>597 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>   7.500000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  864.375000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>598 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  11.250000</td>\n",
        "      <td>  1</td>\n",
        "      <td> 1296.562500</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>599 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>600 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 1</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>601 </th>\n",
        "      <td>   1.0</td>\n",
        "      <td> 1</td>\n",
        "      <td>  115.250</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>602 </th>\n",
        "      <td>   2.1</td>\n",
        "      <td> 1</td>\n",
        "      <td>  242.025</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>603 </th>\n",
        "      <td>   4.8</td>\n",
        "      <td> 1</td>\n",
        "      <td>  553.200</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>604 </th>\n",
        "      <td>   9.1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1048.775</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>605 </th>\n",
        "      <td>  14.2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1092.264</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>606 </th>\n",
        "      <td>  19.8</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1523.016</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>607 </th>\n",
        "      <td>  25.5</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1961.460</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>608 </th>\n",
        "      <td>  30.5</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1576.850</td>\n",
        "      <td>  12.500000</td>\n",
        "      <td>  2</td>\n",
        "      <td>  961.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>609 </th>\n",
        "      <td>  34.8</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1799.160</td>\n",
        "      <td>  10.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td>  769.200000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>610 </th>\n",
        "      <td>  38.8</td>\n",
        "      <td> 3</td>\n",
        "      <td> 2005.960</td>\n",
        "      <td>   6.666670</td>\n",
        "      <td>  0</td>\n",
        "      <td>  109.266719</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>611 </th>\n",
        "      <td>  42.9</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1757.184</td>\n",
        "      <td>   3.333000</td>\n",
        "      <td>  0</td>\n",
        "      <td>   54.627869</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>612 </th>\n",
        "      <td>  46.4</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1900.544</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>613 </th>\n",
        "      <td>  48.3</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1978.368</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>614 </th>\n",
        "      <td>  48.7</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1537.459</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>615 </th>\n",
        "      <td>  48.5</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1531.145</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>616 </th>\n",
        "      <td>  48.4</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1527.988</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>617 </th>\n",
        "      <td>  48.2</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1521.674</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>618 </th>\n",
        "      <td>  47.8</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1509.046</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>619 </th>\n",
        "      <td>  47.0</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1483.790</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>620 </th>\n",
        "      <td>  45.9</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1449.063</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>621 </th>\n",
        "      <td>  44.9</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1417.493</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>622 </th>\n",
        "      <td>  44.4</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1401.708</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>623 </th>\n",
        "      <td>  44.3</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1398.551</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>624 </th>\n",
        "      <td>  44.5</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1404.865</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>625 </th>\n",
        "      <td>  45.1</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1423.807</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>626 </th>\n",
        "      <td>  45.7</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1442.749</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>627 </th>\n",
        "      <td>  46.0</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1452.220</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>628 </th>\n",
        "      <td>  46.0</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1452.220</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>629 </th>\n",
        "      <td>  46.0</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1452.220</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>630 </th>\n",
        "      <td>  46.1</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1455.377</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>631 </th>\n",
        "      <td>  46.7</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1474.319</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>632 </th>\n",
        "      <td>  47.7</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1505.889</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>633 </th>\n",
        "      <td>  48.9</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1543.773</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>634 </th>\n",
        "      <td>  50.3</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1587.971</td>\n",
        "      <td>   3.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  345.750000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>635 </th>\n",
        "      <td>  51.6</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1629.012</td>\n",
        "      <td>   6.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  691.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>636 </th>\n",
        "      <td>  52.6</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1660.582</td>\n",
        "      <td>   9.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td> 1037.250000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>637 </th>\n",
        "      <td>  53.0</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1673.210</td>\n",
        "      <td>  12.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td>  923.040000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>638 </th>\n",
        "      <td>  53.0</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1673.210</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>639 </th>\n",
        "      <td>  52.9</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1670.053</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>640 </th>\n",
        "      <td>  52.7</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1663.739</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>641 </th>\n",
        "      <td>  52.6</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1660.582</td>\n",
        "      <td>  18.400000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1415.327971</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>642 </th>\n",
        "      <td>  53.1</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1676.367</td>\n",
        "      <td>  21.799999</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1676.855942</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>643 </th>\n",
        "      <td>  54.3</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1334.151</td>\n",
        "      <td>  25.200001</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1938.384058</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>644 </th>\n",
        "      <td>  55.2</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1356.264</td>\n",
        "      <td>  28.600000</td>\n",
        "      <td>  3</td>\n",
        "      <td> 1478.620020</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>645 </th>\n",
        "      <td>  55.5</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1363.635</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  3</td>\n",
        "      <td> 1654.400000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>646 </th>\n",
        "      <td>  55.9</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1373.463</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  3</td>\n",
        "      <td> 1654.400000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>647 </th>\n",
        "      <td>  56.3</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1383.291</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>648 </th>\n",
        "      <td>  56.7</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1393.119</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>649 </th>\n",
        "      <td>  56.9</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1398.033</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>650 </th>\n",
        "      <td>  56.8</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1395.576</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>651 </th>\n",
        "      <td>  56.0</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1375.920</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>652 </th>\n",
        "      <td>  54.2</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1331.694</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>653 </th>\n",
        "      <td>  52.1</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1644.797</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>654 </th>\n",
        "      <td>  50.1</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1581.657</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>655 </th>\n",
        "      <td>  47.2</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1490.104</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>656 </th>\n",
        "      <td>  43.2</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1363.824</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>657 </th>\n",
        "      <td>  39.2</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1605.632</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>658 </th>\n",
        "      <td>  36.5</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1495.040</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>659 </th>\n",
        "      <td>  34.3</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1404.928</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>660 </th>\n",
        "      <td>  31.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 2384.520</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>661 </th>\n",
        "      <td>  26.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1999.920</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>662 </th>\n",
        "      <td>  20.7</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1592.244</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>663 </th>\n",
        "      <td>  15.4</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1184.568</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>664 </th>\n",
        "      <td>  13.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1007.652</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>665 </th>\n",
        "      <td>  12.0</td>\n",
        "      <td> 2</td>\n",
        "      <td>  923.040</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>666 </th>\n",
        "      <td>  12.5</td>\n",
        "      <td> 2</td>\n",
        "      <td>  961.500</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>667 </th>\n",
        "      <td>  14.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1076.880</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>668 </th>\n",
        "      <td>  19.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1461.480</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>669 </th>\n",
        "      <td>  23.2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1784.544</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>670 </th>\n",
        "      <td>  28.0</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1447.600</td>\n",
        "      <td>  29.250000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 2249.910000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>671 </th>\n",
        "      <td>  32.0</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1654.400</td>\n",
        "      <td>  26.500000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 2038.380000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>672 </th>\n",
        "      <td>  34.0</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1757.800</td>\n",
        "      <td>  23.750000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1826.850000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>673 </th>\n",
        "      <td>  36.0</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1474.560</td>\n",
        "      <td>  21.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1615.320000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>674 </th>\n",
        "      <td>  38.0</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1556.480</td>\n",
        "      <td>  18.250000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1403.790000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>675 </th>\n",
        "      <td>  40.0</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1638.400</td>\n",
        "      <td>  15.500000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1192.260000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>676 </th>\n",
        "      <td>  40.3</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1650.688</td>\n",
        "      <td>  12.750000</td>\n",
        "      <td>  2</td>\n",
        "      <td>  980.730000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>677 </th>\n",
        "      <td>  40.5</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1658.880</td>\n",
        "      <td>  10.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td>  769.200000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>678 </th>\n",
        "      <td>  39.0</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1597.440</td>\n",
        "      <td>   6.666667</td>\n",
        "      <td>  0</td>\n",
        "      <td>  109.266672</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>679 </th>\n",
        "      <td>  35.7</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1462.272</td>\n",
        "      <td>   3.333333</td>\n",
        "      <td>  0</td>\n",
        "      <td>   54.633332</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>680 </th>\n",
        "      <td>  31.8</td>\n",
        "      <td> 2</td>\n",
        "      <td> 2446.056</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>681 </th>\n",
        "      <td>  27.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 2084.532</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>682 </th>\n",
        "      <td>  22.8</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1753.776</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>683 </th>\n",
        "      <td>  21.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1623.012</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>684 </th>\n",
        "      <td>  18.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1453.788</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>685 </th>\n",
        "      <td>  18.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1453.788</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>686 </th>\n",
        "      <td>  21.3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1638.396</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>687 </th>\n",
        "      <td>  23.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1838.388</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>688 </th>\n",
        "      <td>  25.9</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1339.030</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>689 </th>\n",
        "      <td>  28.4</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1468.280</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>690 </th>\n",
        "      <td>  30.3</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1566.510</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>691 </th>\n",
        "      <td>  30.9</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1597.530</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>692 </th>\n",
        "      <td>  31.1</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1607.870</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>693 </th>\n",
        "      <td>  31.8</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1644.060</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>694 </th>\n",
        "      <td>  32.7</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1690.590</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>695 </th>\n",
        "      <td>  33.2</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1716.440</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>696 </th>\n",
        "      <td>  32.4</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1675.080</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>697 </th>\n",
        "      <td>  28.3</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1463.110</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>698 </th>\n",
        "      <td>  25.8</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1333.860</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>699 </th>\n",
        "      <td>  23.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1776.852</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>700 </th>\n",
        "      <td>  21.8</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1676.856</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>701 </th>\n",
        "      <td>  21.2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1630.704</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>702 </th>\n",
        "      <td>  21.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1615.320</td>\n",
        "      <td>   3.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  345.750000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>703 </th>\n",
        "      <td>  21.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1615.320</td>\n",
        "      <td>   6.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  691.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>704 </th>\n",
        "      <td>  20.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1607.628</td>\n",
        "      <td>   9.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td> 1037.250000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>705 </th>\n",
        "      <td>  19.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1530.708</td>\n",
        "      <td>  12.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td>  923.040000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>706 </th>\n",
        "      <td>  17.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1376.868</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>707 </th>\n",
        "      <td>  15.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1161.492</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>708 </th>\n",
        "      <td>  12.8</td>\n",
        "      <td> 2</td>\n",
        "      <td>  984.576</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>709 </th>\n",
        "      <td>  12.0</td>\n",
        "      <td> 2</td>\n",
        "      <td>  923.040</td>\n",
        "      <td>  17.222200</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1324.731654</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>710 </th>\n",
        "      <td>  13.2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1015.344</td>\n",
        "      <td>  19.444401</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1495.663309</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>711 </th>\n",
        "      <td>  17.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1315.332</td>\n",
        "      <td>  21.666599</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1666.594816</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>712 </th>\n",
        "      <td>  21.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1623.012</td>\n",
        "      <td>  23.888800</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1837.526471</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>713 </th>\n",
        "      <td>  21.8</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1676.856</td>\n",
        "      <td>  26.111000</td>\n",
        "      <td>  3</td>\n",
        "      <td> 1349.938703</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>714 </th>\n",
        "      <td>  21.2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1630.704</td>\n",
        "      <td>  28.333200</td>\n",
        "      <td>  3</td>\n",
        "      <td> 1464.826463</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>715 </th>\n",
        "      <td>  18.5</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1423.020</td>\n",
        "      <td>  30.555401</td>\n",
        "      <td>  3</td>\n",
        "      <td> 1579.714224</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>716 </th>\n",
        "      <td>  13.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1069.188</td>\n",
        "      <td>  32.777599</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1342.570469</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>717 </th>\n",
        "      <td>  12.0</td>\n",
        "      <td> 2</td>\n",
        "      <td>  923.040</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>718 </th>\n",
        "      <td>  12.0</td>\n",
        "      <td> 2</td>\n",
        "      <td>  923.040</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>719 </th>\n",
        "      <td>  13.0</td>\n",
        "      <td> 2</td>\n",
        "      <td>  999.960</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>720 </th>\n",
        "      <td>  16.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1230.720</td>\n",
        "      <td>  36.875000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1510.400000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>721 </th>\n",
        "      <td>  18.5</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1423.020</td>\n",
        "      <td>  38.750000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1587.200000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>722 </th>\n",
        "      <td>  20.6</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1584.552</td>\n",
        "      <td>  40.625000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1664.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>723 </th>\n",
        "      <td>  22.5</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1730.700</td>\n",
        "      <td>  42.500000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1341.725000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>724 </th>\n",
        "      <td>  24.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1846.080</td>\n",
        "      <td>  44.375000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1400.918750</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>725 </th>\n",
        "      <td>  26.6</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1375.220</td>\n",
        "      <td>  46.250000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1460.112500</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>726 </th>\n",
        "      <td>  29.9</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1545.830</td>\n",
        "      <td>  48.125000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1519.306250</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>727 </th>\n",
        "      <td>  34.8</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1799.160</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>728 </th>\n",
        "      <td>  37.8</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1548.288</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>729 </th>\n",
        "      <td>  40.2</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1646.592</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>730 </th>\n",
        "      <td>  41.6</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1703.936</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>731 </th>\n",
        "      <td>  41.9</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1322.783</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>732 </th>\n",
        "      <td>  42.0</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1325.940</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>733 </th>\n",
        "      <td>  42.2</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1332.254</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>734 </th>\n",
        "      <td>  42.4</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1338.568</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>735 </th>\n",
        "      <td>  42.7</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1348.039</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>736 </th>\n",
        "      <td>  43.1</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1360.667</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>737 </th>\n",
        "      <td>  43.7</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1379.609</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>738 </th>\n",
        "      <td>  44.0</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1389.080</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>739 </th>\n",
        "      <td>  44.1</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1392.237</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>740 </th>\n",
        "      <td>  45.3</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1430.121</td>\n",
        "      <td>  48.125000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1519.306250</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>741 </th>\n",
        "      <td>  46.4</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1464.848</td>\n",
        "      <td>  46.250000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1460.112500</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>742 </th>\n",
        "      <td>  47.2</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1490.104</td>\n",
        "      <td>  44.375000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1400.918750</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>743 </th>\n",
        "      <td>  47.3</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1493.261</td>\n",
        "      <td>  42.500000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1341.725000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>744 </th>\n",
        "      <td>  47.4</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1496.418</td>\n",
        "      <td>  40.625000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1664.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>745 </th>\n",
        "      <td>  47.4</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1496.418</td>\n",
        "      <td>  38.750000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1587.200000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>746 </th>\n",
        "      <td>  47.5</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1499.575</td>\n",
        "      <td>  36.875000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1510.400000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>747 </th>\n",
        "      <td>  47.9</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1512.203</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>748 </th>\n",
        "      <td>  48.6</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1534.302</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>749 </th>\n",
        "      <td>  49.4</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1559.558</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>750 </th>\n",
        "      <td>  49.8</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1572.186</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>751 </th>\n",
        "      <td>  49.8</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1572.186</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>752 </th>\n",
        "      <td>  49.7</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1569.029</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>753 </th>\n",
        "      <td>  49.3</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1556.401</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>754 </th>\n",
        "      <td>  48.5</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1531.145</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>755 </th>\n",
        "      <td>  47.6</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1502.732</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>756 </th>\n",
        "      <td>  46.3</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1461.691</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>757 </th>\n",
        "      <td>  43.7</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1379.609</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>758 </th>\n",
        "      <td>  39.3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 3022.956</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>759 </th>\n",
        "      <td>  34.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 2622.972</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>760 </th>\n",
        "      <td>  29.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 2230.680</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>761 </th>\n",
        "      <td>  23.7</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1823.004</td>\n",
        "      <td>  33.500000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1372.160000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>762 </th>\n",
        "      <td>  18.4</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1415.328</td>\n",
        "      <td>  32.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1310.720000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>763 </th>\n",
        "      <td>  14.3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1099.956</td>\n",
        "      <td>  28.857143</td>\n",
        "      <td>  2</td>\n",
        "      <td> 2219.691470</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>764 </th>\n",
        "      <td>  12.0</td>\n",
        "      <td> 2</td>\n",
        "      <td>  923.040</td>\n",
        "      <td>  25.714285</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1977.942795</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>765 </th>\n",
        "      <td>  12.8</td>\n",
        "      <td> 2</td>\n",
        "      <td>  984.576</td>\n",
        "      <td>  22.571428</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1736.194265</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>766 </th>\n",
        "      <td>  16.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1230.720</td>\n",
        "      <td>  19.428572</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1494.445735</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>767 </th>\n",
        "      <td>  19.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1469.172</td>\n",
        "      <td>  16.285715</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1252.697205</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>768 </th>\n",
        "      <td>  22.4</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1723.008</td>\n",
        "      <td>  13.142858</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1010.948603</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>769 </th>\n",
        "      <td>  25.6</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1323.520</td>\n",
        "      <td>  10.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td>  769.200000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>770 </th>\n",
        "      <td>  30.1</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1556.170</td>\n",
        "      <td>   6.666667</td>\n",
        "      <td>  0</td>\n",
        "      <td>  109.266664</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>771 </th>\n",
        "      <td>  35.3</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1825.010</td>\n",
        "      <td>   3.333333</td>\n",
        "      <td>  0</td>\n",
        "      <td>   54.633332</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>772 </th>\n",
