Skip to content

Instantly share code, notes, and snippets.

@nonZero

nonZero/Ofir_Plotting.ipynb

Created May 10, 2021 13:21
Show Gist options
  • Save nonZero/6f87132938d01a0bdc245be7001fc5ff to your computer and use it in GitHub Desktop.
Save nonZero/6f87132938d01a0bdc245be7001fc5ff to your computer and use it in GitHub Desktop.
Download ZIP
Display the source blob
Display the rendered blob
Raw
Ofir_Plotting.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>a</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>(1, 2, 3)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>(4, 5, 6)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>(10, 20, 30)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>(1, 2, 3)</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" a\n",
"0 (1, 2, 3)\n",
"1 (4, 5, 6)\n",
"2 (10, 20, 30)\n",
"3 (1, 2, 3)"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = pd.DataFrame({\n",
" 'a': [(1,2,3), (4,5,6), (10,20,30), (1,2,3)]\n",
"})\n",
"df"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAXAAAAD4CAYAAAD1jb0+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAABHuUlEQVR4nO3dd1zWVf/H8ddhiSigDBVBRFwIDlAUbTruytya5WyXZmmZtksr9a67Mi3TX91WluVeudLKyu6WorgZIk5EARmy1zXO748vuQfjmnCej4cP8RrnfK6wt4fzPd9zhJQSRVEUxf44WLsARVEUpWpUgCuKotgpFeCKoih2SgW4oiiKnVIBriiKYqecLNmZj4+PDAoKsmSXiqIodm/Pnj2ZUkrfKx+3aIAHBQURExNjyS4VRVHsnhDi1LUeV1MoiqIodkoFuKIoip1SAa4oimKnLDoHriiKYi06nY6UlBRKSkqsXcp1ubq6EhAQgLOzc4VerwJcUZRaISUlBXd3d4KCghBCWLucq0gpycrKIiUlhRYtWlToPTedQhFCuAohdgkhDggh4oQQb5c/3kIIES2EOCqEWCmEcKlm/YqiKGZTUlKCt7e3TYY3gBACb2/vSv2EUJE58FKgt5SyExAO9BVCdAfeA+ZKKVsB54HHK1+yoiiK5dhqeP+jsvXdNMClpqD8j87lvyTQG1hT/vhiYEilelYUxeQSsxPZnbbb2mUoFlKhVShCCEchxH7gHLANOAbkSCn15S9JAfyv895xQogYIURMRkaGCUpWFOVa8sryGL9tPBN+nkBaYZq1y1EsoEIBLqU0SCnDgQCgGxBS0Q6klAullJFSykhf36vuBFUUxUTm7Z3H+dLzGKWRT/Z9Yu1yFAuo1DpwKWUOsB3oATQQQvyziiUAOGPa0hRFqaiDGQdZlbiK0SGjGdtuLJuObSIxO9HaZSmX2L17Nx07dqSkpITCwkLCwsKIjY2tVps3XUYohPAFdFLKHCFEXeAutAuY24HhwArgYWBDtSpRFKVK9EY9M3bMwNfNl4kREzFIA+uOrmN2zGwW3rXQ5i/cWcPbm+KIP5tn0jZDm3rw5sCw6z7ftWtXBg0axBtvvEFxcTFjx46lffv21eqzIiNwP2C7EOIgsBvYJqXcDLwMTBFCHAW8gS+rVYmiKFWyNGEpiecTebXbq9RzroeHiwfjO45nZ+pO/jr7l7XLUy4xffp0tm3bRkxMDC+99FK127vpCFxKeRCIuMbjx9HmwxVFsZLUglQW7F/AnQF30iewz4XHR7YdyfLDy/kw5kN6+PXA0cHRilXanhuNlM0pKyuLgoICdDodJSUl1KtXr1rtqb1QFMWOvbvrXQBei3rtsqkSZ0dnnuv8HEdzjrLx2EZrladcYfz48cycOZMxY8bw8ssvV7s9FeCKYqd+Tf6V7ae3M6HTBJrWb3rV83c3v5uOvh2Zv28+RboiK1SoXOqbb77B2dmZ0aNH88orr7B7925+/fXXarWpAlxR7FCRroh3d71L64atGRs69pqvEULwQuQLnCs+x7fx31q4QuVKDz30EGvXrgXA0dGR6OhoevfuXa02VYArih36v/3/R1phGtO7T8fZ4fo710U0iqBPYB8WxS4iszjTghUqlqACXFHsTGJ2IksSljC8zXDCG4Xf9PWTO0+mzFDGZwc+M39xikWpAFcUO2IwGpixYwaedTyZ3Hlyhd4T5BnE8DbDWXNkDcdzj5u3QMWiVIArih1Zc2QNBzMP8mLXF/Gs41nh900In4Crkytz98w1Y3WKpakAVxQ7kVmcycd7PybKL4r+LfpX6r1erl480eEJfjv9GzFpMeYpULE4FeCKYife3/0+JYYS3oh6o0q3x49tN5bGbo35MOZDjNJohgoVS1MBrih24O8zf7P1xFae7PAkQZ5BVWrD1cmVSRGTiM2K5ceTP5q2QMUqVIArio0r0ZcwK3oWQR5BPN6hegdfDQgeQNuGbfl478eUGcpMVKFiLSrAFcXGfXHoC07nn+aN7m/g4li9o2cdHRyZEjmFMwVnWH54uYkqVCpi+vTpfPTRRxf+/Prrr/Pxxx9Xq011Kr2i2LDjucf5MvZLBgQPIMovyiRt3tL0Fm5teisLDy5kSKshlVrNUmNsfQXSDpm2zSYd4N7/XPfpxx57jGHDhjF58mSMRiMrVqxg165d1epSjcAVxUZJKZm5YyZuTm68EPmCSdt+vsvz5Jfl8/nBz03arnJ9QUFBeHt7s2/fPn766SciIiLw9vauVptqBK4oNmrjsY3EpMfwZo838a5bvf/Rr9TWqy2DWw1m2eFljAwZSYB7gEnbt3k3GCmb0xNPPMHXX39NWloajz32WLXbUyNwRbFBOSU5fBjzIeG+4QxrPcwsfUwMn4ijcGTe3nlmaV+52tChQ/nhhx/YvXs399xzT7XbUwGuKDZo7t655JflM63HNByEef43bVyvMQ+FPcTWk1uJzaze2YxKxbi4uNCrVy8eeOABHB2rf8iGCnBFsTF70vewLmkdD4Y9SJuGbcza12PtH8PL1YvZMbORUpq1LwWMRiM7d+7k8certxz0HyrAFcWG6Aw6Zu6YSdN6TXmq41Nm76+ecz2e7vQ0e9L38Nvp38zeX20WHx9Pq1at6NOnD61btzZJm+oipqLYkMXxizmWe4z5vefj5uxmkT6HtRnGkoQlzN07l9sDbsfJQcWCOYSGhnL8uGl3g1QjcEWxEafzT/PZgc/4V+C/uLPZnRbr19nBmee7PM+J3BOsS1pnsX6V6lMBrig2QErJO9Hv4Cgceblb9Q+7raxezXrRuVFnFuxfQKGu0OL9K1WjAlxRbMBPp37izzN/MiliEk3qNbF4//+cn5ldks2i2EUW71+pGhXgimJl+WX5vLfrPdp5tWNkyEir1dHBtwP3Bt3LN3HfkF6YbrU6lIpTAa4oVjZ/33wyizOZ3mO61S8gPtv5WQzSwIL9C6xah1IxNw1wIUQzIcR2IUS8ECJOCPFc+eNvCSHOCCH2l//qZ/5yFaVmicuMY/nh5YwMGUl7n/bWLocA9wBGhYxi/dH1HDl/xNrlKDdRkRG4HpgqpQwFugPPCCFCy5+bK6UML/+1xWxVKkoNpDfqeXvH2/jU9WFSxCRrl3PBuI7jqO9Snzl75li7lBrls88+Izw8nPDwcFq0aEGvXr2q3eZNf16TUqYCqeVf5wshEgD/avesKLXcisMrSMhO4IM7P8Ddxd3a5VzgWceT8R3HMztmNjvO7qBH0x7WLsnk3tv1HoezD5u0zRCvkBuuIHrqqad46qmn0Ol09O7dmylTplS7z0rNgQshgoAIILr8oYlCiINCiEVCiIbXec84IUSMECImIyOjetUqSg2RXpjOJ/s+4Vb/W7mnefU3NTK1USGj8K/vz5w9c9T5mSb23HPP0bt3bwYOHFjttip8xUQIUR9YC0yWUuYJIT4FZgKy/PcPgav2R5RSLgQWAkRGRqrNFhQFeG/3exikgdejXq/SAcXm5uLowrMRz/LyHy+z+fhmBrUcZO2STMoaa+0Bvv76a06dOsX8+fNN0l6FRuBCCGe08F4qpVwHIKVMl1IapJRG4HOgm0kqUpQa7veU39l2ahtPdXqKZu7NrF3OdfVt0Zcw7zDm7Z1Hib7E2uXYvT179jB79myWLFmCg4NpFgBWZBWKAL4EEqSUcy553O+Slw0F1H6UinITRboi/r3z37T0bMnDoQ9bu5wbchAOTI2cSnpROksSlli7HLs3f/58srOz6dWrF+Hh4TzxxBPVbrMiUyi3Ag8Ch4QQ+8sfew0YJYQIR5tCOQmMr3Y1ilLDfXbwM84WnuXrvl/j7Ohs7XJuqmuTrvRs1pMvDn3BsNbD8HL1snZJduurr74yeZs3HYFLKf+UUgopZcdLlwxKKR+UUnYof3xQ+WoVRVGu48j5I3wb9y1DWw2lS+Mu1i6nwp7v8jwl+hI+O/CZtUtRrqDuxFQUCzBKIzN3zMTdxZ0pXaq/fMySgj2Dua/1faxOXM3J3JPWLke5hApwRbGAdUnr2J+xn6mRU2ng2sDa5VTahPAJuDi68PHej61dSrXY+qlDla1PBbiimFlWcRZz98wlsnGk3S7H86nrw6PtH+Xn5J/Zd26ftcupEldXV7Kysmw2xKWUZGVl4erqWuH3qKM3FMXMPoz5kCJ9EdN6TLPJNd8V9VDoQ6xKXMXsmNksuXeJ3X2WgIAAUlJSsOUbCl1dXQkICKjw61WAK4oZRadGs+n4JsZ1HEewZ7C1y6kWN2c3JkZM5M2/3+SnUz9xT5Dt3UF6I87OzrRo0cLaZZiUmkJRFDMpM5Qxa+csmrk348kOT1q7HJMY3HIwrRq04uO9H6Mz6KxdTq2nAlxRzOTLQ19yMu8kb0S9gatTxec1bZmjgyNTI6dyOv80KxNXWrucWk8FuKKYwam8U3x+6HPuDbqXW/xvsXY5JnVr01vp7tedzw5+Rl5ZnrXLqdVUgCuKiUkpmblzJq6OrrzU7SVrl2NyQgimRk4lrzSPLw59Ye1yajUV4IpiYt+f+J7o1Gie6/wcPnV9rF2OWYR4hTCw5UCWxi/lbMFZa5dTa6kAVxQTyi3N5YPdH9DBpwPD2wy3djlmNSliEkIIPtn3ibVLqbVUgCuKCX2892NyS3OZ3mM6jg6O1i7HrJrUa8LYdmPZfHwz8Vnx1i6nVlIBrigmsv/cflYfWc2YdmMI8QqxdjkW8XiHx2lYpyEfxnxos3c41mQqwBXFBHRGHTN2zqCxW2OeCX/G2uVYjLuLO091eopdabv448wf1i6n1lEBrigmsCR+CUnnk3g16lXcnN2sXY5F3d/2fpp7NGdOzBz0Rr21y6lVVIArSjWdLTjLpwc+pWeznvQJ7GPtcizO2cGZyZ0ncyz3GOuPrrd2ObWKCnBFqQYpJe9EvwPAa91es3I11tMnsA8RjSJYsH8BRboia5dTa6gAV5Rq+DX5V/6X8j+eCX8Gv/p+N39DDSWEYEqXKWQWZ7I4brG1y6k1VIArShUV6gp5Z9c7tGnYhtHtRlu7HKsLbxTOXc3v4qu4r8gszrR2ObWCCnBFqaL5++aTUZTB9B7TcXaw/QOKLWFy58nojDoW7F9g7VJqBRXgilIFCVkJLDu8jPvb3E8n307WLsdmBHoEMqLtCNYlreNYzjFrl1PjqQBXlEoyGA3M2DGDBnUa8FyX56xdjs0Z33E89ZzqMWfPHGuXUuOpAFeUSlp1ZBWxWbG81PUlPFw8rF2OzWno2pAnOj7B7ym/syt1l7XLqdFUgCtKJZwrOse8vfPo7tedfi36WbscmzWm3Rj86vkxO2Y2Rmm0djk1lgpwRamED3Z/QJmhjGnd7fuAYnOr41iHSRGTSMhOYMuJLdYup8a6aYALIZoJIbYLIeKFEHFCiOfKH/cSQmwTQiSV/97Q/OUqivX8deYvfjj5A092fJJAj0Brl2Pz+gf3p51XO+btnUepodTa5dRIFRmB64GpUspQoDvwjBAiFHgF+EVK2Rr4pfzPilIjlehLmLVzFkEeQTzW/jFrl2MXHIQDUyOnklqYyrKEZdYup0a6aYBLKVOllHvLv84HEgB/YDDwzy1Xi4EhZqpRUaxu4cGFpBSkMK37NFwcXaxdzvXlnYXMJGtXcUGUXxS3+9/O5wc/J6ckx9rl1DiVmgMXQgQBEUA00FhKmVr+VBrQ+DrvGSeEiBFCxGRkZFSnVkWximM5x/gq7isGtRxEN79u1i7n+s4lwGe3w3/vhLRYa1dzwZQuUyjUF/Lfg/+1dik1ToUDXAhRH1gLTJZSXnYUtdR2cr/mbu5SyoVSykgpZaSvr2+1ilUUS5NSMmPHDOo512Nq5FRrl3N95w7D4oHg4AiuHrB8FBTaxu3srRq2YmiroaxIXMHpvNPWLqdGqVCACyGc0cJ7qZRyXfnD6UIIv/Ln/YBz5ilRUaxn/dH17D23lyldpuDl6mXtcq4t44gW3sIBHt4MI5dC4TlY+SDoy6xdHQDPhD+Ds4MzH+39yNql1CgVWYUigC+BBCnlpbdWbQQeLv/6YWCD6ctTFOs5X3KeOXvmENEogiGthli7nGvLTILFA7SvH94Evm3AvwsMXgDJf8P3U8AGjjrzdfPlkbBH+OnUTxzIOGDtcmqMiozAbwUeBHoLIfaX/+oH/Ae4SwiRBPyr/M+KUmN8GPMhBWUFTO8+HQdhg7dMZB6FrweANJaHd9uLz3UYDre/APu+hejPrFfjJR4JewSfuj7q/EwTcrrZC6SUfwLXu2Oh9h0/otQKu9N2s+HYBh5v/zitGraydjlXyzqmjbyNenhkMzS6xiHKvV6HjMPw42vg0xpa/cvydV7CzdmNp8OfZsaOGfya/Ct9mqv4qC4bHFYoinXpDDpm7ZyFf31/xncab+1yrpZ1TBt5G8q0kXejdtd+nYMDDP0vNAqF1Y/ZxPLCoa2GEuwZzNy9c9EZddYux+6pAFeUK3wV9xXHc4/zWtRr1HWqa+1yLpd9XLtgqS/Rwrtx6I1fX6c+jFoOjs6wbAQUn7dMndfh5ODElC5TOJV3ijVH1li1lppABbiiXOJ03mkWHlzIXc3v4o6AO6xdzuWyT8DXA0FXDA9vhMZhFXtfg0BtZUpOMqx+BAzWPTn+joA76NakG5/u/5T8snyr1mLvVIArSjkpJbOiZ+Hk4MQr3WxsZ4jzJ7WRt64QHtoATTpU7v2B3WHAXDj+mzYnbkVCCKZETuF86XkWxS6yai32TgW4opT78eSP/H32byZFTKKRWyNrl3PR+VPayLs0Xwtvv45Va6fzg9BjIuz6L8R8ZdoaKynMO4z+wf35Nv5b0grTrFqLPVMBrihAXlke7+1+j1DvUEa2HWntci7KSdZWm5Tmlod3NY9vu2uGthplywtw8k/T1FhFz0Y8i5SST/Z9YtU67JkKcEUB5u2dR3ZJNtN7TMfRwdHa5WhyTsPX/aGkPLybhle/TQdHGL4IvIK1OzWzT1S/zSpqWr8pY9qNYdOxTSRmJ1qtDnumAlyp9Q5lHGJV4ipGhYwizLuCFwbNLTdFC+/iXHjwO2gaYbq2XT1h1ArtBqDlo6Ak7+bvMZMnOj6BRx0PPoz50Go12DMV4EqtpjfqmbFzBr51fZkYPtHa5Whyz5SH93ktvP27mL4P75bwwGLIPALrngSjwfR9VICHiwfjO45nR+oO/jrzl1VqsGcqwJVabVnCMg5nH+blbi9T36W+tcvR9vP+uj8UZmnhHWCG8P5HcE+49z048gP8MsN8/dzEyLYjCagfwId7PsRgpX9I7JUKcKXWSitMY/7++dzufzt3Nb/L2uWUh/cAbRvYB9dBQKT5++z6BEQ+Bn99BAdWmr+/a3B2dGZyl8kknU9i47GNVqnBXqkAV2qtd6PfRUrJ691ft/4BxXmp2jrvgnQYuxaaWejgCCHg3vch6HbYOAlO77ZMv1e4u/nddPTtyPx98ynSFVmlBnukAlyplbYnb+fX07/yVKen8K/vb91i8tO08M5L1cI7MMqy/Ts6wwPfgIcfrBitzcFbmBCCFyJf4FzxOb6N/9bi/dsrFeBKrVOkK+LdXe/SqkErHgp7yLrF5KeXh/dZGLtGu2PSGty8tJUpumJYMQrKLD8KjmgUQZ/APiyKXURmsW2cJmTrVIArtc6nBz4ltTCV6T2m4+zgbL1CCs5p4Z2bAmNWQ/NbrFcLaLsaDv8SUg/C+glWOQhicufJlBnK+OyAbexhbutUgCu1SmJ2It/Gf8t9re8jopEJ11ZXVkFGeXif1sI76Fbr1XKpNvfAXW9D/Hr43/sW7z7IM4jhbYaz5sgajucet3j/9kYFuFJrGKWRGTtn4OHiwfNdnrdeIYWZWnifPwWjV0LQbdar5VpueRY6jYLf3oF4y5+UOCF8Aq5Orny05yOL921vVIArtcaaI2s4mHGQF7q+gGcdT+sUUZgJiwfB+RNaeLewsS1rQVuZMuAjCOgG3z0FqZY9w9LL1YvH2z/O9tPb2ZO+x6J92xsV4EqtkFmcyUd7P6Jbk24MDB5onSIKs+CbwZB9TLtgGHyndeqoCGdXGLEE6jaE5aO1+XoLGhs6lsZujZm9ezZGabRo3/ZEBbhSK3yw+wNK9CW80f0N66z5LsrWwjszSTshp2Uvy9dQWe6NtVqLs2HFGNCXWqzruk51mRQxidisWH48+aPF+rU3KsCVGm/H2R1sObGFxzs8TgvPFpYvoCgbvhmk7Tsyahm07G35GqrKrxMM+RRSdsGm5yy6MmVA8ADaNmzLx3s/psxQZrF+7YkKcKVGKzWU8u/ofxPoHsgTHZ6wfAH/jLwzEmHkMqufDF8lYUOg56twYDn8bbm9ux0dHJkSOYUzBWdYfni5xfq1JyrAlRrti0NfcCrvFG90f4M6jnUs23nxefh2KGQchhFLobUdhvc/7ngJQofAtulw5CeLdXtL01u4temtLDy4kNzSXIv1ay9UgCs11oncE3x56Ev6tehHj6Y9LNt5cY4W3ulx2sXANndbtn9Tc3DQplL8OsKax+DcYYt1/XyX58kvy+fzg59brE97oQJcqZGklMzaOQtXJ1de7PqiZTsvydXCOy0WRnyr3RxTE7i4adNAznVh+QhtesgC2nq1ZXCrwSw7vIyU/BSL9GkvbhrgQohFQohzQojYSx57SwhxRgixv/xXP/OWqSiVs/n4Znal7WJy58n41PWxXMclufDtMEg7pG0Q1fZey/VtCZ4BWojnpcKqh8Cgs0i3E8Mn4igcmbdvnkX6sxcVGYF/DfS9xuNzpZTh5b+2mLYsRam63NJcZsfMpqNvR4a3GW65jkvyYMl9kLof7v8aQmrouKZZVxg0D07+AVtftkiXjes15qGwh9h6YiuxmbE3f0MtcdMAl1L+DljmZyVFMYG5e+aSW5rL9O7TcRAWmiUszdfC++w+LbzbDbBMv9bSaSTc+hzEfAm7LDM3/Vj7x/By9WJ2zGykFTbaskXV+ds9UQhxsHyKpeH1XiSEGCeEiBFCxGRkZFSjO0W5ub3pe1mbtJYHQx+krVdby3Ramg9LhsOZPdqJ7+2sdKenpfV5E9r01Ubhx38ze3f1nOvxdKen2ZO+h99Om78/e1DVAP8UaAmEA6nAdY+UllIulFJGSikjfX19q9idotyczqhj5s6Z+NXzY0KnCZbptLQAlt4PKbu1rVhDB1umX1vg4AjDPgefNrDqYcg6ZvYuh7UZRpBHEHP3zkVv1Ju9P1tXpQCXUqZLKQ1SSiPwOWCh858U5fq+ifuGozlHebXbq7g5u5m/w3/C+/QuuO8LCBtq/j5tjauHdru9cIDlI7WLuGbk7ODM812e50TuCdYlrTNrX/agSgEuhPC75I9DAXVVQbGqlPwUPjvwGb2b9aZXoAX2GSkrhGUj4PROGLYQ2g8zf5+2yquFtuIm+7i2RtzMJ8v3ataLzo06s2D/Agp1hWbty9ZVZBnhcmAH0FYIkSKEeBx4XwhxSAhxEOgFWHFzZaW2k1LyTvQ7OAgHXo161fwdlhVp4Z38NwxdCB0suNLFVrW4HfrNhqM/a3drmtE/52dml2TzVexXZu3L1jnd7AVSylHXePhLM9SiKFXyc/LP/HHmD16MfJEm9ZqYt7OyIu0mllN/wdD/Qsf7zdufPYl8FM4lwI752vFsEWPN1lUH3w70DerLN/Hf8EDbB2jk1shsfdkydSemYtcKygr4T/R/CPEKYXS70ebtTFeszfOe+EO7rbzjA+btzx7d8w4E94RNkyF5p1m7eq7zc+iNehbsX2DWfmyZCnDFrs3fP5+M4gymd5+Ok8NNf6CsOl0xLB8FJ36HIf+nrYNWrubopK2DbxAIK8dCTrLZugpwD2BUyCi+S/qOI+ePmK0fW6YCXLFbcVlxLD+8nAfaPkAH3w7m60hXAitGa2udBy+AcDOP9O1d3YbaiUP6Mu00n9ICs3U1ruM46rvUZ86eOWbrw5apAFfsksFoYMaOGXi5evFc5+fM15GuBFaOgWPbYdAnEDHGfH3VJL5t4P5FcC4OvhsPRvMci+ZZx5PxHcfz15m/2HF2h1n6sGUqwBW7tCJxBfFZ8bzU9SXcXdzN04m+VJsGOPqztvdH5wfN009N1epfcPe/4fBm+O1ds3UzKmQU/vX9mbNnTq07P1MFuGJ30gvT+WTfJ9zS9Bb6Bl1rnzUT0JfCygfh6DYY+DF0fsg8/dR03SdAxIPw+/sQu9YsXbg4uvBsxLMczj7M5uObzdKHrVIBrtid93a/h96o540oMx1QrC/VtkpN+hEGfARdHjF9H7WFENB/DgT2gPVPw5m9Zummb4u+hHmH8cm+TyjRl5ilD1ukAlyxK7+n/M62U9sY13EczTyamb4DfRmsfgSO/KAFT+Sjpu+jtnFygQe+hXqNtIvBeakm78JBODA1cipphWksSVhi8vZtlQpwxW4U64t5J/odWni24JGwR0zfwT/hnbhFu6uw6+Om76O2qu+r7ZlSkqeFuK7Y5F10bdKVns168uWhL8kuqR07YKsAV+zGfw/8lzMFZ5jWfRouji6mbdyggzWPQuL3cO8H0O1J07avQJP22r4xZ/fCxklghj29n+/yPMX6Yj478JnJ27ZFKsAVu5B0PonFcYsZ3HIwXZt0NW3jBp22CdPhzdD3PYgaZ9r2lYvaDYDe0+DQavjT9Gu3gz2Dua/1faxOXM3J3JMmb9/WqABXbJ5RGpm5cyb1XeozNXKqaRs36GDt45CwEe55F7o/Zdr2lavdPhXaD4dfZsLh703e/ITwCbg4uvDx3o9N3ratUQGu2Lz1R9ez79w+pnSZQkPX6x7+VHkGPax7EuI3aHt49HjadG0r1ycEDJ4PTSNg7ZOQZtrdqH3q+vBo+0f5Ofln9p3bZ9K2bY0KcMWmZZdkM2fPHDo36syQVkNM17BBD9+Ng7jv4O5Z0OMZ07Wt3JxzXe10e1cPbY+ZwkyTNv9Q6EP41vXlw5gPa/T5mSrAFZv2YcyHFOoKmd5juunWfBv02u3dsWvhrhlwyyTTtKtUjocfjFwKhee0m6b0ZSZr2s3ZjYkREzmQcYBtp7aZrF1bowJcsVm7Unex8dhGHg17lJYNWpqmUaMB1k+A2DXwr7e0k9UV6/Hvom0Qlvw3fD/FpCtTBrccTKsGrfho70foDDqTtWtLVIArNqnMUMbMnTMJqB/AuI4mWhViNGh3Ax5aBX2mw23qICmb0GE43P4C7PsWok23/M/RwZGpkVM5nX+aVUdWmaxdW6ICXLFJi2IXcTLvJK93fx1XJ9fqN2g0wIZn4OAK6P2GthJCsR29XoeQAfDja3D0F5M1e2vTW+nu151PD3xKXlmeydq1FSrAFZtzKu8Unx/8nHuC7uE2/9uq36DRoN04cmC5FhR3vFj9NhXTcnDQjqhrFAqrH4XMJJM0K4RgauRU8krz+OLQFyZp05aoAFdsipSSWTtn4eLowstdX65+g0YjbHwW9i+Fnq/CnS9Vv03FPOrU1263d3TWDo0uPm+SZkO8QhjYciBL45dytuCsSdq0FSrAFZuy9cRWdqbu5NnOz+Lr5lu9xoxG2PQs7F8Cd74MPV8xTZGK+TQIhBFLtKPYVj+qrRgygUkRkxBC8Mm+T0zSnq1QAa7YjLyyPN7f/T5h3mE80KaaBwYbjbD5Oe3C2B0vaqNvxT407wED5sLx7fDT6yZpskm9JoxtN5bNxzcTnxVvkjZtgQpwxWZ8vOdjzpeeZ3qP6Tg6OFa9IaMRvn8e9n6jXazs9bp2959iPzo/CN2f0Val7PnaJE0+3uFxGtZpyJyYOTXm5h4V4IpNOJBxgNVHVjM6ZDSh3qFVb0hK2DJV+5/+tue1jZNUeNunu2Zox7J9PxVO/lnt5txd3BnfaTzRadH8ceYPExRofSrAFavTG/XM2DEDXzdfJkZMrHpDUsKWFyBmkXaDTp83VXjbM0cnGL4IvIK1OzXPn6x2kw+0eYDmHs2ZEzMHvdE08+vWdNMAF0IsEkKcE0LEXvKYlxBimxAiqfx3E+4wpNQ2SxOWcuT8EV7t9ir1nOtVrREpYetLsPsL7db4f72twrsmcPWEUStAGrU9U0rzq9Wcs6MzkztP5ljuMdYfXW+aGq2oIiPwr4ErT459BfhFStka+KX8z4pSaakFqSzYv4A7A+6kT2CfqjUiJfzwCuxaCD0mwl0zVXjXJN4t4f6vISNR273QaKhWc30C+xDRKIIF+xdQpCsyTY1WctMAl1L+Dlx5PtFgYHH514uBIaYtS6kt3tn1DgCvRb1Wtc2qpIQfXtUudnV/WttZsBaHd2GpnsJS+58auErLXnDve3BkK/w6s1pNCSGY0mUKmcWZLI5bfPM32LCqzoE3llL+czJpGtDYRPUotcgvyb/w2+nfmNBpAk3rN618A1LCj69D9KcQ9ZS2p3ctDe+DKTm8svYgkbN+ptu/f+aLP46jMxitXZZpdX0CIh+DP+fCgZXVaiq8UTh3Nb+Lr+K+IrPYtFvZWlK1L2JKbT3OddfkCCHGCSFihBAxGRkZ1e1OqSGKdEW8G/0urRu2Zmzo2Mo3ICX89AbsXADdxkHf/9S68C4s1bMsOpkBn/zBoPl/sWH/WQZ28iMq2JtZ3ycwYN6fRB/PsnaZpiME3Ps+BN2ubY2QElOt5iZ3nozOqGPB/gUmKtDyqhrg6UIIP4Dy389d74VSyoVSykgpZaSvbzXvrFNqjAX7F5BelM707tNxdnCu3JulhG3TYcd8bVR27/u1Krzjzuby+neHiHrnF1777hB6g2TG4DCiX+/D+8M78eXDkSx8sAsFpXpGLNzJlJX7ycgvtXbZpuHoDA98o+0lvmI05J6pclOBHoGMaDuCdUnrOJZzzIRFWk5VA3wj8HD51w8DG0xTjlIbHM4+zNKEpQxvM5zwRuGVe7OU8PNb8Pc8iHwc+s2uFeFdVKZn1e7TDF7wF/3n/cmaPSncE9aEtRNuYetzt/NQjyA8XLV/CIUQ3B3WhJ+n3MnEXq3YfDCV3h/+xuK/T6KvCdMqbl7aypSyIlgxSvu9isZ3HI+bkxtz98w1YYGWI252R5IQYjnQE/AB0oE3gfXAKiAQOAU8IKW88kLnVSIjI2VMTPV+7FHsm8Fo4MGtD3Km4Awbh2zEs45nxd8sJfwyQzvNvMuj0H+OtotdDZaYls+y6FOs23eG/BI9rRrVZ3S3QO7rHICnW8V+cjmeUcCbG+P4IymTUD8PZg1tT+fAGrDy98iP2qZXYUNg+FdV/od8Uewi5u6Zy5d3f0k3v26mrdFEhBB7pJSRVz1uyVtKVYArKw+vZFb0LN657R0GthxY8TdKCb/Ogj9mQ+eHYcBHNTa8S3QGvj+YyrJdyew5dR4XRwf6dWjC6KjmdA1qWKXVOlJKthxKY+bmeNLyShgR2YyX7w3Bq56LGT6BBf31sTad1uv1Ku80WWooZeB3A2lQpwErBqzAQdje36vrBbiTNYpRaqfM4kw+3vsxUX5RDAgeULk3//auFt4RD9bY8D56roBl0cms3ZtCbrGOYJ96vN6vHfd1Cah20Aoh6N/Rj55tfZn3SxJf/nmCH+LSeKlvW0Z1DcTBwU6noW55Fs4lwPZ/g29bCB1c6SbqONZhUsQkXvvzNbac2FL5v5tWpEbgisW89L+X+Dn5Z9YNWkeQZ1DF3/jbf7QADx8Lgz6pUeFdqjfwQ2waS6OT2XUiG2dHwT1hTRgdFUiPYG/THeR8hSPp+UxbH0v0iWw6BXgya0gHOgRUYjrLluhKYPEASI+Dx34Ev46VbsIojYzcPJKc0hw2Dd1EHcc6Zii06tQUimJVf5/5m/E/j+fpTk8zIXxCxd/423vw2zsQPgYGza8x4X0is5Dlu5JZsyeF7MIyAr3cGNUtkPsjA/Cpb5nwkFKyYf9ZZn2fQFZhKWOiAnnx7pAKz63blPx0+LwXIGDcdqjfqNJNRKdG88RPTzClyxQebf+o6WusBhXgitWU6EsYtnEYDsKBtYPWVnx0878PYPss6DRKO7m8OlvM2oAyvZGf4tNYFp3M38eycHQQ3B3amNFRgdza0sdq0xh5JTrmbjvC4r9P0sDNhVfuDWF45wD7m1ZJPQCL+kLj9vDIZnCq/D+ET//8NPvP7WfLsC00cG1g+hqrSAW4YjWf7PuEhQcX8sXdXxDlF1WxN/0+W7tluuMIGPKpXYd3clYRy3Yls2bPaTILyvBvUJdR3ZrxQGQzGnmY4MBmE4k/m8e0DbHsOXWeyOYNmTG4PaFNPaxdVuXErYfVD0On0TDk/yq9MuXo+aPct+k+RoeM5uVuJjjSz0TURUzFKo7nHGdR7CIGBA+oeHj/MUcL7w7322146wxGfklIZ2l0Mn8kZeIgoE87bbR9R2tfHG1wdBva1IPV43uwdm8K/9l6mIHz/+ShHs15/q42F9aY27ywIZDxqnbNpHGotjNlJbRq2IqhrYayInEFo0NG08yjmXnqNBE1AlfMRkrJYz8+xpHzR9g4ZCPedb1v/qY/P4Kf34T2w7VTyh3ta4yRcr6IFbtOsyrmNOfyS/HzdGVE12aM6NoMP8+61i6vwnKLdHzw02GWRifjU78Or/drx+Dwpma7qGpSRiOseRTiN8DoVdDm7kq9PaMog/7f9eeOgDuYfedsMxVZOWoKRbG49UfXM+2vabzZ402Gtxl+8zf8NQ+2TYOwYTDsc7sJb73ByPbEDJZFn+K3I9p+Pz3b+DImqjk92/ri5Gi/F14PpuQwbX0sB1Jy6R7sxczB7Wnd2N3aZd1cWREsugeyT8ATP0OjkEq9/f/2/x+fHviUJf2W0Mm3k5mKrDgV4IpF5ZTkMHD9QII8glh87+Kb3xzx93ztANvQIXDfl3YR3qm5xazcfZqVu0+TmltCI/c6F0bbAQ3drF2eyRiMkpW7T/PeD4cpLNXz+G0teLZPa+rVsfHvUW4KLOwFLvXgyV+1W/ArqEhXRP/v+tPMvRmL+y62+k8eKsAVi5r+13Q2HdvEyoEradOwzY1fvOP/4MdXtZsw7vtS27DIRhmMkt+PZLA0OplfD6cjgdtb+zK6WyB92jXC2Y5H2zeTXVjGe1sPszLmNH6erkwbEMq97ZtYPdxu6PRu+Lo/NOsGD35Xqb9bq4+sZsaOGXzU8yP6NK/iYSMmogJcsZg96Xt45IdHeLT9o0zpMuXGL975GfzwMrQbqO1nYaPhfS6vhFUxp1m+6zRncorxqe/C/ZHNGNU