        "      <td>  39.9</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1634.304</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>773 </th>\n",
        "      <td>  44.5</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1822.720</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>774 </th>\n",
        "      <td>  47.5</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1945.600</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>775 </th>\n",
        "      <td>  50.9</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1606.913</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>776 </th>\n",
        "      <td>  54.1</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1707.937</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>777 </th>\n",
        "      <td>  56.3</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1777.391</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>778 </th>\n",
        "      <td>  58.1</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1427.517</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>779 </th>\n",
        "      <td>  59.8</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1469.286</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>780 </th>\n",
        "      <td>  61.1</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1501.227</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>781 </th>\n",
        "      <td>  62.1</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1525.797</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>782 </th>\n",
        "      <td>  62.8</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1542.996</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>783 </th>\n",
        "      <td>  63.3</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1555.281</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>784 </th>\n",
        "      <td>  63.6</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1310.796</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>785 </th>\n",
        "      <td>  64.0</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1319.040</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>786 </th>\n",
        "      <td>  64.7</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1333.467</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>787 </th>\n",
        "      <td>  65.2</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1343.772</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>788 </th>\n",
        "      <td>  65.3</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1345.833</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>789 </th>\n",
        "      <td>  65.3</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1345.833</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>790 </th>\n",
        "      <td>  65.4</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1347.894</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>791 </th>\n",
        "      <td>  65.7</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1354.077</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>792 </th>\n",
        "      <td>  66.0</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1360.260</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>793 </th>\n",
        "      <td>  65.6</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1352.016</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>794 </th>\n",
        "      <td>  63.5</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1308.735</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>795 </th>\n",
        "      <td>  59.7</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1884.729</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>796 </th>\n",
        "      <td>  54.6</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1723.722</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>797 </th>\n",
        "      <td>  49.3</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1556.401</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>798 </th>\n",
        "      <td>  44.9</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1417.493</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>799 </th>\n",
        "      <td>  42.3</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1335.411</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>800 </th>\n",
        "      <td>  41.4</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1695.744</td>\n",
        "      <td>   3.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  345.750000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>801 </th>\n",
        "      <td>  41.3</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1691.648</td>\n",
        "      <td>   6.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td>  691.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>802 </th>\n",
        "      <td>  42.1</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1329.097</td>\n",
        "      <td>   9.000000</td>\n",
        "      <td>  1</td>\n",
        "      <td> 1037.250000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>803 </th>\n",
        "      <td>  44.7</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1411.179</td>\n",
        "      <td>  12.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td>  923.040000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>804 </th>\n",
        "      <td>  48.4</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1527.988</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>805 </th>\n",
        "      <td>  51.4</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1622.698</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>806 </th>\n",
        "      <td>  52.7</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1663.739</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>807 </th>\n",
        "      <td>  53.0</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1673.210</td>\n",
        "      <td>  17.222221</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1324.733268</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>808 </th>\n",
        "      <td>  52.5</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1657.425</td>\n",
        "      <td>  19.444445</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1495.666683</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>809 </th>\n",
        "      <td>  51.3</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1619.541</td>\n",
        "      <td>  21.666666</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1666.599951</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>810 </th>\n",
        "      <td>  49.7</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1569.029</td>\n",
        "      <td>  23.888889</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1837.533366</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>811 </th>\n",
        "      <td>  47.4</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1496.418</td>\n",
        "      <td>  26.111111</td>\n",
        "      <td>  3</td>\n",
        "      <td> 1349.944423</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>812 </th>\n",
        "      <td>  43.7</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1379.609</td>\n",
        "      <td>  28.333334</td>\n",
        "      <td>  3</td>\n",
        "      <td> 1464.833366</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>813 </th>\n",
        "      <td>  39.7</td>\n",
        "      <td> 3</td>\n",
        "      <td> 2052.490</td>\n",
        "      <td>  30.555555</td>\n",
        "      <td>  3</td>\n",
        "      <td> 1579.722211</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>814 </th>\n",
        "      <td>  35.5</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1835.350</td>\n",
        "      <td>  32.777779</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1342.577813</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>815 </th>\n",
        "      <td>  31.1</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1607.870</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>816 </th>\n",
        "      <td>  26.3</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1359.710</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>817 </th>\n",
        "      <td>  21.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1684.548</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>818 </th>\n",
        "      <td>  18.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1384.560</td>\n",
        "      <td>  36.875000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1510.400000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>819 </th>\n",
        "      <td>  17.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1307.640</td>\n",
        "      <td>  38.750000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1587.200000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>820 </th>\n",
        "      <td>  18.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1384.560</td>\n",
        "      <td>  40.625000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1664.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>821 </th>\n",
        "      <td>  21.4</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1646.088</td>\n",
        "      <td>  42.500000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1341.725000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>822 </th>\n",
        "      <td>  24.8</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1907.616</td>\n",
        "      <td>  44.375000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1400.918750</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>823 </th>\n",
        "      <td>  27.9</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1442.430</td>\n",
        "      <td>  46.250000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1460.112500</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>824 </th>\n",
        "      <td>  30.8</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1592.360</td>\n",
        "      <td>  48.125000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1519.306250</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>825 </th>\n",
        "      <td>  33.0</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1706.100</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>826 </th>\n",
        "      <td>  35.1</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1437.696</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>827 </th>\n",
        "      <td>  37.1</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1519.616</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>828 </th>\n",
        "      <td>  38.9</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1593.344</td>\n",
        "      <td>  51.538460</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1627.069175</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>829 </th>\n",
        "      <td>  41.4</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1695.744</td>\n",
        "      <td>  53.076920</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1675.638351</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>830 </th>\n",
        "      <td>  44.0</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1389.080</td>\n",
        "      <td>  54.615379</td>\n",
        "      <td>  6</td>\n",
        "      <td> 1341.899870</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>831 </th>\n",
        "      <td>  46.3</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1461.691</td>\n",
        "      <td>  56.153839</td>\n",
        "      <td>  6</td>\n",
        "      <td> 1379.699827</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>832 </th>\n",
        "      <td>  47.7</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1505.889</td>\n",
        "      <td>  57.692299</td>\n",
        "      <td>  6</td>\n",
        "      <td> 1417.499784</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>833 </th>\n",
        "      <td>  48.2</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1521.674</td>\n",
        "      <td>  59.230759</td>\n",
        "      <td>  6</td>\n",
        "      <td> 1455.299741</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>834 </th>\n",
        "      <td>  48.7</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1537.459</td>\n",
        "      <td>  60.769218</td>\n",
        "      <td>  6</td>\n",
        "      <td> 1493.099697</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>835 </th>\n",
        "      <td>  49.3</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1556.401</td>\n",
        "      <td>  62.307678</td>\n",
        "      <td>  6</td>\n",
        "      <td> 1530.899654</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>836 </th>\n",
        "      <td>  49.8</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1572.186</td>\n",
        "      <td>  63.846142</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1315.868983</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>837 </th>\n",
        "      <td>  50.2</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1584.814</td>\n",
        "      <td>  65.384598</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1347.576560</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>838 </th>\n",
        "      <td>  50.9</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1606.913</td>\n",
        "      <td>  66.923058</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1379.284216</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>839 </th>\n",
        "      <td>  51.8</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1635.326</td>\n",
        "      <td>  68.461517</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1410.991872</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>840 </th>\n",
        "      <td>  52.5</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1657.425</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>841 </th>\n",
        "      <td>  53.3</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1309.581</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>842 </th>\n",
        "      <td>  54.5</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1339.065</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>843 </th>\n",
        "      <td>  55.7</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1368.549</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>844 </th>\n",
        "      <td>  56.5</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1388.205</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>845 </th>\n",
        "      <td>  56.8</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1395.576</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>846 </th>\n",
        "      <td>  57.0</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1400.490</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>847 </th>\n",
        "      <td>  57.2</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1405.404</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>848 </th>\n",
        "      <td>  57.7</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1417.689</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>849 </th>\n",
        "      <td>  58.7</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1442.259</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>850 </th>\n",
        "      <td>  60.1</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1476.657</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>851 </th>\n",
        "      <td>  61.1</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1501.227</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>852 </th>\n",
        "      <td>  61.7</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1515.969</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>853 </th>\n",
        "      <td>  62.3</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1530.711</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>854 </th>\n",
        "      <td>  62.9</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1545.453</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>855 </th>\n",
        "      <td>  63.3</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1555.281</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>856 </th>\n",
        "      <td>  63.4</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1557.738</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>857 </th>\n",
        "      <td>  63.5</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1308.735</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>858 </th>\n",
        "      <td>  64.5</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1329.345</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>859 </th>\n",
        "      <td>  65.8</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1356.138</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>860 </th>\n",
        "      <td>  66.8</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1376.748</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>861 </th>\n",
        "      <td>  67.4</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1389.114</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>862 </th>\n",
        "      <td>  68.8</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1417.968</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>863 </th>\n",
        "      <td>  71.1</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1465.371</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>864 </th>\n",
        "      <td>  72.3</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1490.103</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>865 </th>\n",
        "      <td>  72.8</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1500.408</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>866 </th>\n",
        "      <td>  73.4</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1512.774</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>867 </th>\n",
        "      <td>  74.6</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1537.506</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>868 </th>\n",
        "      <td>  76.0</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1566.360</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>869 </th>\n",
        "      <td>  76.6</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1578.726</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>870 </th>\n",
        "      <td>  76.5</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1576.665</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>871 </th>\n",
        "      <td>  76.2</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1570.482</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>872 </th>\n",
        "      <td>  75.8</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1562.238</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>873 </th>\n",
        "      <td>  75.4</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1553.994</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>874 </th>\n",
        "      <td>  74.8</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1541.628</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>875 </th>\n",
        "      <td>  73.9</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1523.079</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>876 </th>\n",
        "      <td>  72.7</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1498.347</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>877 </th>\n",
        "      <td>  71.3</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1469.493</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>878 </th>\n",
        "      <td>  70.4</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1450.944</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>879 </th>\n",
        "      <td>  70.0</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1442.700</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>880 </th>\n",
        "      <td>  70.0</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1442.700</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>881 </th>\n",
        "      <td>  69.0</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1422.090</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>882 </th>\n",
        "      <td>  68.0</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1401.480</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>883 </th>\n",
        "      <td>  68.0</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1401.480</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>884 </th>\n",
        "      <td>  68.0</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1401.480</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>885 </th>\n",
        "      <td>  68.1</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1403.541</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>886 </th>\n",
        "      <td>  68.4</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1409.724</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>887 </th>\n",
        "      <td>  68.6</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1413.846</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>888 </th>\n",
        "      <td>  68.7</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1415.907</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>889 </th>\n",
        "      <td>  68.5</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1411.785</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>890 </th>\n",
        "      <td>  68.1</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1403.541</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>891 </th>\n",
        "      <td>  67.3</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1387.053</td>\n",
        "      <td>  67.500000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1391.175000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>892 </th>\n",
        "      <td>  66.2</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1364.382</td>\n",
        "      <td>  65.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1339.650000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>893 </th>\n",
        "      <td>  64.8</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1335.528</td>\n",
        "      <td>  62.500000</td>\n",
        "      <td>  6</td>\n",
        "      <td> 1535.625000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>894 </th>\n",
        "      <td>  63.6</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1310.796</td>\n",
        "      <td>  60.000000</td>\n",
        "      <td>  6</td>\n",
        "      <td> 1474.200000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>895 </th>\n",
        "      <td>  62.6</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1538.082</td>\n",
        "      <td>  57.500000</td>\n",
        "      <td>  6</td>\n",
        "      <td> 1412.775000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>896 </th>\n",
        "      <td>  62.1</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1525.797</td>\n",
        "      <td>  55.000000</td>\n",
        "      <td>  6</td>\n",
        "      <td> 1351.350000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>897 </th>\n",
        "      <td>  61.9</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1520.883</td>\n",
        "      <td>  52.500000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1657.425000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>898 </th>\n",
        "      <td>  61.9</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1520.883</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>899 </th>\n",
        "      <td>  61.8</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1518.426</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>900 </th>\n",
        "      <td>  61.5</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1511.055</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>901 </th>\n",
        "      <td>  60.9</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1496.313</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>902 </th>\n",
        "      <td>  59.7</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1466.829</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>903 </th>\n",
        "      <td>  54.6</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1341.522</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>904 </th>\n",
        "      <td>  49.3</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1556.401</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>905 </th>\n",
        "      <td>  44.9</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1417.493</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>906 </th>\n",
        "      <td>  42.3</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1335.411</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>907 </th>\n",
        "      <td>  41.4</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1695.744</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>908 </th>\n",
        "      <td>  41.3</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1691.648</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>909 </th>\n",
        "      <td>  42.1</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1329.097</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>910 </th>\n",
        "      <td>  44.7</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1411.179</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>911 </th>\n",
        "      <td>  48.4</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1527.988</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>912 </th>\n",
        "      <td>  51.4</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1622.698</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>913 </th>\n",
        "      <td>  52.7</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1663.739</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>914 </th>\n",
        "      <td>  54.0</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1326.780</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>915 </th>\n",
        "      <td>  57.0</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1400.490</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>916 </th>\n",
        "      <td>  58.1</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1427.517</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>917 </th>\n",
        "      <td>  59.2</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1454.544</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>918 </th>\n",
        "      <td>  59.0</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1449.630</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>919 </th>\n",
        "      <td>  59.1</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1452.087</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>920 </th>\n",
        "      <td>  59.5</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1461.915</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>921 </th>\n",
        "      <td>  60.5</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1486.485</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>922 </th>\n",
        "      <td>  62.3</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1530.711</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>923 </th>\n",
        "      <td>  63.9</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1570.023</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>924 </th>\n",
        "      <td>  65.1</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1599.507</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>925 </th>\n",
        "      <td>  64.1</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1574.937</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>926 </th>\n",
        "      <td>  62.7</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1540.539</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>927 </th>\n",
        "      <td>  62.0</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1523.340</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>928 </th>\n",
        "      <td>  61.3</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1506.141</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>929 </th>\n",
        "      <td>  60.9</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1496.313</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>930 </th>\n",
        "      <td>  60.5</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1486.485</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>931 </th>\n",
        "      <td>  60.2</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1479.114</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>932 </th>\n",
        "      <td>  59.8</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1469.286</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>933 </th>\n",
        "      <td>  59.4</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1459.458</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>934 </th>\n",
        "      <td>  58.6</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1439.802</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>935 </th>\n",
        "      <td>  57.5</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1412.775</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>936 </th>\n",
        "      <td>  56.6</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1390.662</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>937 </th>\n",
        "      <td>  56.0</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1375.920</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>938 </th>\n",
        "      <td>  55.5</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1363.635</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>939 </th>\n",
        "      <td>  55.0</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1351.350</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>940 </th>\n",
        "      <td>  54.4</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1336.608</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>941 </th>\n",
        "      <td>  54.1</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1329.237</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>942 </th>\n",
        "      <td>  54.0</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1326.780</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>943 </th>\n",
        "      <td>  53.9</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1324.323</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>944 </th>\n",
        "      <td>  53.9</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1324.323</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>945 </th>\n",
        "      <td>  54.0</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1326.780</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>946 </th>\n",
        "      <td>  54.2</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1331.694</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>947 </th>\n",
        "      <td>  55.0</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1351.350</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>948 </th>\n",
        "      <td>  55.8</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1371.006</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>949 </th>\n",
        "      <td>  56.2</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1380.834</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>950 </th>\n",
        "      <td>  56.1</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1378.377</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>951 </th>\n",
        "      <td>  55.1</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1353.807</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>952 </th>\n",
        "      <td>  52.7</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1663.739</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>953 </th>\n",
        "      <td>  48.4</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1527.988</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>954 </th>\n",
        "      <td>  43.1</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1360.667</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>955 </th>\n",
        "      <td>  37.8</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1954.260</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>956 </th>\n",
        "      <td>  32.5</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1680.250</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>957 </th>\n",
        "      <td>  27.2</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1406.240</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>958 </th>\n",
        "      <td>  25.1</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1297.670</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>959 </th>\n",
        "      <td>  26.0</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1344.200</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>960 </th>\n",
        "      <td>  29.3</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1514.810</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>961 </th>\n",
        "      <td>  34.6</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1417.216</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>962 </th>\n",
        "      <td>  40.4</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1654.784</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>963 </th>\n",
        "      <td>  45.3</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1855.488</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>964 </th>\n",
        "      <td>  49.0</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1546.930</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>965 </th>\n",
        "      <td>  51.1</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1613.227</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>966 </th>\n",
        "      <td>  52.1</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1644.797</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>967 </th>\n",
        "      <td>  52.2</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1647.954</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1578.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>968 </th>\n",
        "      <td>  52.1</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1644.797</td>\n",
        "      <td>  51.538460</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1627.069175</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>969 </th>\n",
        "      <td>  51.7</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1632.169</td>\n",
        "      <td>  53.076920</td>\n",
        "      <td>  5</td>\n",
        "      <td> 1675.638351</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>970 </th>\n",
        "      <td>  50.9</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1606.913</td>\n",
        "      <td>  54.615379</td>\n",
        "      <td>  6</td>\n",
        "      <td> 1341.899870</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>971 </th>\n",
        "      <td>  49.2</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1553.244</td>\n",
        "      <td>  56.153839</td>\n",
        "      <td>  6</td>\n",
        "      <td> 1379.699827</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>972 </th>\n",
        "      <td>  45.9</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1449.063</td>\n",
        "      <td>  57.692299</td>\n",
        "      <td>  6</td>\n",
        "      <td> 1417.499784</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>973 </th>\n",
        "      <td>  40.6</td>\n",
        "      <td> 2</td>\n",
        "      <td> 3122.952</td>\n",
        "      <td>  59.230759</td>\n",
        "      <td>  6</td>\n",
        "      <td> 1455.299741</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>974 </th>\n",
        "      <td>  35.3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 2715.276</td>\n",
        "      <td>  60.769218</td>\n",
        "      <td>  6</td>\n",
        "      <td> 1493.099697</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>975 </th>\n",
        "      <td>  30.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 2307.600</td>\n",
        "      <td>  62.307678</td>\n",
        "      <td>  6</td>\n",
        "      <td> 1530.899654</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>976 </th>\n",
        "      <td>  24.7</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1899.924</td>\n",
        "      <td>  63.846142</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1315.868983</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>977 </th>\n",
        "      <td>  19.3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1484.556</td>\n",
        "      <td>  65.384598</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1347.576560</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>978 </th>\n",
        "      <td>  16.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1230.720</td>\n",
        "      <td>  66.923058</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1379.284216</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>979 </th>\n",
        "      <td>  13.2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1015.344</td>\n",
        "      <td>  68.461517</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1410.991872</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>980 </th>\n",
        "      <td>  10.7</td>\n",
        "      <td> 2</td>\n",
        "      <td>  823.044</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>981 </th>\n",
        "      <td>   8.8</td>\n",
        "      <td> 0</td>\n",
        "      <td>  144.232</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>982 </th>\n",
        "      <td>   7.2</td>\n",
        "      <td> 0</td>\n",
        "      <td>  118.008</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>983 </th>\n",
        "      <td>   5.5</td>\n",
        "      <td> 0</td>\n",
        "      <td>   90.145</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>984 </th>\n",
        "      <td>   3.2</td>\n",
        "      <td> 0</td>\n",
        "      <td>   52.448</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>985 </th>\n",
        "      <td>   1.1</td>\n",
        "      <td> 0</td>\n",
        "      <td>   18.029</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>986 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>987 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>988 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>989 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>990 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>991 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>992 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>993 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>994 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>995 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>996 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>997 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>998 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>999 </th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1000</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1001</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1002</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1003</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1004</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1005</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1006</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1007</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1008</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1009</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1010</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1011</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1012</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1013</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1014</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1015</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1016</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1017</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1018</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1019</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1020</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1021</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1022</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1023</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1024</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1025</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1026</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1027</th>\n",
        "      <td>   0.8</td>\n",
        "      <td> 1</td>\n",
        "      <td>   92.200</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1028</th>\n",
        "      <td>   3.6</td>\n",
        "      <td> 1</td>\n",
        "      <td>  414.900</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1029</th>\n",
        "      <td>   8.6</td>\n",
        "      <td> 1</td>\n",
        "      <td>  991.150</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1030</th>\n",
        "      <td>  14.6</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1123.032</td>\n",
        "      <td>  70.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1442.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1031</th>\n",
        "      <td>  20.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1538.400</td>\n",
        "      <td>  70.857140</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1460.365647</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1032</th>\n",
        "      <td>  24.4</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1876.848</td>\n",
        "      <td>  71.714279</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1478.031294</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1033</th>\n",
        "      <td>  28.2</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1457.940</td>\n",
        "      <td>  72.571419</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1495.696941</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1034</th>\n",
        "      <td>  31.7</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1638.890</td>\n",
        "      <td>  73.428558</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1513.362588</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1035</th>\n",
        "      <td>  35.0</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1809.500</td>\n",
        "      <td>  74.285698</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1531.028235</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1036</th>\n",
        "      <td>  37.6</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1540.096</td>\n",
        "      <td>  75.142838</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1548.693881</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1037</th>\n",
        "      <td>  39.7</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1626.112</td>\n",
        "      <td>  75.999977</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1566.359528</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1038</th>\n",
        "      <td>  41.5</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1699.840</td>\n",
        "      <td>  76.857117</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1584.025175</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1039</th>\n",
        "      <td>  43.6</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1376.452</td>\n",
        "      <td>  77.714256</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1601.690822</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1040</th>\n",
        "      <td>  46.0</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1452.220</td>\n",
        "      <td>  78.571404</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1619.356626</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1041</th>\n",
        "      <td>  48.4</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1527.988</td>\n",
        "      <td>  79.428543</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1637.022273</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1042</th>\n",
        "      <td>  50.5</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1594.285</td>\n",
        "      <td>  80.285683</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1315.882339</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1043</th>\n",
        "      <td>  51.9</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1638.483</td>\n",
        "      <td>  81.142822</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1329.930857</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1044</th>\n",
        "      <td>  52.6</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1660.582</td>\n",
        "      <td>  81.999962</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1343.979375</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1045</th>\n",
        "      <td>  52.8</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1666.896</td>\n",
        "      <td>  82.857101</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1358.027893</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1046</th>\n",
        "      <td>  52.9</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1670.053</td>\n",
        "      <td>  83.714241</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1372.076410</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1047</th>\n",
        "      <td>  53.1</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1676.367</td>\n",
        "      <td>  84.571381</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1386.124928</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1048</th>\n",
        "      <td>  53.3</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1682.681</td>\n",
        "      <td>  85.428520</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1400.173446</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1049</th>\n",
        "      <td>  53.1</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1676.367</td>\n",
        "      <td>  86.285660</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1414.221964</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1050</th>\n",
        "      <td>  52.3</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1651.111</td>\n",
        "      <td>  87.142799</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1428.270482</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1051</th>\n",
        "      <td>  50.7</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1600.599</td>\n",
        "      <td>  87.999939</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1442.319000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1052</th>\n",
        "      <td>  48.8</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1540.616</td>\n",
        "      <td>  88.857079</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1456.367517</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1053</th>\n",
        "      <td>  46.5</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1468.005</td>\n",
        "      <td>  89.714218</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1470.416035</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1054</th>\n",
        "      <td>  43.8</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1382.766</td>\n",
        "      <td>  90.571358</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1484.464553</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1055</th>\n",
        "      <td>  40.3</td>\n",
        "      <td> 3</td>\n",
        "      <td> 2083.510</td>\n",
        "      <td>  91.428497</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1498.513071</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1056</th>\n",
        "      <td>  36.0</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1861.200</td>\n",
        "      <td>  92.285637</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1512.561589</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1057</th>\n",
        "      <td>  30.7</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1587.190</td>\n",
        "      <td>  93.142776</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1526.610107</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1058</th>\n",
        "      <td>  25.4</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1313.180</td>\n",
        "      <td>  93.999924</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1540.658750</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1059</th>\n",
        "      <td>  21.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1615.320</td>\n",
        "      <td>  94.857063</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1554.707267</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1060</th>\n",
        "      <td>  16.7</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1284.564</td>\n",
        "      <td>  95.714203</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1568.755785</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1061</th>\n",
        "      <td>  13.4</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1030.728</td>\n",
        "      <td>  96.571342</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1582.804303</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1062</th>\n",
        "      <td>  12.0</td>\n",
        "      <td> 2</td>\n",
        "      <td>  923.040</td>\n",
        "      <td>  97.428482</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1596.852821</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1063</th>\n",
        "      <td>  12.1</td>\n",
        "      <td> 2</td>\n",
        "      <td>  930.732</td>\n",
        "      <td>  98.285622</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1610.901339</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1064</th>\n",
        "      <td>  12.8</td>\n",
        "      <td> 2</td>\n",
        "      <td>  984.576</td>\n",
        "      <td>  99.142761</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1624.949857</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1065</th>\n",
        "      <td>  15.6</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1199.952</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1639.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1066</th>\n",
        "      <td>  19.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1530.708</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1639.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1067</th>\n",
        "      <td>  23.4</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1799.928</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1639.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1068</th>\n",
        "      <td>  24.6</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1892.232</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1639.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1069</th>\n",
        "      <td>  25.2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1938.384</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1639.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1070</th>\n",
        "      <td>  26.4</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1364.880</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1639.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1071</th>\n",
        "      <td>  28.8</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1488.960</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1639.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1072</th>\n",
        "      <td>  31.8</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1644.060</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1639.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1073</th>\n",
        "      <td>  35.3</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1445.888</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1639.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1074</th>\n",
        "      <td>  39.5</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1617.920</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1639.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1075</th>\n",
        "      <td>  44.5</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1822.720</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1639.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1076</th>\n",
        "      <td>  49.3</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1556.401</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1639.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1077</th>\n",
        "      <td>  53.3</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1682.681</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1639.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1078</th>\n",
        "      <td>  56.4</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1780.548</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1639.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1079</th>\n",
        "      <td>  58.9</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1447.173</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1639.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1080</th>\n",
        "      <td>  61.2</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1503.684</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1639.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1081</th>\n",
        "      <td>  62.6</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1538.082</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1639.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1082</th>\n",
        "      <td>  63.0</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1547.910</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1639.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1083</th>\n",
        "      <td>  62.5</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1535.625</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1639.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1084</th>\n",
        "      <td>  60.9</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1496.313</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1639.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1085</th>\n",
        "      <td>  59.3</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1457.001</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1639.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1086</th>\n",
        "      <td>  58.6</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1439.802</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1639.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1087</th>\n",
        "      <td>  58.6</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1439.802</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1639.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1088</th>\n",
        "      <td>  58.7</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1442.259</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1639.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1089</th>\n",
        "      <td>  58.8</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1444.716</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1639.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1090</th>\n",
        "      <td>  58.8</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1444.716</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1639.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1091</th>\n",
        "      <td>  58.8</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1444.716</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1639.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1092</th>\n",
        "      <td>  59.1</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1452.087</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1639.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1093</th>\n",
        "      <td>  60.1</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1476.657</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1639.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1094</th>\n",
        "      <td>  61.7</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1515.969</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1639.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1095</th>\n",
        "      <td>  63.0</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1547.910</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1639.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1096</th>\n",
        "      <td>  63.7</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1565.109</td>\n",
        "      <td> 101.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1655.390000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1097</th>\n",
        "      <td>  63.9</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1570.023</td>\n",
        "      <td> 102.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1671.780000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1098</th>\n",
        "      <td>  63.5</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1560.195</td>\n",
        "      <td> 103.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1688.170000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1099</th>\n",
        "      <td>  62.3</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1530.711</td>\n",
        "      <td> 104.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1704.560000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1100</th>\n",
        "      <td>  60.3</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1481.571</td>\n",
        "      <td> 105.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1720.950000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1101</th>\n",
        "      <td>  58.9</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1447.173</td>\n",
        "      <td> 106.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1737.340000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1102</th>\n",
        "      <td>  58.4</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1434.888</td>\n",
        "      <td> 107.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1753.730000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1103</th>\n",
        "      <td>  58.8</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1444.716</td>\n",
        "      <td> 108.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1770.120000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1104</th>\n",
        "      <td>  60.2</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1479.114</td>\n",
        "      <td> 109.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1786.510000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1105</th>\n",
        "      <td>  62.3</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1530.711</td>\n",
        "      <td> 110.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1802.900000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1106</th>\n",
        "      <td>  63.9</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1570.023</td>\n",
        "      <td> 111.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1819.290000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1107</th>\n",
        "      <td>  64.5</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1584.765</td>\n",
        "      <td> 112.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1835.680000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1108</th>\n",
        "      <td>  64.4</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1582.308</td>\n",
        "      <td> 113.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1852.070000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1109</th>\n",
        "      <td>  63.5</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1560.195</td>\n",
        "      <td> 114.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1868.460000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1110</th>\n",
        "      <td>  62.0</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1523.340</td>\n",
        "      <td> 115.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1884.850000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1111</th>\n",
        "      <td>  61.2</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1503.684</td>\n",
        "      <td> 116.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1901.240000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1112</th>\n",
        "      <td>  61.3</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1506.141</td>\n",
        "      <td> 117.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1917.630000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1113</th>\n",
        "      <td>  62.6</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1538.082</td>\n",
        "      <td> 118.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1934.020000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1114</th>\n",
        "      <td>  65.3</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1604.421</td>\n",
        "      <td> 119.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1950.410000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1115</th>\n",
        "      <td>  68.0</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1401.480</td>\n",
        "      <td> 120.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1966.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1116</th>\n",
        "      <td>  69.4</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1430.334</td>\n",
        "      <td> 120.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1966.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1117</th>\n",
        "      <td>  69.7</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1436.517</td>\n",
        "      <td> 120.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1966.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1118</th>\n",
        "      <td>  69.3</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1428.273</td>\n",
        "      <td> 120.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1966.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1119</th>\n",
        "      <td>  68.1</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1403.541</td>\n",
        "      <td> 120.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1966.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1120</th>\n",
        "      <td>  66.9</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1378.809</td>\n",
        "      <td> 120.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1966.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1121</th>\n",
        "      <td>  66.2</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1364.382</td>\n",
        "      <td> 120.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1966.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1122</th>\n",
        "      <td>  65.7</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1354.077</td>\n",
        "      <td> 120.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1966.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1123</th>\n",
        "      <td>  64.9</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1337.589</td>\n",
        "      <td> 120.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1966.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1124</th>\n",
        "      <td>  63.2</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1552.824</td>\n",
        "      <td> 120.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1966.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1125</th>\n",
        "      <td>  60.3</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1481.571</td>\n",
        "      <td> 120.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1966.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1126</th>\n",
        "      <td>  55.8</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1371.006</td>\n",
        "      <td> 117.500000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1925.825000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1127</th>\n",
        "      <td>  50.5</td>\n",
        "      <td> 4</td>\n",
        "      <td> 2068.480</td>\n",
        "      <td> 115.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1884.850000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1128</th>\n",
        "      <td>  45.2</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1851.392</td>\n",
        "      <td> 112.500000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1843.875000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1129</th>\n",
        "      <td>  40.1</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1642.496</td>\n",
        "      <td> 110.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1802.900000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1130</th>\n",
        "      <td>  36.2</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1482.752</td>\n",
        "      <td> 107.500000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1761.925000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1131</th>\n",
        "      <td>  32.9</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1347.584</td>\n",
        "      <td> 105.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1720.950000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1132</th>\n",
        "      <td>  29.8</td>\n",
        "      <td> 2</td>\n",
        "      <td> 2292.216</td>\n",
        "      <td> 102.500000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1679.975000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1133</th>\n",
        "      <td>  26.6</td>\n",
        "      <td> 2</td>\n",
        "      <td> 2046.072</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1639.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1134</th>\n",
        "      <td>  23.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1769.160</td>\n",
        "      <td>  97.500000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1598.025000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1135</th>\n",
        "      <td>  19.4</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1492.248</td>\n",
        "      <td>  95.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1557.050000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1136</th>\n",
        "      <td>  16.3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1253.796</td>\n",
        "      <td>  92.500000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1516.075000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1137</th>\n",
        "      <td>  14.6</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1123.032</td>\n",
        "      <td>  90.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1475.100000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1138</th>\n",
        "      <td>  14.2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1092.264</td>\n",
        "      <td>  87.500000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1434.125000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1139</th>\n",
        "      <td>  14.3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1099.956</td>\n",
        "      <td>  85.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1393.150000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1140</th>\n",
        "      <td>  14.6</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1123.032</td>\n",
        "      <td>  82.500000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1352.175000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1141</th>\n",
        "      <td>  15.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1161.492</td>\n",
        "      <td>  80.000000</td>\n",
        "      <td>  8</td>\n",
        "      <td> 1311.200000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1142</th>\n",
        "      <td>  16.4</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1261.488</td>\n",
        "      <td>  76.250000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1571.512500</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1143</th>\n",
        "      <td>  19.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1469.172</td>\n",
        "      <td>  72.500000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1494.225000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1144</th>\n",
        "      <td>  22.5</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1730.700</td>\n",
        "      <td>  68.750000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1416.937500</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1145</th>\n",
        "      <td>  24.4</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1876.848</td>\n",
        "      <td>  65.000000</td>\n",
        "      <td>  7</td>\n",
        "      <td> 1339.650000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1146</th>\n",
        "      <td>  24.8</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1907.616</td>\n",
        "      <td>  61.250000</td>\n",
        "      <td>  6</td>\n",
        "      <td> 1504.912500</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1147</th>\n",
        "      <td>  22.7</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1746.084</td>\n",
        "      <td>  57.500000</td>\n",
        "      <td>  6</td>\n",
        "      <td> 1412.775000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1148</th>\n",
        "      <td>  17.4</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1338.408</td>\n",
        "      <td>  53.750000</td>\n",
        "      <td>  6</td>\n",
        "      <td> 1320.637500</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1149</th>\n",
        "      <td>  13.8</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1061.496</td>\n",
        "      <td>  50.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 2048.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1150</th>\n",
        "      <td>  12.0</td>\n",
        "      <td> 2</td>\n",
        "      <td>  923.040</td>\n",
        "      <td>  45.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1843.200000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1151</th>\n",
        "      <td>  12.0</td>\n",
        "      <td> 2</td>\n",
        "      <td>  923.040</td>\n",
        "      <td>  40.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1638.400000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1152</th>\n",
        "      <td>  12.0</td>\n",
        "      <td> 2</td>\n",
        "      <td>  923.040</td>\n",
        "      <td>  35.000000</td>\n",
        "      <td>  4</td>\n",
        "      <td> 1433.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1153</th>\n",
        "      <td>  13.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1069.188</td>\n",
        "      <td>  30.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 2307.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1154</th>\n",
        "      <td>  17.7</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1361.484</td>\n",
        "      <td>  25.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1923.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1155</th>\n",
        "      <td>  22.8</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1753.776</td>\n",
        "      <td>  20.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1538.400000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1156</th>\n",
        "      <td>  27.3</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1411.410</td>\n",
        "      <td>  15.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td> 1153.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1157</th>\n",
        "      <td>  31.2</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1613.040</td>\n",
        "      <td>  10.000000</td>\n",
        "      <td>  2</td>\n",
        "      <td>  769.200000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1158</th>\n",
        "      <td>  35.2</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1819.840</td>\n",
        "      <td>   5.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>   81.950000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1159</th>\n",
        "      <td>  39.4</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1613.824</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1160</th>\n",
        "      <td>  42.5</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1740.800</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1161</th>\n",
        "      <td>  45.4</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1859.584</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1162</th>\n",
        "      <td>  48.2</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1521.674</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1163</th>\n",
        "      <td>  50.3</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1587.971</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1164</th>\n",
        "      <td>  52.6</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1660.582</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1165</th>\n",
        "      <td>  54.5</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1339.065</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1166</th>\n",
        "      <td>  56.6</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1390.662</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1167</th>\n",
        "      <td>  58.3</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1432.431</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1168</th>\n",
        "      <td>  60.0</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1474.200</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1169</th>\n",
        "      <td>  61.5</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1511.055</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1170</th>\n",
        "      <td>  63.1</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1550.367</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1171</th>\n",
        "      <td>  64.3</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1325.223</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1172</th>\n",
        "      <td>  65.7</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1354.077</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1173</th>\n",
        "      <td>  67.1</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1382.931</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1174</th>\n",
        "      <td>  68.3</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1407.663</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1175</th>\n",
        "      <td>  69.7</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1436.517</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1176</th>\n",
        "      <td>  70.6</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1455.066</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1177</th>\n",
        "      <td>  71.6</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1475.676</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1178</th>\n",
        "      <td>  72.6</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1496.286</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1179</th>\n",
        "      <td>  73.5</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1514.835</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>  0</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1180</th>\n",
        "      <td>  74.2</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1529.262</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1181</th>\n",
        "      <td>  74.9</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1543.689</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1182</th>\n",
        "      <td>  75.6</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1558.116</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1183</th>\n",
        "      <td>  76.3</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1572.543</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1184</th>\n",
        "      <td>  77.1</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1589.031</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1185</th>\n",
        "      <td>  77.9</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1605.519</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1186</th>\n",
        "      <td>  78.5</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1617.885</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1187</th>\n",
        "      <td>  79.0</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1628.190</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1188</th>\n",
        "      <td>  79.7</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1642.617</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1189</th>\n",
        "      <td>  80.3</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1316.117</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1190</th>\n",
        "      <td>  81.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1327.590</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1191</th>\n",
        "      <td>  81.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1337.424</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1192</th>\n",
        "      <td>  82.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1350.536</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1193</th>\n",
        "      <td>  82.9</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1358.731</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1194</th>\n",
        "      <td>  83.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1366.926</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1195</th>\n",
        "      <td>  83.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1373.482</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1196</th>\n",
        "      <td>  84.2</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1380.038</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1197</th>\n",
        "      <td>  84.7</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1388.233</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1198</th>\n",
        "      <td>  85.2</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1396.428</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1199</th>\n",
        "      <td>  85.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1402.984</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1200</th>\n",
        "      <td>  86.3</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1414.457</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1201</th>\n",
        "      <td>  86.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1422.652</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1202</th>\n",
        "      <td>  87.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1432.486</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1203</th>\n",
        "      <td>  88.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1442.320</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1204</th>\n",
        "      <td>  88.3</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1447.237</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1205</th>\n",
        "      <td>  88.7</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1453.793</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1206</th>\n",
        "      <td>  89.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1458.710</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1207</th>\n",
        "      <td>  89.3</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1463.627</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1208</th>\n",
        "      <td>  89.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1471.822</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1209</th>\n",
        "      <td>  90.2</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1478.378</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1210</th>\n",
        "      <td>  90.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1484.934</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1211</th>\n",
        "      <td>  91.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1491.490</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1212</th>\n",
        "      <td>  91.3</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1496.407</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1213</th>\n",
        "      <td>  91.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1501.324</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1214</th>\n",
        "      <td>  91.9</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1506.241</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1215</th>\n",
        "      <td>  92.2</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1511.158</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1216</th>\n",
        "      <td>  92.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1520.992</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1217</th>\n",
        "      <td>  93.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1525.909</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1218</th>\n",
        "      <td>  93.3</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1529.187</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1219</th>\n",
        "      <td>  93.5</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1532.465</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1220</th>\n",
        "      <td>  93.7</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1535.743</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1221</th>\n",
        "      <td>  93.9</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1539.021</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1222</th>\n",
        "      <td>  94.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1540.660</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1223</th>\n",
        "      <td>  94.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1542.299</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1224</th>\n",
        "      <td>  94.3</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1545.577</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1225</th>\n",
        "      <td>  94.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1547.216</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1226</th>\n",
        "      <td>  94.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1550.494</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1227</th>\n",
        "      <td>  94.7</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1552.133</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1228</th>\n",
        "      <td>  94.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1553.772</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1229</th>\n",
        "      <td>  95.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1557.050</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1230</th>\n",
        "      <td>  95.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1558.689</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1231</th>\n",
        "      <td>  95.3</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1561.967</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1232</th>\n",
        "      <td>  95.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1563.606</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1233</th>\n",
        "      <td>  95.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1566.884</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1234</th>\n",
        "      <td>  95.7</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1568.523</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1235</th>\n",
        "      <td>  95.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1570.162</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1236</th>\n",
        "      <td>  96.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1573.440</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1237</th>\n",
        "      <td>  96.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1575.079</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1238</th>\n",
        "      <td>  96.3</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1578.357</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1239</th>\n",
        "      <td>  96.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1579.996</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1240</th>\n",
        "      <td>  96.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1583.274</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1241</th>\n",
        "      <td>  96.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1586.552</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1242</th>\n",
        "      <td>  97.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1589.830</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1243</th>\n",
        "      <td>  97.2</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1593.108</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1244</th>\n",
        "      <td>  97.3</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1594.747</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1245</th>\n",
        "      <td>  97.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1596.386</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1246</th>\n",
        "      <td>  97.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1596.386</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1247</th>\n",
        "      <td>  97.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1596.386</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1248</th>\n",
        "      <td>  97.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1596.386</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1249</th>\n",
        "      <td>  97.3</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1594.747</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1250</th>\n",
        "      <td>  97.3</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1594.747</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1251</th>\n",
        "      <td>  97.3</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1594.747</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1252</th>\n",
        "      <td>  97.3</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1594.747</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1253</th>\n",
        "      <td>  97.2</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1593.108</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1254</th>\n",
        "      <td>  97.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1591.469</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1255</th>\n",
        "      <td>  97.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1589.830</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1256</th>\n",
        "      <td>  96.9</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1588.191</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1257</th>\n",
        "      <td>  96.7</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1584.913</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1258</th>\n",
        "      <td>  96.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1579.996</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1259</th>\n",
        "      <td>  96.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1575.079</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1260</th>\n",
        "      <td>  95.7</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1568.523</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1261</th>\n",
        "      <td>  95.5</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1565.245</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1262</th>\n",
        "      <td>  95.3</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1561.967</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1263</th>\n",
        "      <td>  95.2</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1560.328</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1264</th>\n",
        "      <td>  95.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1557.050</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1265</th>\n",
        "      <td>  94.9</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1555.411</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1266</th>\n",
        "      <td>  94.7</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1552.133</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1267</th>\n",
        "      <td>  94.5</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1548.855</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1268</th>\n",
        "      <td>  94.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1547.216</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1269</th>\n",
        "      <td>  94.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1547.216</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1270</th>\n",
        "      <td>  94.3</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1545.577</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1271</th>\n",
        "      <td>  94.3</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1545.577</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1272</th>\n",
        "      <td>  94.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1542.299</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1273</th>\n",
        "      <td>  93.9</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1539.021</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1274</th>\n",
        "      <td>  93.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1530.826</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1275</th>\n",
        "      <td>  92.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1520.992</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1276</th>\n",
        "      <td>  92.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1507.880</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1277</th>\n",
        "      <td>  91.3</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1496.407</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1278</th>\n",
        "      <td>  90.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1484.934</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1279</th>\n",
        "      <td>  90.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1475.100</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1280</th>\n",
        "      <td>  89.3</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1463.627</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1281</th>\n",
        "      <td>  88.7</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1453.793</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1282</th>\n",
        "      <td>  88.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1443.959</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1283</th>\n",
        "      <td>  87.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1432.486</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1284</th>\n",
        "      <td>  86.7</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1421.013</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1285</th>\n",
        "      <td>  86.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1409.540</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1286</th>\n",
        "      <td>  85.3</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1398.067</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1287</th>\n",
        "      <td>  84.7</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1388.233</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1288</th>\n",
        "      <td>  84.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1378.399</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1289</th>\n",
        "      <td>  83.5</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1368.565</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1290</th>\n",
        "      <td>  82.9</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1358.731</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1291</th>\n",
        "      <td>  82.3</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1348.897</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1292</th>\n",
        "      <td>  81.7</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1339.063</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1293</th>\n",
        "      <td>  81.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1329.229</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1294</th>\n",
        "      <td>  80.5</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1319.395</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1295</th>\n",
        "      <td>  79.9</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1309.561</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1296</th>\n",
        "      <td>  79.4</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1636.434</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1297</th>\n",
        "      <td>  79.1</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1630.251</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1298</th>\n",
        "      <td>  78.8</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1624.068</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1299</th>\n",
        "      <td>  78.5</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1617.885</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1300</th>\n",
        "      <td>  78.2</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1611.702</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1301</th>\n",
        "      <td>  77.9</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1605.519</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1302</th>\n",
        "      <td>  77.6</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1599.336</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1303</th>\n",
        "      <td>  77.3</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1593.153</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1304</th>\n",
        "      <td>  77.0</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1586.970</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1305</th>\n",
        "      <td>  76.7</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1580.787</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1306</th>\n",
        "      <td>  76.0</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1566.360</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1307</th>\n",
        "      <td>  76.0</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1566.360</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1308</th>\n",
        "      <td>  76.0</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1566.360</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1309</th>\n",
        "      <td>  75.9</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1564.299</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1310</th>\n",
        "      <td>  75.9</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1564.299</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1311</th>\n",
        "      <td>  75.8</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1562.238</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1312</th>\n",
        "      <td>  75.7</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1560.177</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1313</th>\n",
        "      <td>  75.5</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1556.055</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1314</th>\n",
        "      <td>  75.2</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1549.872</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1315</th>\n",
        "      <td>  75.0</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1545.750</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1316</th>\n",
        "      <td>  74.7</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1539.567</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1317</th>\n",
        "      <td>  74.1</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1527.201</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1318</th>\n",
        "      <td>  73.7</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1518.957</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1319</th>\n",
        "      <td>  73.3</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1510.713</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1320</th>\n",
        "      <td>  73.5</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1514.835</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1321</th>\n",
        "      <td>  74.0</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1525.140</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1322</th>\n",
        "      <td>  74.9</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1543.689</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1323</th>\n",
        "      <td>  76.1</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1568.421</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1324</th>\n",
        "      <td>  77.7</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1601.397</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1325</th>\n",
        "      <td>  79.2</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1632.312</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1326</th>\n",
        "      <td>  80.3</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1316.117</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1327</th>\n",
        "      <td>  80.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1324.312</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1328</th>\n",
        "      <td>  81.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1327.590</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1329</th>\n",
        "      <td>  81.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1327.590</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1330</th>\n",
        "      <td>  81.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1327.590</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1331</th>\n",
        "      <td>  81.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1327.590</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1332</th>\n",
        "      <td>  81.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1327.590</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1333</th>\n",
        "      <td>  80.9</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1325.951</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1334</th>\n",
        "      <td>  80.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1321.034</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1335</th>\n",
        "      <td>  80.3</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1316.117</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1336</th>\n",
        "      <td>  80.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1311.200</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1337</th>\n",
        "      <td>  79.9</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1309.561</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1338</th>\n",
        "      <td>  79.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1307.922</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1339</th>\n",
        "      <td>  79.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1307.922</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1340</th>\n",
        "      <td>  79.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1307.922</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1341</th>\n",
        "      <td>  79.9</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1309.561</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1342</th>\n",
        "      <td>  80.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1311.200</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1343</th>\n",
        "      <td>  80.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1317.756</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1344</th>\n",
        "      <td>  80.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1324.312</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1345</th>\n",
        "      <td>  81.2</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1330.868</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1346</th>\n",
        "      <td>  81.5</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1335.785</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1347</th>\n",
        "      <td>  81.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1337.424</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1348</th>\n",
        "      <td>  81.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1337.424</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1349</th>\n",
        "      <td>  81.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1334.146</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1350</th>\n",
        "      <td>  80.7</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1322.673</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1351</th>\n",
        "      <td>  79.6</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1640.556</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1352</th>\n",
        "      <td>  78.2</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1611.702</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1353</th>\n",
        "      <td>  76.8</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1582.848</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1354</th>\n",
        "      <td>  75.3</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1551.933</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1355</th>\n",
        "      <td>  73.8</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1521.018</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1356</th>\n",
        "      <td>  72.1</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1485.981</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1357</th>\n",
        "      <td>  70.2</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1446.822</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1358</th>\n",
        "      <td>  68.2</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1405.602</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1359</th>\n",
        "      <td>  66.1</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1362.321</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1360</th>\n",
        "      <td>  63.8</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1314.918</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1361</th>\n",
        "      <td>  61.6</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1513.512</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1362</th>\n",
        "      <td>  60.2</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1479.114</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1363</th>\n",
        "      <td>  59.8</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1469.286</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1364</th>\n",
        "      <td>  60.4</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1484.028</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1365</th>\n",
        "      <td>  61.8</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1518.426</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1366</th>\n",
        "      <td>  62.6</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1538.082</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1367</th>\n",
        "      <td>  62.7</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1540.539</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1368</th>\n",
        "      <td>  61.9</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1520.883</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1369</th>\n",
        "      <td>  60.0</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1474.200</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1370</th>\n",
        "      <td>  58.4</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1434.888</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1371</th>\n",
        "      <td>  57.8</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1420.146</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1372</th>\n",
        "      <td>  57.8</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1420.146</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1373</th>\n",
        "      <td>  57.8</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1420.146</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1374</th>\n",
        "      <td>  57.3</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1407.861</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1375</th>\n",
        "      <td>  56.2</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1380.834</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1376</th>\n",
        "      <td>  54.3</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1334.151</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1377</th>\n",
        "      <td>  50.8</td>\n",
        "      <td> 4</td>\n",
        "      <td> 2080.768</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1378</th>\n",
        "      <td>  45.5</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1863.680</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1379</th>\n",
        "      <td>  40.2</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1646.592</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1380</th>\n",
        "      <td>  34.9</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1429.504</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1381</th>\n",
        "      <td>  29.6</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1530.320</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1382</th>\n",
        "      <td>  27.3</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1411.410</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1383</th>\n",
        "      <td>  29.3</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1514.810</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1384</th>\n",
        "      <td>  32.9</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1347.584</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1385</th>\n",
        "      <td>  35.6</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1458.176</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1386</th>\n",
        "      <td>  36.7</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1503.232</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1387</th>\n",
        "      <td>  37.6</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1540.096</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1388</th>\n",
        "      <td>  39.4</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1613.824</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1389</th>\n",
        "      <td>  42.5</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1341.725</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1390</th>\n",
        "      <td>  46.5</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1468.005</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1391</th>\n",
        "      <td>  50.2</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1584.814</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1392</th>\n",
        "      <td>  52.8</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1666.896</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1393</th>\n",
        "      <td>  54.3</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1714.251</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1394</th>\n",
        "      <td>  54.9</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1733.193</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1395</th>\n",
        "      <td>  54.9</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1733.193</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1396</th>\n",
        "      <td>  54.7</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1726.879</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1397</th>\n",
        "      <td>  54.1</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1707.937</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1398</th>\n",
        "      <td>  53.2</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1679.524</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1399</th>\n",
        "      <td>  52.1</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1644.797</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1400</th>\n",
        "      <td>  50.7</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1600.599</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1401</th>\n",
        "      <td>  49.1</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1550.087</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1402</th>\n",
        "      <td>  47.4</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1496.418</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1403</th>\n",
        "      <td>  45.2</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1426.964</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1404</th>\n",
        "      <td>  41.8</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1319.626</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1405</th>\n",
        "      <td>  36.5</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1887.050</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1406</th>\n",
        "      <td>  31.2</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1613.040</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1407</th>\n",
        "      <td>  27.6</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1426.920</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1408</th>\n",
        "      <td>  26.9</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1390.730</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1409</th>\n",
        "      <td>  27.3</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1411.410</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1410</th>\n",
        "      <td>  27.5</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1421.750</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1411</th>\n",
        "      <td>  27.4</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1416.580</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1412</th>\n",
        "      <td>  27.1</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1401.070</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1413</th>\n",
        "      <td>  26.7</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1380.390</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1414</th>\n",
        "      <td>  26.8</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1385.560</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1415</th>\n",
        "      <td>  28.2</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1457.940</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1416</th>\n",
        "      <td>  31.1</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1607.870</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1417</th>\n",
        "      <td>  34.8</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1425.408</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1418</th>\n",
        "      <td>  38.4</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1572.864</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1419</th>\n",
        "      <td>  40.9</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1675.264</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1420</th>\n",
        "      <td>  41.7</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1708.032</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1421</th>\n",
        "      <td>  40.9</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1675.264</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1422</th>\n",
        "      <td>  38.3</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1568.768</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1423</th>\n",
        "      <td>  35.3</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1445.888</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1424</th>\n",
        "      <td>  34.3</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1404.928</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1425</th>\n",
        "      <td>  34.6</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1417.216</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1426</th>\n",
        "      <td>  36.3</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1486.848</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1427</th>\n",
        "      <td>  39.5</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1617.920</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1428</th>\n",
        "      <td>  41.8</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1712.128</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1429</th>\n",
        "      <td>  42.5</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1740.800</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1430</th>\n",
        "      <td>  41.9</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1716.224</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1431</th>\n",
        "      <td>  40.1</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1642.496</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1432</th>\n",
        "      <td>  36.6</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1499.136</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1433</th>\n",
        "      <td>  31.3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 2407.596</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1434</th>\n",
        "      <td>  26.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1999.920</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1435</th>\n",
        "      <td>  20.6</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1584.552</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1436</th>\n",
        "      <td>  19.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1469.172</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1437</th>\n",
        "      <td>  19.7</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1515.324</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1438</th>\n",
        "      <td>  21.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1623.012</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1439</th>\n",
        "      <td>  22.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1692.240</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1440</th>\n",
        "      <td>  22.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1699.932</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1441</th>\n",
        "      <td>  21.4</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1646.088</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1442</th>\n",
        "      <td>  19.6</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1507.632</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1443</th>\n",
        "      <td>  18.3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1407.636</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1444</th>\n",
        "      <td>  18.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1384.560</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1445</th>\n",
        "      <td>  18.3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1407.636</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1446</th>\n",
        "      <td>  18.5</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1423.020</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1447</th>\n",
        "      <td>  17.9</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1376.868</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1448</th>\n",
        "      <td>  15.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1153.800</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1449</th>\n",
        "      <td>   9.9</td>\n",
        "      <td> 2</td>\n",
        "      <td>  761.508</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1450</th>\n",
        "      <td>   4.6</td>\n",
        "      <td> 0</td>\n",
        "      <td>   75.394</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1451</th>\n",
        "      <td>   1.2</td>\n",
        "      <td> 0</td>\n",
        "      <td>   19.668</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1452</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1453</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1454</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1455</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1456</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1457</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1458</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1459</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1460</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1461</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1462</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1463</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1464</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1465</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1466</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1467</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1468</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1469</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1470</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1471</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1472</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1473</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1474</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1475</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1476</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1477</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1478</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 1</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1479</th>\n",
        "      <td>   2.2</td>\n",
        "      <td> 1</td>\n",
        "      <td>  253.550</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1480</th>\n",
        "      <td>   4.4</td>\n",
        "      <td> 1</td>\n",
        "      <td>  507.100</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1481</th>\n",
        "      <td>   6.3</td>\n",
        "      <td> 1</td>\n",
        "      <td>  726.075</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1482</th>\n",
        "      <td>   7.9</td>\n",
        "      <td> 1</td>\n",
        "      <td>  910.475</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1483</th>\n",
        "      <td>   9.2</td>\n",
        "      <td> 2</td>\n",
        "      <td>  707.664</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1484</th>\n",
        "      <td>  10.4</td>\n",
        "      <td> 2</td>\n",
        "      <td>  799.968</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1485</th>\n",
        "      <td>  11.5</td>\n",
        "      <td> 2</td>\n",
        "      <td>  884.580</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1486</th>\n",
        "      <td>  12.9</td>\n",
        "      <td> 2</td>\n",
        "      <td>  992.268</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1487</th>\n",
        "      <td>  14.7</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1130.724</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1488</th>\n",
        "      <td>  17.0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1307.640</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1489</th>\n",
        "      <td>  19.8</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1523.016</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1490</th>\n",
        "      <td>  23.1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1776.852</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1491</th>\n",
        "      <td>  26.7</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1380.390</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1492</th>\n",
        "      <td>  30.5</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1576.850</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1493</th>\n",
        "      <td>  34.1</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1762.970</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1494</th>\n",
        "      <td>  37.5</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1536.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1495</th>\n",
        "      <td>  40.6</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1662.976</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1496</th>\n",
        "      <td>  43.3</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1773.568</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1497</th>\n",
        "      <td>  45.7</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1442.749</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1498</th>\n",
        "      <td>  47.7</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1505.889</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1499</th>\n",
        "      <td>  49.3</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1556.401</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1500</th>\n",
        "      <td>  50.5</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1594.285</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1501</th>\n",
        "      <td>  51.3</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1619.541</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1502</th>\n",
        "      <td>  52.1</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1644.797</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1503</th>\n",
        "      <td>  52.7</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1663.739</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1504</th>\n",
        "      <td>  53.4</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1312.038</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1505</th>\n",
        "      <td>  54.0</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1326.780</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1506</th>\n",
        "      <td>  54.5</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1339.065</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1507</th>\n",
        "      <td>  55.0</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1351.350</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1508</th>\n",
        "      <td>  55.6</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1366.092</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1509</th>\n",
        "      <td>  56.3</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1383.291</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1510</th>\n",
        "      <td>  57.2</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1405.404</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1511</th>\n",
        "      <td>  58.5</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1437.345</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1512</th>\n",
        "      <td>  60.2</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1479.114</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1513</th>\n",
        "      <td>  62.3</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1530.711</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1514</th>\n",
        "      <td>  64.7</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1589.679</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1515</th>\n",
        "      <td>  67.1</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1382.931</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1516</th>\n",
        "      <td>  69.2</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1426.212</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1517</th>\n",
        "      <td>  70.7</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1457.127</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1518</th>\n",
        "      <td>  71.9</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1481.859</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1519</th>\n",
        "      <td>  72.7</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1498.347</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1520</th>\n",
        "      <td>  73.4</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1512.774</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1521</th>\n",
        "      <td>  73.8</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1521.018</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1522</th>\n",
        "      <td>  74.1</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1527.201</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1523</th>\n",
        "      <td>  74.0</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1525.140</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1524</th>\n",
        "      <td>  73.6</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1516.896</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1525</th>\n",
        "      <td>  72.5</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1494.225</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1526</th>\n",
        "      <td>  70.8</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1459.188</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1527</th>\n",
        "      <td>  68.6</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1413.846</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1528</th>\n",
        "      <td>  66.2</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1364.382</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1529</th>\n",
        "      <td>  64.0</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1319.040</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1530</th>\n",
        "      <td>  62.2</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1528.254</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1531</th>\n",
        "      <td>  60.9</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1496.313</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1532</th>\n",
        "      <td>  60.2</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1479.114</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1533</th>\n",
        "      <td>  60.0</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1894.200</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1534</th>\n",
        "      <td>  60.4</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1906.828</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1535</th>\n",
        "      <td>  61.4</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1938.398</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1536</th>\n",
        "      <td>  63.2</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1995.224</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1537</th>\n",
        "      <td>  65.6</td>\n",
        "      <td> 5</td>\n",
        "      <td> 2070.992</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1538</th>\n",
        "      <td>  68.4</td>\n",
        "      <td> 5</td>\n",
        "      <td> 2159.388</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1539</th>\n",
        "      <td>  71.6</td>\n",
        "      <td> 5</td>\n",
        "      <td> 2260.412</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1540</th>\n",
        "      <td>  74.9</td>\n",
        "      <td> 5</td>\n",
        "      <td> 2364.593</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1541</th>\n",
        "      <td>  78.4</td>\n",
        "      <td> 5</td>\n",
        "      <td> 2475.088</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1542</th>\n",
        "      <td>  81.8</td>\n",
        "      <td> 5</td>\n",
        "      <td> 2582.426</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1543</th>\n",
        "      <td>  84.9</td>\n",
        "      <td> 6</td>\n",
        "      <td> 2085.993</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1544</th>\n",
        "      <td>  87.4</td>\n",
        "      <td> 6</td>\n",
        "      <td> 2147.418</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1545</th>\n",
        "      <td>  89.0</td>\n",
        "      <td> 6</td>\n",
        "      <td> 2186.730</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1546</th>\n",
        "      <td>  90.0</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1854.900</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1547</th>\n",
        "      <td>  90.6</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1867.266</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1548</th>\n",
        "      <td>  91.0</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1875.510</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1549</th>\n",
        "      <td>  91.5</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1885.815</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1550</th>\n",
        "      <td>  92.0</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1896.120</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1551</th>\n",
        "      <td>  92.7</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1910.547</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1552</th>\n",
        "      <td>  93.4</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1924.974</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1553</th>\n",
        "      <td>  94.2</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1941.462</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1554</th>\n",
        "      <td>  94.9</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1955.889</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1555</th>\n",
        "      <td>  95.7</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1972.377</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1556</th>\n",
        "      <td>  96.6</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1990.926</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1557</th>\n",
        "      <td>  97.7</td>\n",
        "      <td> 7</td>\n",
        "      <td> 2013.597</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1558</th>\n",
        "      <td>  98.9</td>\n",
        "      <td> 7</td>\n",
        "      <td> 2038.329</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1559</th>\n",
        "      <td> 100.4</td>\n",
        "      <td> 7</td>\n",
        "      <td> 2069.244</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1560</th>\n",
        "      <td> 102.0</td>\n",
        "      <td> 7</td>\n",
        "      <td> 2102.220</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1561</th>\n",
        "      <td> 103.6</td>\n",
        "      <td> 7</td>\n",
        "      <td> 2135.196</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1562</th>\n",
        "      <td> 105.2</td>\n",
        "      <td> 7</td>\n",
        "      <td> 2168.172</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1563</th>\n",
        "      <td> 106.8</td>\n",
        "      <td> 7</td>\n",
        "      <td> 2201.148</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1564</th>\n",
        "      <td> 108.5</td>\n",
        "      <td> 7</td>\n",
        "      <td> 2236.185</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1565</th>\n",
        "      <td> 110.2</td>\n",
        "      <td> 7</td>\n",
        "      <td> 2271.222</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1566</th>\n",
        "      <td> 111.9</td>\n",
        "      <td> 7</td>\n",
        "      <td> 2306.259</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1567</th>\n",
        "      <td> 113.7</td>\n",
        "      <td> 7</td>\n",
        "      <td> 2343.357</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1568</th>\n",
        "      <td> 115.3</td>\n",
        "      <td> 7</td>\n",
        "      <td> 2376.333</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1569</th>\n",
        "      <td> 116.8</td>\n",
        "      <td> 7</td>\n",
        "      <td> 2407.248</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1570</th>\n",
        "      <td> 118.2</td>\n",
        "      <td> 7</td>\n",
        "      <td> 2436.102</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1571</th>\n",
        "      <td> 119.5</td>\n",
        "      <td> 7</td>\n",
        "      <td> 2462.895</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1572</th>\n",
        "      <td> 120.7</td>\n",
        "      <td> 7</td>\n",
        "      <td> 2487.627</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1573</th>\n",
        "      <td> 121.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1996.302</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1574</th>\n",
        "      <td> 122.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2009.414</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1575</th>\n",
        "      <td> 123.2</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2019.248</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1576</th>\n",
        "      <td> 123.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2025.804</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1577</th>\n",
        "      <td> 123.7</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2027.443</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1578</th>\n",
        "      <td> 123.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2025.804</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1579</th>\n",
        "      <td> 123.3</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2020.887</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1580</th>\n",
        "      <td> 123.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2015.970</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1581</th>\n",
        "      <td> 122.5</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2007.775</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1582</th>\n",
        "      <td> 122.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2001.219</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1583</th>\n",
        "      <td> 121.5</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1991.385</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1584</th>\n",
        "      <td> 120.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1979.912</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1585</th>\n",
        "      <td> 120.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1966.800</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1586</th>\n",
        "      <td> 119.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1952.049</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1587</th>\n",
        "      <td> 118.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1935.659</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1588</th>\n",
        "      <td> 117.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1919.269</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1589</th>\n",
        "      <td> 116.2</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1904.518</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1590</th>\n",
        "      <td> 115.5</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1893.045</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1591</th>\n",
        "      <td> 114.9</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1883.211</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1592</th>\n",
        "      <td> 114.5</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1876.655</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1593</th>\n",
        "      <td> 114.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1870.099</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1594</th>\n",
        "      <td> 113.9</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1866.821</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1595</th>\n",
        "      <td> 113.7</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1863.543</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1596</th>\n",
        "      <td> 113.3</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1856.987</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1597</th>\n",
        "      <td> 112.9</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1850.431</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1598</th>\n",
        "      <td> 112.2</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1838.958</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1599</th>\n",
        "      <td> 111.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1825.846</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1600</th>\n",
        "      <td> 110.5</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1811.095</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1601</th>\n",
        "      <td> 109.5</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1794.705</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1602</th>\n",
        "      <td> 108.5</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1778.315</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1603</th>\n",
        "      <td> 107.7</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1765.203</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1604</th>\n",
        "      <td> 107.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1755.369</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1605</th>\n",
        "      <td> 106.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1747.174</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1606</th>\n",
        "      <td> 106.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1743.896</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1607</th>\n",
        "      <td> 106.2</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1740.618</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1608</th>\n",
        "      <td> 106.2</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1740.618</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1609</th>\n",
        "      <td> 106.2</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1740.618</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1610</th>\n",
        "      <td> 106.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1743.896</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1611</th>\n",
        "      <td> 106.5</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1745.535</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1612</th>\n",
        "      <td> 106.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1750.452</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1613</th>\n",
        "      <td> 107.2</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1757.008</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1614</th>\n",
        "      <td> 107.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1766.842</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1615</th>\n",
        "      <td> 108.5</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1778.315</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1616</th>\n",
        "      <td> 109.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1793.066</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1617</th>\n",
        "      <td> 110.5</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1811.095</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1618</th>\n",
        "      <td> 111.7</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1830.763</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1619</th>\n",
        "      <td> 113.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1852.070</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1620</th>\n",
        "      <td> 114.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1870.099</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1621</th>\n",
        "      <td> 115.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1886.489</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1622</th>\n",
        "      <td> 115.9</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1899.601</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1623</th>\n",
        "      <td> 116.5</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1909.435</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1624</th>\n",
        "      <td> 116.7</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1912.713</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1625</th>\n",
        "      <td> 116.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1911.074</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1626</th>\n",
        "      <td> 116.2</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1904.518</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1627</th>\n",
        "      <td> 115.2</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1888.128</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1628</th>\n",
        "      <td> 113.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1865.182</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1629</th>\n",
        "      <td> 112.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1835.680</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1630</th>\n",
        "      <td> 110.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1804.539</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1631</th>\n",
        "      <td> 108.3</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1775.037</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1632</th>\n",
        "      <td> 107.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1753.730</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1633</th>\n",
        "      <td> 106.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1738.979</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1634</th>\n",
        "      <td> 105.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1734.062</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1635</th>\n",
        "      <td> 105.7</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1732.423</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1636</th>\n",
        "      <td> 105.7</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1732.423</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1637</th>\n",
        "      <td> 105.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1730.784</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1638</th>\n",
        "      <td> 105.3</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1725.867</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1639</th>\n",
        "      <td> 104.9</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1719.311</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1640</th>\n",
        "      <td> 104.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1711.116</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1641</th>\n",
        "      <td> 104.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1704.560</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1642</th>\n",
        "      <td> 103.8</td>\n",
        "      <td> 7</td>\n",
        "      <td> 2139.318</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1643</th>\n",
        "      <td> 103.9</td>\n",
        "      <td> 7</td>\n",
        "      <td> 2141.379</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1644</th>\n",
        "      <td> 104.4</td>\n",
        "      <td> 7</td>\n",
        "      <td> 2151.684</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1645</th>\n",
        "      <td> 105.1</td>\n",
        "      <td> 7</td>\n",
        "      <td> 2166.111</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1646</th>\n",
        "      <td> 106.1</td>\n",
        "      <td> 7</td>\n",
        "      <td> 2186.721</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1647</th>\n",
        "      <td> 107.2</td>\n",
        "      <td> 7</td>\n",
        "      <td> 2209.392</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1648</th>\n",
        "      <td> 108.5</td>\n",
        "      <td> 7</td>\n",
        "      <td> 2236.185</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1649</th>\n",
        "      <td> 109.9</td>\n",
        "      <td> 7</td>\n",
        "      <td> 2265.039</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1650</th>\n",
        "      <td> 111.3</td>\n",
        "      <td> 7</td>\n",
        "      <td> 2293.893</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1651</th>\n",
        "      <td> 112.7</td>\n",
        "      <td> 7</td>\n",
        "      <td> 2322.747</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1652</th>\n",
        "      <td> 113.9</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1866.821</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1653</th>\n",
        "      <td> 115.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1884.850</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1654</th>\n",
        "      <td> 116.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1901.240</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1655</th>\n",
        "      <td> 116.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1914.352</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1656</th>\n",
        "      <td> 117.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1927.464</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1657</th>\n",
        "      <td> 118.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1940.576</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1658</th>\n",
        "      <td> 119.2</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1953.688</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1659</th>\n",
        "      <td> 120.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1966.800</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1660</th>\n",
        "      <td> 120.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1979.912</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1661</th>\n",
        "      <td> 121.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1993.024</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1662</th>\n",
        "      <td> 122.3</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2004.497</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1663</th>\n",
        "      <td> 123.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2017.609</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1664</th>\n",
        "      <td> 123.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2029.082</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1665</th>\n",
        "      <td> 124.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2038.916</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1666</th>\n",
        "      <td> 125.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2048.750</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1667</th>\n",
        "      <td> 125.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2055.306</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1668</th>\n",
        "      <td> 125.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2061.862</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1669</th>\n",
        "      <td> 126.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2066.779</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1670</th>\n",
        "      <td> 126.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2071.696</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1671</th>\n",
        "      <td> 126.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2074.974</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1672</th>\n",
        "      <td> 126.7</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2076.613</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1673</th>\n",
        "      <td> 126.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2078.252</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1674</th>\n",
        "      <td> 126.9</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2079.891</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1675</th>\n",
        "      <td> 126.9</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2079.891</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1676</th>\n",
        "      <td> 126.9</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2079.891</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1677</th>\n",
        "      <td> 126.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2078.252</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1678</th>\n",
        "      <td> 126.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2074.974</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1679</th>\n",
        "      <td> 126.3</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2070.057</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1680</th>\n",
        "      <td> 126.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2065.140</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1681</th>\n",
        "      <td> 125.7</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2060.223</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1682</th>\n",
        "      <td> 125.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2058.584</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1683</th>\n",
        "      <td> 125.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2058.584</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1684</th>\n",
        "      <td> 125.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2061.862</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1685</th>\n",
        "      <td> 126.2</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2068.418</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1686</th>\n",
        "      <td> 126.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2074.974</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1687</th>\n",
        "      <td> 127.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2081.530</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1688</th>\n",
        "      <td> 127.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2088.086</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1689</th>\n",
        "      <td> 127.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2091.364</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1690</th>\n",
        "      <td> 127.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2094.642</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1691</th>\n",
        "      <td> 127.9</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2096.281</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1692</th>\n",
        "      <td> 128.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2097.920</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1693</th>\n",
        "      <td> 128.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2099.559</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1694</th>\n",
        "      <td> 128.2</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2101.198</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1695</th>\n",
        "      <td> 128.3</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2102.837</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1696</th>\n",
        "      <td> 128.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2104.476</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1697</th>\n",
        "      <td> 128.5</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2106.115</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1698</th>\n",
        "      <td> 128.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2107.754</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1699</th>\n",
        "      <td> 128.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2107.754</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1700</th>\n",
        "      <td> 128.5</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2106.115</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1701</th>\n",
        "      <td> 128.3</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2102.837</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1702</th>\n",
        "      <td> 128.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2099.559</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1703</th>\n",
        "      <td> 127.9</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2096.281</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1704</th>\n",
        "      <td> 127.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2091.364</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1705</th>\n",
        "      <td> 127.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2088.086</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1706</th>\n",
        "      <td> 127.2</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2084.808</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1707</th>\n",
        "      <td> 127.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2081.530</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1708</th>\n",
        "      <td> 126.9</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2079.891</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1709</th>\n",
        "      <td> 126.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2078.252</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1710</th>\n",
        "      <td> 126.7</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2076.613</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1711</th>\n",
        "      <td> 126.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2078.252</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1712</th>\n",
        "      <td> 126.9</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2079.891</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1713</th>\n",
        "      <td> 127.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2083.169</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1714</th>\n",
        "      <td> 127.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2088.086</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1715</th>\n",
        "      <td> 127.7</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2093.003</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1716</th>\n",
        "      <td> 128.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2099.559</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1717</th>\n",
        "      <td> 128.5</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2106.115</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1718</th>\n",
        "      <td> 129.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2114.310</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1719</th>\n",
        "      <td> 129.5</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2122.505</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1720</th>\n",
        "      <td> 130.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2132.339</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1721</th>\n",
        "      <td> 130.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2140.534</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1722</th>\n",
        "      <td> 131.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2147.090</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1723</th>\n",
        "      <td> 131.2</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2150.368</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1724</th>\n",
        "      <td> 131.3</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2152.007</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1725</th>\n",
        "      <td> 131.2</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2150.368</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1726</th>\n",
        "      <td> 130.7</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2142.173</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1727</th>\n",
        "      <td> 129.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2127.422</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1728</th>\n",
        "      <td> 128.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2104.476</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1729</th>\n",
        "      <td> 126.5</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2073.335</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1730</th>\n",
        "      <td> 124.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 2033.999</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1731</th>\n",
        "      <td> 121.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1993.024</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1732</th>\n",
        "      <td> 119.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1950.410</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1733</th>\n",
        "      <td> 116.5</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1909.435</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1734</th>\n",
        "      <td> 114.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1870.099</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1735</th>\n",
        "      <td> 111.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1832.402</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1736</th>\n",
        "      <td> 109.5</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1794.705</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1737</th>\n",
        "      <td> 107.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1755.369</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1738</th>\n",
        "      <td> 104.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1717.672</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1739</th>\n",
        "      <td> 102.5</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1679.975</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1740</th>\n",
        "      <td> 100.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1645.556</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1741</th>\n",
        "      <td>  98.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1616.054</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1742</th>\n",
        "      <td>  97.2</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1593.108</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1743</th>\n",
        "      <td>  95.9</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1571.801</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1744</th>\n",
        "      <td>  94.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1553.772</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1745</th>\n",
        "      <td>  93.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1537.382</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1746</th>\n",
        "      <td>  92.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1520.992</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1747</th>\n",
        "      <td>  91.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1504.602</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1748</th>\n",
        "      <td>  91.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1491.490</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1749</th>\n",
        "      <td>  90.2</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1478.378</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1750</th>\n",
        "      <td>  89.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1468.544</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1751</th>\n",
        "      <td>  89.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1460.349</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1752</th>\n",
        "      <td>  88.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1452.154</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1753</th>\n",
        "      <td>  88.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1443.959</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1754</th>\n",
        "      <td>  87.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1435.764</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1755</th>\n",
        "      <td>  87.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1427.569</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1756</th>\n",
        "      <td>  86.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1419.374</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1757</th>\n",
        "      <td>  86.1</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1411.179</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1758</th>\n",
        "      <td>  85.5</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1401.345</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1759</th>\n",
        "      <td>  85.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1393.150</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1760</th>\n",
        "      <td>  84.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1383.316</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1761</th>\n",
        "      <td>  83.8</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1373.482</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1762</th>\n",
        "      <td>  83.2</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1363.648</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1763</th>\n",
        "      <td>  82.6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1353.814</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1764</th>\n",
        "      <td>  82.0</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1343.980</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1765</th>\n",
        "      <td>  81.3</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1332.507</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1766</th>\n",
        "      <td>  80.4</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1317.756</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1767</th>\n",
        "      <td>  79.1</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1630.251</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1768</th>\n",
        "      <td>  77.4</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1595.214</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1769</th>\n",
        "      <td>  75.1</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1547.811</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1770</th>\n",
        "      <td>  72.3</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1490.103</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1771</th>\n",
        "      <td>  69.1</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1424.151</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1772</th>\n",
        "      <td>  65.9</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1358.199</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1773</th>\n",
        "      <td>  62.7</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1540.539</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1774</th>\n",
        "      <td>  59.7</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1466.829</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1775</th>\n",
        "      <td>  57.0</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1400.490</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1776</th>\n",
        "      <td>  54.6</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1341.522</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1777</th>\n",
        "      <td>  52.2</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1647.954</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1778</th>\n",
        "      <td>  49.7</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1569.029</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1779</th>\n",
        "      <td>  46.8</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1477.476</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1780</th>\n",
        "      <td>  43.5</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1373.295</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1781</th>\n",
        "      <td>  39.9</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1634.304</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1782</th>\n",
        "      <td>  36.4</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1490.944</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1783</th>\n",
        "      <td>  33.2</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1359.872</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1784</th>\n",
        "      <td>  30.5</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1576.850</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1785</th>\n",
        "      <td>  28.3</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1463.110</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1786</th>\n",
        "      <td>  26.3</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1359.710</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1787</th>\n",
        "      <td>  24.4</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1876.848</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1788</th>\n",
        "      <td>  22.5</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1730.700</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1789</th>\n",
        "      <td>  20.5</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1576.860</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1790</th>\n",
        "      <td>  18.2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1399.944</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1791</th>\n",
        "      <td>  15.5</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1192.260</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1792</th>\n",
        "      <td>  12.3</td>\n",
        "      <td> 2</td>\n",
        "      <td>  946.116</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1793</th>\n",
        "      <td>   8.7</td>\n",
        "      <td> 0</td>\n",
        "      <td>  142.593</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1794</th>\n",
        "      <td>   5.2</td>\n",
        "      <td> 0</td>\n",
        "      <td>   85.228</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1795</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1796</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1797</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1798</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1799</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1800</th>\n",
        "      <td>   0.0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  780.000</td>\n",
        "      <td>        NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>         NaN</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>1801 rows \u00d7 6 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "display_data",
       "text": [
        "Cycle         WLTC                         NEDC                    \n",
        "quantity  v_target  gears       rpm    v_target  gears          rpm\n",
        "t                                                                  \n",
        "0              0.0      0   780.000    0.000000      0   780.000000\n",
        "1              0.0      0   780.000    0.000000      0   780.000000\n",
        "2              0.0      0   780.000    0.000000      0   780.000000\n",
        "3              0.0      0   780.000    0.000000      0   780.000000\n",
        "4              0.0      0   780.000    0.000000      0   780.000000\n",
        "5              0.0      0   780.000    0.000000      0   780.000000\n",
        "6              0.0      0   780.000    0.000000      0   780.000000\n",
        "7              0.0      0   780.000    0.000000      0   780.000000\n",
        "8              0.0      0   780.000    0.000000      0   780.000000\n",
        "9              0.0      0   780.000    0.000000      0   780.000000\n",
        "10             0.0      0   780.000    0.000000      1   780.000000\n",
        "11             0.0      0   780.000    3.750000      1   432.187500\n",
        "12             0.2      1    23.050    7.500000      1   864.375000\n",
        "13             1.7      1   195.925   11.250000      1  1296.562500\n",
        "14             5.4      1   622.350   15.000000      2  1153.800000\n",
        "15             9.9      2   761.508   15.000000      2  1153.800000\n",
        "16            13.1      2  1007.652   15.000000      2  1153.800000\n",
        "17            16.9      2  1299.948   15.000000      2  1153.800000\n",
        "18            21.7      2  1669.164   15.000000      2  1153.800000\n",
        "19            26.0      3  1344.200   15.000000      2  1153.800000\n",
        "20            27.5      3  1421.750   15.000000      2  1153.800000\n",
        "21            28.1      3  1452.770   15.000000      2  1153.800000\n",
        "22            28.3      3  1463.110   15.000000      2  1153.800000\n",
        "23            28.8      3  1488.960   12.500000      2   961.500000\n",
        "24            29.1      3  1504.470   10.000000      2   769.200000\n",
        "25            30.8      3  1592.360    6.666670      0   109.266719\n",
        "26            31.9      3  1649.230    3.333000      0    54.627869\n",
        "27            34.1      4  1396.736    0.000000      0   780.000000\n",
        "28            36.6      4  1499.136    0.000000      0   780.000000\n",
        "29            39.1      4  1601.536    0.000000      0   780.000000\n",
        "30            41.3      4  1691.648    0.000000      0   780.000000\n",
        "31            42.5      5  1341.725    0.000000      0   780.000000\n",
        "32            43.3      5  1366.981    0.000000      0   780.000000\n",
        "33            43.9      5  1385.923    0.000000      0   780.000000\n",
        "34            44.4      5  1401.708    0.000000      0   780.000000\n",
        "35            44.5      5  1404.865    0.000000      0   780.000000\n",
        "36            44.2      5  1395.394    0.000000      0   780.000000\n",
        "37            42.7      5  1348.039    0.000000      0   780.000000\n",
        "38            39.9      4  1634.304    0.000000      0   780.000000\n",
        "39            37.0      4  1515.520    0.000000      0   780.000000\n",
        "40            34.6      4  1417.216    0.000000      0   780.000000\n",
        "41            32.3      4  1323.008    0.000000      0   780.000000\n",
        "42            29.0      2  2230.680    0.000000      0   780.000000\n",
        "43            25.1      2  1930.692    0.000000      0   780.000000\n",
        "44            22.2      2  1707.624    0.000000      0   780.000000\n",
        "45            20.9      2  1607.628    0.000000      0   780.000000\n",
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        "1095          63.0      6  1547.910  100.000000      8  1639.000000\n",
        "1096          63.7      6  1565.109  101.000000      8  1655.390000\n",
        "1097          63.9      6  1570.023  102.000000      8  1671.780000\n",
        "1098          63.5      6  1560.195  103.000000      8  1688.170000\n",
        "1099          62.3      6  1530.711  104.000000      8  1704.560000\n",
        "1100          60.3      6  1481.571  105.000000      8  1720.950000\n",
        "1101          58.9      6  1447.173  106.000000      8  1737.340000\n",
        "1102          58.4      6  1434.888  107.000000      8  1753.730000\n",
        "1103          58.8      6  1444.716  108.000000      8  1770.120000\n",
        "1104          60.2      6  1479.114  109.000000      8  1786.510000\n",
        "1105          62.3      6  1530.711  110.000000      8  1802.900000\n",
        "1106          63.9      6  1570.023  111.000000      8  1819.290000\n",
        "1107          64.5      6  1584.765  112.000000      8  1835.680000\n",
        "1108          64.4      6  1582.308  113.000000      8  1852.070000\n",
        "1109          63.5      6  1560.195  114.000000      8  1868.460000\n",
        "1110          62.0      6  1523.340  115.000000      8  1884.850000\n",
        "1111          61.2      6  1503.684  116.000000      8  1901.240000\n",
        "1112          61.3      6  1506.141  117.000000      8  1917.630000\n",
        "1113          62.6      6  1538.082  118.000000      8  1934.020000\n",
        "1114          65.3      6  1604.421  119.000000      8  1950.410000\n",
        "1115          68.0      7  1401.480  120.000000      8  1966.800000\n",
        "1116          69.4      7  1430.334  120.000000      8  1966.800000\n",
        "1117          69.7      7  1436.517  120.000000      8  1966.800000\n",
        "1118          69.3      7  1428.273  120.000000      8  1966.800000\n",
        "1119          68.1      7  1403.541  120.000000      8  1966.800000\n",
        "1120          66.9      7  1378.809  120.000000      8  1966.800000\n",
        "1121          66.2      7  1364.382  120.000000      8  1966.800000\n",
        "1122          65.7      7  1354.077  120.000000      8  1966.800000\n",
        "1123          64.9      7  1337.589  120.000000      8  1966.800000\n",
        "1124          63.2      6  1552.824  120.000000      8  1966.800000\n",
        "1125          60.3      6  1481.571  120.000000      8  1966.800000\n",
        "1126          55.8      6  1371.006  117.500000      8  1925.825000\n",
        "1127          50.5      4  2068.480  115.000000      8  1884.850000\n",
        "1128          45.2      4  1851.392  112.500000      8  1843.875000\n",
        "1129          40.1      4  1642.496  110.000000      8  1802.900000\n",
        "1130          36.2      4  1482.752  107.500000      8  1761.925000\n",
        "1131          32.9      4  1347.584  105.000000      8  1720.950000\n",
        "1132          29.8      2  2292.216  102.500000      8  1679.975000\n",
        "1133          26.6      2  2046.072  100.000000      8  1639.000000\n",
        "1134          23.0      2  1769.160   97.500000      8  1598.025000\n",
        "1135          19.4      2  1492.248   95.000000      8  1557.050000\n",
        "1136          16.3      2  1253.796   92.500000      8  1516.075000\n",
        "1137          14.6      2  1123.032   90.000000      8  1475.100000\n",
        "1138          14.2      2  1092.264   87.500000      8  1434.125000\n",
        "1139          14.3      2  1099.956   85.000000      8  1393.150000\n",
        "1140          14.6      2  1123.032   82.500000      8  1352.175000\n",
        "1141          15.1      2  1161.492   80.000000      8  1311.200000\n",
        "1142          16.4      2  1261.488   76.250000      7  1571.512500\n",
        "1143          19.1      2  1469.172   72.500000      7  1494.225000\n",
        "1144          22.5      2  1730.700   68.750000      7  1416.937500\n",
        "1145          24.4      2  1876.848   65.000000      7  1339.650000\n",
        "1146          24.8      2  1907.616   61.250000      6  1504.912500\n",
        "1147          22.7      2  1746.084   57.500000      6  1412.775000\n",
        "1148          17.4      2  1338.408   53.750000      6  1320.637500\n",
        "1149          13.8      2  1061.496   50.000000      4  2048.000000\n",
        "1150          12.0      2   923.040   45.000000      4  1843.200000\n",
        "1151          12.0      2   923.040   40.000000      4  1638.400000\n",
        "1152          12.0      2   923.040   35.000000      4  1433.600000\n",
        "1153          13.9      2  1069.188   30.000000      2  2307.600000\n",
        "1154          17.7      2  1361.484   25.000000      2  1923.000000\n",
        "1155          22.8      2  1753.776   20.000000      2  1538.400000\n",
        "1156          27.3      3  1411.410   15.000000      2  1153.800000\n",
        "1157          31.2      3  1613.040   10.000000      2   769.200000\n",
        "1158          35.2      3  1819.840    5.000000      0    81.950000\n",
        "1159          39.4      4  1613.824    0.000000      0   780.000000\n",
        "1160          42.5      4  1740.800    0.000000      0   780.000000\n",
        "1161          45.4      4  1859.584    0.000000      0   780.000000\n",
        "1162          48.2      5  1521.674    0.000000      0   780.000000\n",
        "1163          50.3      5  1587.971    0.000000      0   780.000000\n",
        "1164          52.6      5  1660.582    0.000000      0   780.000000\n",
        "1165          54.5      6  1339.065    0.000000      0   780.000000\n",
        "1166          56.6      6  1390.662    0.000000      0   780.000000\n",
        "1167          58.3      6  1432.431    0.000000      0   780.000000\n",
        "1168          60.0      6  1474.200    0.000000      0   780.000000\n",
        "1169          61.5      6  1511.055    0.000000      0   780.000000\n",
        "1170          63.1      6  1550.367    0.000000      0   780.000000\n",
        "1171          64.3      7  1325.223    0.000000      0   780.000000\n",
        "1172          65.7      7  1354.077    0.000000      0   780.000000\n",
        "1173          67.1      7  1382.931    0.000000      0   780.000000\n",
        "1174          68.3      7  1407.663    0.000000      0   780.000000\n",
        "1175          69.7      7  1436.517    0.000000      0   780.000000\n",
        "1176          70.6      7  1455.066    0.000000      0   780.000000\n",
        "1177          71.6      7  1475.676    0.000000      0   780.000000\n",
        "1178          72.6      7  1496.286    0.000000      0   780.000000\n",
        "1179          73.5      7  1514.835    0.000000      0   780.000000\n",
        "1180          74.2      7  1529.262         NaN    NaN          NaN\n",
        "1181          74.9      7  1543.689         NaN    NaN          NaN\n",
        "1182          75.6      7  1558.116         NaN    NaN          NaN\n",
        "1183          76.3      7  1572.543         NaN    NaN          NaN\n",
        "1184          77.1      7  1589.031         NaN    NaN          NaN\n",
        "1185          77.9      7  1605.519         NaN    NaN          NaN\n",
        "1186          78.5      7  1617.885         NaN    NaN          NaN\n",
        "1187          79.0      7  1628.190         NaN    NaN          NaN\n",
        "1188          79.7      7  1642.617         NaN    NaN          NaN\n",
        "1189          80.3      8  1316.117         NaN    NaN          NaN\n",
        "1190          81.0      8  1327.590         NaN    NaN          NaN\n",
        "1191          81.6      8  1337.424         NaN    NaN          NaN\n",
        "1192          82.4      8  1350.536         NaN    NaN          NaN\n",
        "1193          82.9      8  1358.731         NaN    NaN          NaN\n",
        "1194          83.4      8  1366.926         NaN    NaN          NaN\n",
        "1195          83.8      8  1373.482         NaN    NaN          NaN\n",
        "1196          84.2      8  1380.038         NaN    NaN          NaN\n",
        "1197          84.7      8  1388.233         NaN    NaN          NaN\n",
        "1198          85.2      8  1396.428         NaN    NaN          NaN\n",
        "1199          85.6      8  1402.984         NaN    NaN          NaN\n",
        "1200          86.3      8  1414.457         NaN    NaN          NaN\n",
        "1201          86.8      8  1422.652         NaN    NaN          NaN\n",
        "1202          87.4      8  1432.486         NaN    NaN          NaN\n",
        "1203          88.0      8  1442.320         NaN    NaN          NaN\n",
        "1204          88.3      8  1447.237         NaN    NaN          NaN\n",
        "1205          88.7      8  1453.793         NaN    NaN          NaN\n",
        "1206          89.0      8  1458.710         NaN    NaN          NaN\n",
        "1207          89.3      8  1463.627         NaN    NaN          NaN\n",
        "1208          89.8      8  1471.822         NaN    NaN          NaN\n",
        "1209          90.2      8  1478.378         NaN    NaN          NaN\n",
        "1210          90.6      8  1484.934         NaN    NaN          NaN\n",
        "1211          91.0      8  1491.490         NaN    NaN          NaN\n",
        "1212          91.3      8  1496.407         NaN    NaN          NaN\n",
        "1213          91.6      8  1501.324         NaN    NaN          NaN\n",
        "1214          91.9      8  1506.241         NaN    NaN          NaN\n",
        "1215          92.2      8  1511.158         NaN    NaN          NaN\n",
        "1216          92.8      8  1520.992         NaN    NaN          NaN\n",
        "1217          93.1      8  1525.909         NaN    NaN          NaN\n",
        "1218          93.3      8  1529.187         NaN    NaN          NaN\n",
        "1219          93.5      8  1532.465         NaN    NaN          NaN\n",
        "1220          93.7      8  1535.743         NaN    NaN          NaN\n",
        "1221          93.9      8  1539.021         NaN    NaN          NaN\n",
        "1222          94.0      8  1540.660         NaN    NaN          NaN\n",
        "1223          94.1      8  1542.299         NaN    NaN          NaN\n",
        "1224          94.3      8  1545.577         NaN    NaN          NaN\n",
        "1225          94.4      8  1547.216         NaN    NaN          NaN\n",
        "1226          94.6      8  1550.494         NaN    NaN          NaN\n",
        "1227          94.7      8  1552.133         NaN    NaN          NaN\n",
        "1228          94.8      8  1553.772         NaN    NaN          NaN\n",
        "1229          95.0      8  1557.050         NaN    NaN          NaN\n",
        "1230          95.1      8  1558.689         NaN    NaN          NaN\n",
        "1231          95.3      8  1561.967         NaN    NaN          NaN\n",
        "1232          95.4      8  1563.606         NaN    NaN          NaN\n",
        "1233          95.6      8  1566.884         NaN    NaN          NaN\n",
        "1234          95.7      8  1568.523         NaN    NaN          NaN\n",
        "1235          95.8      8  1570.162         NaN    NaN          NaN\n",
        "1236          96.0      8  1573.440         NaN    NaN          NaN\n",
        "1237          96.1      8  1575.079         NaN    NaN          NaN\n",
        "1238          96.3      8  1578.357         NaN    NaN          NaN\n",
        "1239          96.4      8  1579.996         NaN    NaN          NaN\n",
        "1240          96.6      8  1583.274         NaN    NaN          NaN\n",
        "1241          96.8      8  1586.552         NaN    NaN          NaN\n",
        "1242          97.0      8  1589.830         NaN    NaN          NaN\n",
        "1243          97.2      8  1593.108         NaN    NaN          NaN\n",
        "1244          97.3      8  1594.747         NaN    NaN          NaN\n",
        "1245          97.4      8  1596.386         NaN    NaN          NaN\n",
        "1246          97.4      8  1596.386         NaN    NaN          NaN\n",
        "1247          97.4      8  1596.386         NaN    NaN          NaN\n",
        "1248          97.4      8  1596.386         NaN    NaN          NaN\n",
        "1249          97.3      8  1594.747         NaN    NaN          NaN\n",
        "1250          97.3      8  1594.747         NaN    NaN          NaN\n",
        "1251          97.3      8  1594.747         NaN    NaN          NaN\n",
        "1252          97.3      8  1594.747         NaN    NaN          NaN\n",
        "1253          97.2      8  1593.108         NaN    NaN          NaN\n",
        "1254          97.1      8  1591.469         NaN    NaN          NaN\n",
        "1255          97.0      8  1589.830         NaN    NaN          NaN\n",
        "1256          96.9      8  1588.191         NaN    NaN          NaN\n",
        "1257          96.7      8  1584.913         NaN    NaN          NaN\n",
        "1258          96.4      8  1579.996         NaN    NaN          NaN\n",
        "1259          96.1      8  1575.079         NaN    NaN          NaN\n",
        "1260          95.7      8  1568.523         NaN    NaN          NaN\n",
        "1261          95.5      8  1565.245         NaN    NaN          NaN\n",
        "1262          95.3      8  1561.967         NaN    NaN          NaN\n",
        "1263          95.2      8  1560.328         NaN    NaN          NaN\n",
        "1264          95.0      8  1557.050         NaN    NaN          NaN\n",
        "1265          94.9      8  1555.411         NaN    NaN          NaN\n",
        "1266          94.7      8  1552.133         NaN    NaN          NaN\n",
        "1267          94.5      8  1548.855         NaN    NaN          NaN\n",
        "1268          94.4      8  1547.216         NaN    NaN          NaN\n",
        "1269          94.4      8  1547.216         NaN    NaN          NaN\n",
        "1270          94.3      8  1545.577         NaN    NaN          NaN\n",
        "1271          94.3      8  1545.577         NaN    NaN          NaN\n",
        "1272          94.1      8  1542.299         NaN    NaN          NaN\n",
        "1273          93.9      8  1539.021         NaN    NaN          NaN\n",
        "1274          93.4      8  1530.826         NaN    NaN          NaN\n",
        "1275          92.8      8  1520.992         NaN    NaN          NaN\n",
        "1276          92.0      8  1507.880         NaN    NaN          NaN\n",
        "1277          91.3      8  1496.407         NaN    NaN          NaN\n",
        "1278          90.6      8  1484.934         NaN    NaN          NaN\n",
        "1279          90.0      8  1475.100         NaN    NaN          NaN\n",
        "1280          89.3      8  1463.627         NaN    NaN          NaN\n",
        "1281          88.7      8  1453.793         NaN    NaN          NaN\n",
        "1282          88.1      8  1443.959         NaN    NaN          NaN\n",
        "1283          87.4      8  1432.486         NaN    NaN          NaN\n",
        "1284          86.7      8  1421.013         NaN    NaN          NaN\n",
        "1285          86.0      8  1409.540         NaN    NaN          NaN\n",
        "1286          85.3      8  1398.067         NaN    NaN          NaN\n",
        "1287          84.7      8  1388.233         NaN    NaN          NaN\n",
        "1288          84.1      8  1378.399         NaN    NaN          NaN\n",
        "1289          83.5      8  1368.565         NaN    NaN          NaN\n",
        "1290          82.9      8  1358.731         NaN    NaN          NaN\n",
        "1291          82.3      8  1348.897         NaN    NaN          NaN\n",
        "1292          81.7      8  1339.063         NaN    NaN          NaN\n",
        "1293          81.1      8  1329.229         NaN    NaN          NaN\n",
        "1294          80.5      8  1319.395         NaN    NaN          NaN\n",
        "1295          79.9      8  1309.561         NaN    NaN          NaN\n",
        "1296          79.4      7  1636.434         NaN    NaN          NaN\n",
        "1297          79.1      7  1630.251         NaN    NaN          NaN\n",
        "1298          78.8      7  1624.068         NaN    NaN          NaN\n",
        "1299          78.5      7  1617.885         NaN    NaN          NaN\n",
        "1300          78.2      7  1611.702         NaN    NaN          NaN\n",
        "1301          77.9      7  1605.519         NaN    NaN          NaN\n",
        "1302          77.6      7  1599.336         NaN    NaN          NaN\n",
        "1303          77.3      7  1593.153         NaN    NaN          NaN\n",
        "1304          77.0      7  1586.970         NaN    NaN          NaN\n",
        "1305          76.7      7  1580.787         NaN    NaN          NaN\n",
        "1306          76.0      7  1566.360         NaN    NaN          NaN\n",
        "1307          76.0      7  1566.360         NaN    NaN          NaN\n",
        "1308          76.0      7  1566.360         NaN    NaN          NaN\n",
        "1309          75.9      7  1564.299         NaN    NaN          NaN\n",
        "1310          75.9      7  1564.299         NaN    NaN          NaN\n",
        "1311          75.8      7  1562.238         NaN    NaN          NaN\n",
        "1312          75.7      7  1560.177         NaN    NaN          NaN\n",
        "1313          75.5      7  1556.055         NaN    NaN          NaN\n",
        "1314          75.2      7  1549.872         NaN    NaN          NaN\n",
        "1315          75.0      7  1545.750         NaN    NaN          NaN\n",
        "1316          74.7      7  1539.567         NaN    NaN          NaN\n",
        "1317          74.1      7  1527.201         NaN    NaN          NaN\n",
        "1318          73.7      7  1518.957         NaN    NaN          NaN\n",
        "1319          73.3      7  1510.713         NaN    NaN          NaN\n",
        "1320          73.5      7  1514.835         NaN    NaN          NaN\n",
        "1321          74.0      7  1525.140         NaN    NaN          NaN\n",
        "1322          74.9      7  1543.689         NaN    NaN          NaN\n",
        "1323          76.1      7  1568.421         NaN    NaN          NaN\n",
        "1324          77.7      7  1601.397         NaN    NaN          NaN\n",
        "1325          79.2      7  1632.312         NaN    NaN          NaN\n",
        "1326          80.3      8  1316.117         NaN    NaN          NaN\n",
        "1327          80.8      8  1324.312         NaN    NaN          NaN\n",
        "1328          81.0      8  1327.590         NaN    NaN          NaN\n",
        "1329          81.0      8  1327.590         NaN    NaN          NaN\n",
        "1330          81.0      8  1327.590         NaN    NaN          NaN\n",
        "1331          81.0      8  1327.590         NaN    NaN          NaN\n",
        "1332          81.0      8  1327.590         NaN    NaN          NaN\n",
        "1333          80.9      8  1325.951         NaN    NaN          NaN\n",
        "1334          80.6      8  1321.034         NaN    NaN          NaN\n",
        "1335          80.3      8  1316.117         NaN    NaN          NaN\n",
        "1336          80.0      8  1311.200         NaN    NaN          NaN\n",
        "1337          79.9      8  1309.561         NaN    NaN          NaN\n",
        "1338          79.8      8  1307.922         NaN    NaN          NaN\n",
        "1339          79.8      8  1307.922         NaN    NaN          NaN\n",
        "1340          79.8      8  1307.922         NaN    NaN          NaN\n",
        "1341          79.9      8  1309.561         NaN    NaN          NaN\n",
        "1342          80.0      8  1311.200         NaN    NaN          NaN\n",
        "1343          80.4      8  1317.756         NaN    NaN          NaN\n",
        "1344          80.8      8  1324.312         NaN    NaN          NaN\n",
        "1345          81.2      8  1330.868         NaN    NaN          NaN\n",
        "1346          81.5      8  1335.785         NaN    NaN          NaN\n",
        "1347          81.6      8  1337.424         NaN    NaN          NaN\n",
        "1348          81.6      8  1337.424         NaN    NaN          NaN\n",
        "1349          81.4      8  1334.146         NaN    NaN          NaN\n",
        "1350          80.7      8  1322.673         NaN    NaN          NaN\n",
        "1351          79.6      7  1640.556         NaN    NaN          NaN\n",
        "1352          78.2      7  1611.702         NaN    NaN          NaN\n",
        "1353          76.8      7  1582.848         NaN    NaN          NaN\n",
        "1354          75.3      7  1551.933         NaN    NaN          NaN\n",
        "1355          73.8      7  1521.018         NaN    NaN          NaN\n",
        "1356          72.1      7  1485.981         NaN    NaN          NaN\n",
        "1357          70.2      7  1446.822         NaN    NaN          NaN\n",
        "1358          68.2      7  1405.602         NaN    NaN          NaN\n",
        "1359          66.1      7  1362.321         NaN    NaN          NaN\n",
        "1360          63.8      7  1314.918         NaN    NaN          NaN\n",
        "1361          61.6      6  1513.512         NaN    NaN          NaN\n",
        "1362          60.2      6  1479.114         NaN    NaN          NaN\n",
        "1363          59.8      6  1469.286         NaN    NaN          NaN\n",
        "1364          60.4      6  1484.028         NaN    NaN          NaN\n",
        "1365          61.8      6  1518.426         NaN    NaN          NaN\n",
        "1366          62.6      6  1538.082         NaN    NaN          NaN\n",
        "1367          62.7      6  1540.539         NaN    NaN          NaN\n",
        "1368          61.9      6  1520.883         NaN    NaN          NaN\n",
        "1369          60.0      6  1474.200         NaN    NaN          NaN\n",
        "1370          58.4      6  1434.888         NaN    NaN          NaN\n",
        "1371          57.8      6  1420.146         NaN    NaN          NaN\n",
        "1372          57.8      6  1420.146         NaN    NaN          NaN\n",
        "1373          57.8      6  1420.146         NaN    NaN          NaN\n",
        "1374          57.3      6  1407.861         NaN    NaN          NaN\n",
        "1375          56.2      6  1380.834         NaN    NaN          NaN\n",
        "1376          54.3      6  1334.151         NaN    NaN          NaN\n",
        "1377          50.8      4  2080.768         NaN    NaN          NaN\n",
        "1378          45.5      4  1863.680         NaN    NaN          NaN\n",
        "1379          40.2      4  1646.592         NaN    NaN          NaN\n",
        "1380          34.9      4  1429.504         NaN    NaN          NaN\n",
        "1381          29.6      3  1530.320         NaN    NaN          NaN\n",
        "1382          27.3      3  1411.410         NaN    NaN          NaN\n",
        "1383          29.3      3  1514.810         NaN    NaN          NaN\n",
        "1384          32.9      4  1347.584         NaN    NaN          NaN\n",
        "1385          35.6      4  1458.176         NaN    NaN          NaN\n",
        "1386          36.7      4  1503.232         NaN    NaN          NaN\n",
        "1387          37.6      4  1540.096         NaN    NaN          NaN\n",
        "1388          39.4      4  1613.824         NaN    NaN          NaN\n",
        "1389          42.5      5  1341.725         NaN    NaN          NaN\n",
        "1390          46.5      5  1468.005         NaN    NaN          NaN\n",
        "1391          50.2      5  1584.814         NaN    NaN          NaN\n",
        "1392          52.8      5  1666.896         NaN    NaN          NaN\n",
        "1393          54.3      5  1714.251         NaN    NaN          NaN\n",
        "1394          54.9      5  1733.193         NaN    NaN          NaN\n",
        "1395          54.9      5  1733.193         NaN    NaN          NaN\n",
        "1396          54.7      5  1726.879         NaN    NaN          NaN\n",
        "1397          54.1      5  1707.937         NaN    NaN          NaN\n",
        "1398          53.2      5  1679.524         NaN    NaN          NaN\n",
        "1399          52.1      5  1644.797         NaN    NaN          NaN\n",
        "1400          50.7      5  1600.599         NaN    NaN          NaN\n",
        "1401          49.1      5  1550.087         NaN    NaN          NaN\n",
        "1402          47.4      5  1496.418         NaN    NaN          NaN\n",
        "1403          45.2      5  1426.964         NaN    NaN          NaN\n",
        "1404          41.8      5  1319.626         NaN    NaN          NaN\n",
        "1405          36.5      3  1887.050         NaN    NaN          NaN\n",
        "1406          31.2      3  1613.040         NaN    NaN          NaN\n",
        "1407          27.6      3  1426.920         NaN    NaN          NaN\n",
        "1408          26.9      3  1390.730         NaN    NaN          NaN\n",
        "1409          27.3      3  1411.410         NaN    NaN          NaN\n",
        "1410          27.5      3  1421.750         NaN    NaN          NaN\n",
        "1411          27.4      3  1416.580         NaN    NaN          NaN\n",
        "1412          27.1      3  1401.070         NaN    NaN          NaN\n",
        "1413          26.7      3  1380.390         NaN    NaN          NaN\n",
        "1414          26.8      3  1385.560         NaN    NaN          NaN\n",
        "1415          28.2      3  1457.940         NaN    NaN          NaN\n",
        "1416          31.1      3  1607.870         NaN    NaN          NaN\n",
        "1417          34.8      4  1425.408         NaN    NaN          NaN\n",
        "1418          38.4      4  1572.864         NaN    NaN          NaN\n",
        "1419          40.9      4  1675.264         NaN    NaN          NaN\n",
        "1420          41.7      4  1708.032         NaN    NaN          NaN\n",
        "1421          40.9      4  1675.264         NaN    NaN          NaN\n",
        "1422          38.3      4  1568.768         NaN    NaN          NaN\n",
        "1423          35.3      4  1445.888         NaN    NaN          NaN\n",
        "1424          34.3      4  1404.928         NaN    NaN          NaN\n",
        "1425          34.6      4  1417.216         NaN    NaN          NaN\n",
        "1426          36.3      4  1486.848         NaN    NaN          NaN\n",
        "1427          39.5      4  1617.920         NaN    NaN          NaN\n",
        "1428          41.8      4  1712.128         NaN    NaN          NaN\n",
        "1429          42.5      4  1740.800         NaN    NaN          NaN\n",
        "1430          41.9      4  1716.224         NaN    NaN          NaN\n",
        "1431          40.1      4  1642.496         NaN    NaN          NaN\n",
        "1432          36.6      4  1499.136         NaN    NaN          NaN\n",
        "1433          31.3      2  2407.596         NaN    NaN          NaN\n",
        "1434          26.0      2  1999.920         NaN    NaN          NaN\n",
        "1435          20.6      2  1584.552         NaN    NaN          NaN\n",
        "1436          19.1      2  1469.172         NaN    NaN          NaN\n",
        "1437          19.7      2  1515.324         NaN    NaN          NaN\n",
        "1438          21.1      2  1623.012         NaN    NaN          NaN\n",
        "1439          22.0      2  1692.240         NaN    NaN          NaN\n",
        "1440          22.1      2  1699.932         NaN    NaN          NaN\n",
        "1441          21.4      2  1646.088         NaN    NaN          NaN\n",
        "1442          19.6      2  1507.632         NaN    NaN          NaN\n",
        "1443          18.3      2  1407.636         NaN    NaN          NaN\n",
        "1444          18.0      2  1384.560         NaN    NaN          NaN\n",
        "1445          18.3      2  1407.636         NaN    NaN          NaN\n",
        "1446          18.5      2  1423.020         NaN    NaN          NaN\n",
        "1447          17.9      2  1376.868         NaN    NaN          NaN\n",
        "1448          15.0      2  1153.800         NaN    NaN          NaN\n",
        "1449           9.9      2   761.508         NaN    NaN          NaN\n",
        "1450           4.6      0    75.394         NaN    NaN          NaN\n",
        "1451           1.2      0    19.668         NaN    NaN          NaN\n",
        "1452           0.0      0   780.000         NaN    NaN          NaN\n",
        "1453           0.0      0   780.000         NaN    NaN          NaN\n",
        "1454           0.0      0   780.000         NaN    NaN          NaN\n",
        "1455           0.0      0   780.000         NaN    NaN          NaN\n",
        "1456           0.0      0   780.000         NaN    NaN          NaN\n",
        "1457           0.0      0   780.000         NaN    NaN          NaN\n",
        "1458           0.0      0   780.000         NaN    NaN          NaN\n",
        "1459           0.0      0   780.000         NaN    NaN          NaN\n",
        "1460           0.0      0   780.000         NaN    NaN          NaN\n",
        "1461           0.0      0   780.000         NaN    NaN          NaN\n",
        "1462           0.0      0   780.000         NaN    NaN          NaN\n",
        "1463           0.0      0   780.000         NaN    NaN          NaN\n",
        "1464           0.0      0   780.000         NaN    NaN          NaN\n",
        "1465           0.0      0   780.000         NaN    NaN          NaN\n",
        "1466           0.0      0   780.000         NaN    NaN          NaN\n",
        "1467           0.0      0   780.000         NaN    NaN          NaN\n",
        "1468           0.0      0   780.000         NaN    NaN          NaN\n",
        "1469           0.0      0   780.000         NaN    NaN          NaN\n",
        "1470           0.0      0   780.000         NaN    NaN          NaN\n",
        "1471           0.0      0   780.000         NaN    NaN          NaN\n",
        "1472           0.0      0   780.000         NaN    NaN          NaN\n",
        "1473           0.0      0   780.000         NaN    NaN          NaN\n",
        "1474           0.0      0   780.000         NaN    NaN          NaN\n",
        "1475           0.0      0   780.000         NaN    NaN          NaN\n",
        "1476           0.0      0   780.000         NaN    NaN          NaN\n",
        "1477           0.0      0   780.000         NaN    NaN          NaN\n",
        "1478           0.0      1   780.000         NaN    NaN          NaN\n",
        "1479           2.2      1   253.550         NaN    NaN          NaN\n",
        "1480           4.4      1   507.100         NaN    NaN          NaN\n",
        "1481           6.3      1   726.075         NaN    NaN          NaN\n",
        "1482           7.9      1   910.475         NaN    NaN          NaN\n",
        "1483           9.2      2   707.664         NaN    NaN          NaN\n",
        "1484          10.4      2   799.968         NaN    NaN          NaN\n",
        "1485          11.5      2   884.580         NaN    NaN          NaN\n",
        "1486          12.9      2   992.268         NaN    NaN          NaN\n",
        "1487          14.7      2  1130.724         NaN    NaN          NaN\n",
        "1488          17.0      2  1307.640         NaN    NaN          NaN\n",
        "1489          19.8      2  1523.016         NaN    NaN          NaN\n",
        "1490          23.1      2  1776.852         NaN    NaN          NaN\n",
        "1491          26.7      3  1380.390         NaN    NaN          NaN\n",
        "1492          30.5      3  1576.850         NaN    NaN          NaN\n",
        "1493          34.1      3  1762.970         NaN    NaN          NaN\n",
        "1494          37.5      4  1536.000         NaN    NaN          NaN\n",
        "1495          40.6      4  1662.976         NaN    NaN          NaN\n",
        "1496          43.3      4  1773.568         NaN    NaN          NaN\n",
        "1497          45.7      5  1442.749         NaN    NaN          NaN\n",
        "1498          47.7      5  1505.889         NaN    NaN          NaN\n",
        "1499          49.3      5  1556.401         NaN    NaN          NaN\n",
        "1500          50.5      5  1594.285         NaN    NaN          NaN\n",
        "1501          51.3      5  1619.541         NaN    NaN          NaN\n",
        "1502          52.1      5  1644.797         NaN    NaN          NaN\n",
        "1503          52.7      5  1663.739         NaN    NaN          NaN\n",
        "1504          53.4      6  1312.038         NaN    NaN          NaN\n",
        "1505          54.0      6  1326.780         NaN    NaN          NaN\n",
        "1506          54.5      6  1339.065         NaN    NaN          NaN\n",
        "1507          55.0      6  1351.350         NaN    NaN          NaN\n",
        "1508          55.6      6  1366.092         NaN    NaN          NaN\n",
        "1509          56.3      6  1383.291         NaN    NaN          NaN\n",
        "1510          57.2      6  1405.404         NaN    NaN          NaN\n",
        "1511          58.5      6  1437.345         NaN    NaN          NaN\n",
        "1512          60.2      6  1479.114         NaN    NaN          NaN\n",
        "1513          62.3      6  1530.711         NaN    NaN          NaN\n",
        "1514          64.7      6  1589.679         NaN    NaN          NaN\n",
        "1515          67.1      7  1382.931         NaN    NaN          NaN\n",
        "1516          69.2      7  1426.212         NaN    NaN          NaN\n",
        "1517          70.7      7  1457.127         NaN    NaN          NaN\n",
        "1518          71.9      7  1481.859         NaN    NaN          NaN\n",
        "1519          72.7      7  1498.347         NaN    NaN          NaN\n",
        "1520          73.4      7  1512.774         NaN    NaN          NaN\n",
        "1521          73.8      7  1521.018         NaN    NaN          NaN\n",
        "1522          74.1      7  1527.201         NaN    NaN          NaN\n",
        "1523          74.0      7  1525.140         NaN    NaN          NaN\n",
        "1524          73.6      7  1516.896         NaN    NaN          NaN\n",
        "1525          72.5      7  1494.225         NaN    NaN          NaN\n",
        "1526          70.8      7  1459.188         NaN    NaN          NaN\n",
        "1527          68.6      7  1413.846         NaN    NaN          NaN\n",
        "1528          66.2      7  1364.382         NaN    NaN          NaN\n",
        "1529          64.0      7  1319.040         NaN    NaN          NaN\n",
        "1530          62.2      6  1528.254         NaN    NaN          NaN\n",
        "1531          60.9      6  1496.313         NaN    NaN          NaN\n",
        "1532          60.2      6  1479.114         NaN    NaN          NaN\n",
        "1533          60.0      5  1894.200         NaN    NaN          NaN\n",
        "1534          60.4      5  1906.828         NaN    NaN          NaN\n",
        "1535          61.4      5  1938.398         NaN    NaN          NaN\n",
        "1536          63.2      5  1995.224         NaN    NaN          NaN\n",
        "1537          65.6      5  2070.992         NaN    NaN          NaN\n",
        "1538          68.4      5  2159.388         NaN    NaN          NaN\n",
        "1539          71.6      5  2260.412         NaN    NaN          NaN\n",
        "1540          74.9      5  2364.593         NaN    NaN          NaN\n",
        "1541          78.4      5  2475.088         NaN    NaN          NaN\n",
        "1542          81.8      5  2582.426         NaN    NaN          NaN\n",
        "1543          84.9      6  2085.993         NaN    NaN          NaN\n",
        "1544          87.4      6  2147.418         NaN    NaN          NaN\n",
        "1545          89.0      6  2186.730         NaN    NaN          NaN\n",
        "1546          90.0      7  1854.900         NaN    NaN          NaN\n",
        "1547          90.6      7  1867.266         NaN    NaN          NaN\n",
        "1548          91.0      7  1875.510         NaN    NaN          NaN\n",
        "1549          91.5      7  1885.815         NaN    NaN          NaN\n",
        "1550          92.0      7  1896.120         NaN    NaN          NaN\n",
        "1551          92.7      7  1910.547         NaN    NaN          NaN\n",
        "1552          93.4      7  1924.974         NaN    NaN          NaN\n",
        "1553          94.2      7  1941.462         NaN    NaN          NaN\n",
        "1554          94.9      7  1955.889         NaN    NaN          NaN\n",
        "1555          95.7      7  1972.377         NaN    NaN          NaN\n",
        "1556          96.6      7  1990.926         NaN    NaN          NaN\n",
        "1557          97.7      7  2013.597         NaN    NaN          NaN\n",
        "1558          98.9      7  2038.329         NaN    NaN          NaN\n",
        "1559         100.4      7  2069.244         NaN    NaN          NaN\n",
        "1560         102.0      7  2102.220         NaN    NaN          NaN\n",
        "1561         103.6      7  2135.196         NaN    NaN          NaN\n",
        "1562         105.2      7  2168.172         NaN    NaN          NaN\n",
        "1563         106.8      7  2201.148         NaN    NaN          NaN\n",
        "1564         108.5      7  2236.185         NaN    NaN          NaN\n",
        "1565         110.2      7  2271.222         NaN    NaN          NaN\n",
        "1566         111.9      7  2306.259         NaN    NaN          NaN\n",
        "1567         113.7      7  2343.357         NaN    NaN          NaN\n",
        "1568         115.3      7  2376.333         NaN    NaN          NaN\n",
        "1569         116.8      7  2407.248         NaN    NaN          NaN\n",
        "1570         118.2      7  2436.102         NaN    NaN          NaN\n",
        "1571         119.5      7  2462.895         NaN    NaN          NaN\n",
        "1572         120.7      7  2487.627         NaN    NaN          NaN\n",
        "1573         121.8      8  1996.302         NaN    NaN          NaN\n",
        "1574         122.6      8  2009.414         NaN    NaN          NaN\n",
        "1575         123.2      8  2019.248         NaN    NaN          NaN\n",
        "1576         123.6      8  2025.804         NaN    NaN          NaN\n",
        "1577         123.7      8  2027.443         NaN    NaN          NaN\n",
        "1578         123.6      8  2025.804         NaN    NaN          NaN\n",
        "1579         123.3      8  2020.887         NaN    NaN          NaN\n",
        "1580         123.0      8  2015.970         NaN    NaN          NaN\n",
        "1581         122.5      8  2007.775         NaN    NaN          NaN\n",
        "1582         122.1      8  2001.219         NaN    NaN          NaN\n",
        "1583         121.5      8  1991.385         NaN    NaN          NaN\n",
        "1584         120.8      8  1979.912         NaN    NaN          NaN\n",
        "1585         120.0      8  1966.800         NaN    NaN          NaN\n",
        "1586         119.1      8  1952.049         NaN    NaN          NaN\n",
        "1587         118.1      8  1935.659         NaN    NaN          NaN\n",
        "1588         117.1      8  1919.269         NaN    NaN          NaN\n",
        "1589         116.2      8  1904.518         NaN    NaN          NaN\n",
        "1590         115.5      8  1893.045         NaN    NaN          NaN\n",
        "1591         114.9      8  1883.211         NaN    NaN          NaN\n",
        "1592         114.5      8  1876.655         NaN    NaN          NaN\n",
        "1593         114.1      8  1870.099         NaN    NaN          NaN\n",
        "1594         113.9      8  1866.821         NaN    NaN          NaN\n",
        "1595         113.7      8  1863.543         NaN    NaN          NaN\n",
        "1596         113.3      8  1856.987         NaN    NaN          NaN\n",
        "1597         112.9      8  1850.431         NaN    NaN          NaN\n",
        "1598         112.2      8  1838.958         NaN    NaN          NaN\n",
        "1599         111.4      8  1825.846         NaN    NaN          NaN\n",
        "1600         110.5      8  1811.095         NaN    NaN          NaN\n",
        "1601         109.5      8  1794.705         NaN    NaN          NaN\n",
        "1602         108.5      8  1778.315         NaN    NaN          NaN\n",
        "1603         107.7      8  1765.203         NaN    NaN          NaN\n",
        "1604         107.1      8  1755.369         NaN    NaN          NaN\n",
        "1605         106.6      8  1747.174         NaN    NaN          NaN\n",
        "1606         106.4      8  1743.896         NaN    NaN          NaN\n",
        "1607         106.2      8  1740.618         NaN    NaN          NaN\n",
        "1608         106.2      8  1740.618         NaN    NaN          NaN\n",
        "1609         106.2      8  1740.618         NaN    NaN          NaN\n",
        "1610         106.4      8  1743.896         NaN    NaN          NaN\n",
        "1611         106.5      8  1745.535         NaN    NaN          NaN\n",
        "1612         106.8      8  1750.452         NaN    NaN          NaN\n",
        "1613         107.2      8  1757.008         NaN    NaN          NaN\n",
        "1614         107.8      8  1766.842         NaN    NaN          NaN\n",
        "1615         108.5      8  1778.315         NaN    NaN          NaN\n",
        "1616         109.4      8  1793.066         NaN    NaN          NaN\n",
        "1617         110.5      8  1811.095         NaN    NaN          NaN\n",
        "1618         111.7      8  1830.763         NaN    NaN          NaN\n",
        "1619         113.0      8  1852.070         NaN    NaN          NaN\n",
        "1620         114.1      8  1870.099         NaN    NaN          NaN\n",
        "1621         115.1      8  1886.489         NaN    NaN          NaN\n",
        "1622         115.9      8  1899.601         NaN    NaN          NaN\n",
        "1623         116.5      8  1909.435         NaN    NaN          NaN\n",
        "1624         116.7      8  1912.713         NaN    NaN          NaN\n",
        "1625         116.6      8  1911.074         NaN    NaN          NaN\n",
        "1626         116.2      8  1904.518         NaN    NaN          NaN\n",
        "1627         115.2      8  1888.128         NaN    NaN          NaN\n",
        "1628         113.8      8  1865.182         NaN    NaN          NaN\n",
        "1629         112.0      8  1835.680         NaN    NaN          NaN\n",
        "1630         110.1      8  1804.539         NaN    NaN          NaN\n",
        "1631         108.3      8  1775.037         NaN    NaN          NaN\n",
        "1632         107.0      8  1753.730         NaN    NaN          NaN\n",
        "1633         106.1      8  1738.979         NaN    NaN          NaN\n",
        "1634         105.8      8  1734.062         NaN    NaN          NaN\n",
        "1635         105.7      8  1732.423         NaN    NaN          NaN\n",
        "1636         105.7      8  1732.423         NaN    NaN          NaN\n",
        "1637         105.6      8  1730.784         NaN    NaN          NaN\n",
        "1638         105.3      8  1725.867         NaN    NaN          NaN\n",
        "1639         104.9      8  1719.311         NaN    NaN          NaN\n",
        "1640         104.4      8  1711.116         NaN    NaN          NaN\n",
        "1641         104.0      8  1704.560         NaN    NaN          NaN\n",
        "1642         103.8      7  2139.318         NaN    NaN          NaN\n",
        "1643         103.9      7  2141.379         NaN    NaN          NaN\n",
        "1644         104.4      7  2151.684         NaN    NaN          NaN\n",
        "1645         105.1      7  2166.111         NaN    NaN          NaN\n",
        "1646         106.1      7  2186.721         NaN    NaN          NaN\n",
        "1647         107.2      7  2209.392         NaN    NaN          NaN\n",
        "1648         108.5      7  2236.185         NaN    NaN          NaN\n",
        "1649         109.9      7  2265.039         NaN    NaN          NaN\n",
        "1650         111.3      7  2293.893         NaN    NaN          NaN\n",
        "1651         112.7      7  2322.747         NaN    NaN          NaN\n",
        "1652         113.9      8  1866.821         NaN    NaN          NaN\n",
        "1653         115.0      8  1884.850         NaN    NaN          NaN\n",
        "1654         116.0      8  1901.240         NaN    NaN          NaN\n",
        "1655         116.8      8  1914.352         NaN    NaN          NaN\n",
        "1656         117.6      8  1927.464         NaN    NaN          NaN\n",
        "1657         118.4      8  1940.576         NaN    NaN          NaN\n",
        "1658         119.2      8  1953.688         NaN    NaN          NaN\n",
        "1659         120.0      8  1966.800         NaN    NaN          NaN\n",
        "1660         120.8      8  1979.912         NaN    NaN          NaN\n",
        "1661         121.6      8  1993.024         NaN    NaN          NaN\n",
        "1662         122.3      8  2004.497         NaN    NaN          NaN\n",
        "1663         123.1      8  2017.609         NaN    NaN          NaN\n",
        "1664         123.8      8  2029.082         NaN    NaN          NaN\n",
        "1665         124.4      8  2038.916         NaN    NaN          NaN\n",
        "1666         125.0      8  2048.750         NaN    NaN          NaN\n",
        "1667         125.4      8  2055.306         NaN    NaN          NaN\n",
        "1668         125.8      8  2061.862         NaN    NaN          NaN\n",
        "1669         126.1      8  2066.779         NaN    NaN          NaN\n",
        "1670         126.4      8  2071.696         NaN    NaN          NaN\n",
        "1671         126.6      8  2074.974         NaN    NaN          NaN\n",
        "1672         126.7      8  2076.613         NaN    NaN          NaN\n",
        "1673         126.8      8  2078.252         NaN    NaN          NaN\n",
        "1674         126.9      8  2079.891         NaN    NaN          NaN\n",
        "1675         126.9      8  2079.891         NaN    NaN          NaN\n",
        "1676         126.9      8  2079.891         NaN    NaN          NaN\n",
        "1677         126.8      8  2078.252         NaN    NaN          NaN\n",
        "1678         126.6      8  2074.974         NaN    NaN          NaN\n",
        "1679         126.3      8  2070.057         NaN    NaN          NaN\n",
        "1680         126.0      8  2065.140         NaN    NaN          NaN\n",
        "1681         125.7      8  2060.223         NaN    NaN          NaN\n",
        "1682         125.6      8  2058.584         NaN    NaN          NaN\n",
        "1683         125.6      8  2058.584         NaN    NaN          NaN\n",
        "1684         125.8      8  2061.862         NaN    NaN          NaN\n",
        "1685         126.2      8  2068.418         NaN    NaN          NaN\n",
        "1686         126.6      8  2074.974         NaN    NaN          NaN\n",
        "1687         127.0      8  2081.530         NaN    NaN          NaN\n",
        "1688         127.4      8  2088.086         NaN    NaN          NaN\n",
        "1689         127.6      8  2091.364         NaN    NaN          NaN\n",
        "1690         127.8      8  2094.642         NaN    NaN          NaN\n",
        "1691         127.9      8  2096.281         NaN    NaN          NaN\n",
        "1692         128.0      8  2097.920         NaN    NaN          NaN\n",
        "1693         128.1      8  2099.559         NaN    NaN          NaN\n",
        "1694         128.2      8  2101.198         NaN    NaN          NaN\n",
        "1695         128.3      8  2102.837         NaN    NaN          NaN\n",
        "1696         128.4      8  2104.476         NaN    NaN          NaN\n",
        "1697         128.5      8  2106.115         NaN    NaN          NaN\n",
        "1698         128.6      8  2107.754         NaN    NaN          NaN\n",
        "1699         128.6      8  2107.754         NaN    NaN          NaN\n",
        "1700         128.5      8  2106.115         NaN    NaN          NaN\n",
        "1701         128.3      8  2102.837         NaN    NaN          NaN\n",
        "1702         128.1      8  2099.559         NaN    NaN          NaN\n",
        "1703         127.9      8  2096.281         NaN    NaN          NaN\n",
        "1704         127.6      8  2091.364         NaN    NaN          NaN\n",
        "1705         127.4      8  2088.086         NaN    NaN          NaN\n",
        "1706         127.2      8  2084.808         NaN    NaN          NaN\n",
        "1707         127.0      8  2081.530         NaN    NaN          NaN\n",
        "1708         126.9      8  2079.891         NaN    NaN          NaN\n",
        "1709         126.8      8  2078.252         NaN    NaN          NaN\n",
        "1710         126.7      8  2076.613         NaN    NaN          NaN\n",
        "1711         126.8      8  2078.252         NaN    NaN          NaN\n",
        "1712         126.9      8  2079.891         NaN    NaN          NaN\n",
        "1713         127.1      8  2083.169         NaN    NaN          NaN\n",
        "1714         127.4      8  2088.086         NaN    NaN          NaN\n",
        "1715         127.7      8  2093.003         NaN    NaN          NaN\n",
        "1716         128.1      8  2099.559         NaN    NaN          NaN\n",
        "1717         128.5      8  2106.115         NaN    NaN          NaN\n",
        "1718         129.0      8  2114.310         NaN    NaN          NaN\n",
        "1719         129.5      8  2122.505         NaN    NaN          NaN\n",
        "1720         130.1      8  2132.339         NaN    NaN          NaN\n",
        "1721         130.6      8  2140.534         NaN    NaN          NaN\n",
        "1722         131.0      8  2147.090         NaN    NaN          NaN\n",
        "1723         131.2      8  2150.368         NaN    NaN          NaN\n",
        "1724         131.3      8  2152.007         NaN    NaN          NaN\n",
        "1725         131.2      8  2150.368         NaN    NaN          NaN\n",
        "1726         130.7      8  2142.173         NaN    NaN          NaN\n",
        "1727         129.8      8  2127.422         NaN    NaN          NaN\n",
        "1728         128.4      8  2104.476         NaN    NaN          NaN\n",
        "1729         126.5      8  2073.335         NaN    NaN          NaN\n",
        "1730         124.1      8  2033.999         NaN    NaN          NaN\n",
        "1731         121.6      8  1993.024         NaN    NaN          NaN\n",
        "1732         119.0      8  1950.410         NaN    NaN          NaN\n",
        "1733         116.5      8  1909.435         NaN    NaN          NaN\n",
        "1734         114.1      8  1870.099         NaN    NaN          NaN\n",
        "1735         111.8      8  1832.402         NaN    NaN          NaN\n",
        "1736         109.5      8  1794.705         NaN    NaN          NaN\n",
        "1737         107.1      8  1755.369         NaN    NaN          NaN\n",
        "1738         104.8      8  1717.672         NaN    NaN          NaN\n",
        "1739         102.5      8  1679.975         NaN    NaN          NaN\n",
        "1740         100.4      8  1645.556         NaN    NaN          NaN\n",
        "1741          98.6      8  1616.054         NaN    NaN          NaN\n",
        "1742          97.2      8  1593.108         NaN    NaN          NaN\n",
        "1743          95.9      8  1571.801         NaN    NaN          NaN\n",
        "1744          94.8      8  1553.772         NaN    NaN          NaN\n",
        "1745          93.8      8  1537.382         NaN    NaN          NaN\n",
        "1746          92.8      8  1520.992         NaN    NaN          NaN\n",
        "1747          91.8      8  1504.602         NaN    NaN          NaN\n",
        "1748          91.0      8  1491.490         NaN    NaN          NaN\n",
        "1749          90.2      8  1478.378         NaN    NaN          NaN\n",
        "1750          89.6      8  1468.544         NaN    NaN          NaN\n",
        "1751          89.1      8  1460.349         NaN    NaN          NaN\n",
        "1752          88.6      8  1452.154         NaN    NaN          NaN\n",
        "1753          88.1      8  1443.959         NaN    NaN          NaN\n",
        "1754          87.6      8  1435.764         NaN    NaN          NaN\n",
        "1755          87.1      8  1427.569         NaN    NaN          NaN\n",
        "1756          86.6      8  1419.374         NaN    NaN          NaN\n",
        "1757          86.1      8  1411.179         NaN    NaN          NaN\n",
        "1758          85.5      8  1401.345         NaN    NaN          NaN\n",
        "1759          85.0      8  1393.150         NaN    NaN          NaN\n",
        "1760          84.4      8  1383.316         NaN    NaN          NaN\n",
        "1761          83.8      8  1373.482         NaN    NaN          NaN\n",
        "1762          83.2      8  1363.648         NaN    NaN          NaN\n",
        "1763          82.6      8  1353.814         NaN    NaN          NaN\n",
        "1764          82.0      8  1343.980         NaN    NaN          NaN\n",
        "1765          81.3      8  1332.507         NaN    NaN          NaN\n",
        "1766          80.4      8  1317.756         NaN    NaN          NaN\n",
        "1767          79.1      7  1630.251         NaN    NaN          NaN\n",
        "1768          77.4      7  1595.214         NaN    NaN          NaN\n",
        "1769          75.1      7  1547.811         NaN    NaN          NaN\n",
        "1770          72.3      7  1490.103         NaN    NaN          NaN\n",
        "1771          69.1      7  1424.151         NaN    NaN          NaN\n",
        "1772          65.9      7  1358.199         NaN    NaN          NaN\n",
        "1773          62.7      6  1540.539         NaN    NaN          NaN\n",
        "1774          59.7      6  1466.829         NaN    NaN          NaN\n",
        "1775          57.0      6  1400.490         NaN    NaN          NaN\n",
        "1776          54.6      6  1341.522         NaN    NaN          NaN\n",
        "1777          52.2      5  1647.954         NaN    NaN          NaN\n",
        "1778          49.7      5  1569.029         NaN    NaN          NaN\n",
        "1779          46.8      5  1477.476         NaN    NaN          NaN\n",
        "1780          43.5      5  1373.295         NaN    NaN          NaN\n",
        "1781          39.9      4  1634.304         NaN    NaN          NaN\n",
        "1782          36.4      4  1490.944         NaN    NaN          NaN\n",
        "1783          33.2      4  1359.872         NaN    NaN          NaN\n",
        "1784          30.5      3  1576.850         NaN    NaN          NaN\n",
        "1785          28.3      3  1463.110         NaN    NaN          NaN\n",
        "1786          26.3      3  1359.710         NaN    NaN          NaN\n",
        "1787          24.4      2  1876.848         NaN    NaN          NaN\n",
        "1788          22.5      2  1730.700         NaN    NaN          NaN\n",
        "1789          20.5      2  1576.860         NaN    NaN          NaN\n",
        "1790          18.2      2  1399.944         NaN    NaN          NaN\n",
        "1791          15.5      2  1192.260         NaN    NaN          NaN\n",
        "1792          12.3      2   946.116         NaN    NaN          NaN\n",
        "1793           8.7      0   142.593         NaN    NaN          NaN\n",
        "1794           5.2      0    85.228         NaN    NaN          NaN\n",
        "1795           0.0      0   780.000         NaN    NaN          NaN\n",
        "1796           0.0      0   780.000         NaN    NaN          NaN\n",
        "1797           0.0      0   780.000         NaN    NaN          NaN\n",
        "1798           0.0      0   780.000         NaN    NaN          NaN\n",
        "1799           0.0      0   780.000         NaN    NaN          NaN\n",
        "1800           0.0      0   780.000         NaN    NaN          NaN\n",
        "\n",
        "[1801 rows x 6 columns]"
       ]
      },
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr>\n",
        "      <th>Cycle</th>\n",
        "      <th colspan=\"3\" halign=\"left\">WLTC</th>\n",
        "      <th colspan=\"3\" halign=\"left\">NEDC</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>quantity</th>\n",
        "      <th>v_target</th>\n",
        "      <th>gears</th>\n",
        "      <th>rpm</th>\n",
        "      <th>v_target</th>\n",
        "      <th>gears</th>\n",
        "      <th>rpm</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>count</th>\n",
        "      <td> 1801.000000</td>\n",
        "      <td> 1801.000000</td>\n",
        "      <td> 1801.000000</td>\n",
        "      <td> 1180.000000</td>\n",
        "      <td> 1180.000000</td>\n",
        "      <td> 1180.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mean</th>\n",
        "      <td>   46.506718</td>\n",
        "      <td>    4.199334</td>\n",
        "      <td> 1412.153955</td>\n",
        "      <td>   33.599571</td>\n",
        "      <td>    3.345763</td>\n",
        "      <td> 1239.223379</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>std</th>\n",
        "      <td>   36.119280</td>\n",
        "      <td>    2.737338</td>\n",
        "      <td>  429.986115</td>\n",
        "      <td>   30.950166</td>\n",
        "      <td>    2.694972</td>\n",
        "      <td>  403.783633</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>min</th>\n",
        "      <td>    0.000000</td>\n",
        "      <td>    0.000000</td>\n",
        "      <td>    3.278000</td>\n",
        "      <td>    0.000000</td>\n",
        "      <td>    0.000000</td>\n",
        "      <td>   54.627869</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>25%</th>\n",
        "      <td>   17.700000</td>\n",
        "      <td>    2.000000</td>\n",
        "      <td> 1310.155000</td>\n",
        "      <td>    3.000000</td>\n",
        "      <td>    0.000000</td>\n",
        "      <td>  780.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50%</th>\n",
        "      <td>   41.500000</td>\n",
        "      <td>    4.000000</td>\n",
        "      <td> 1469.286000</td>\n",
        "      <td>   32.000000</td>\n",
        "      <td>    4.000000</td>\n",
        "      <td> 1347.576560</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>75%</th>\n",
        "      <td>   68.700000</td>\n",
        "      <td>    7.000000</td>\n",
        "      <td> 1630.251000</td>\n",
        "      <td>   50.000000</td>\n",
        "      <td>    5.000000</td>\n",
        "      <td> 1550.197228</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>max</th>\n",
        "      <td>  131.300000</td>\n",
        "      <td>    8.000000</td>\n",
        "      <td> 3122.952000</td>\n",
        "      <td>  120.000000</td>\n",
        "      <td>    8.000000</td>\n",
        "      <td> 2307.600000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>8 rows \u00d7 6 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "display_data",
       "text": [
        "Cycle            WLTC                                   NEDC               \\\n",
        "quantity     v_target        gears          rpm     v_target        gears   \n",
        "count     1801.000000  1801.000000  1801.000000  1180.000000  1180.000000   \n",
        "mean        46.506718     4.199334  1412.153955    33.599571     3.345763   \n",
        "std         36.119280     2.737338   429.986115    30.950166     2.694972   \n",
        "min          0.000000     0.000000     3.278000     0.000000     0.000000   \n",
        "25%         17.700000     2.000000  1310.155000     3.000000     0.000000   \n",
        "50%         41.500000     4.000000  1469.286000    32.000000     4.000000   \n",
        "75%         68.700000     7.000000  1630.251000    50.000000     5.000000   \n",
        "max        131.300000     8.000000  3122.952000   120.000000     8.000000   \n",
        "\n",
        "Cycle                  \n",
        "quantity          rpm  \n",
        "count     1180.000000  \n",
        "mean      1239.223379  \n",
        "std        403.783633  \n",
        "min         54.627869  \n",
        "25%        780.000000  \n",
        "50%       1347.576560  \n",
        "75%       1550.197228  \n",
        "max       2307.600000  \n",
        "\n",
        "[8 rows x 6 columns]"
       ]
      }
     ],
     "prompt_number": 35
    }
   ],
   "metadata": {}
  }
 ]
}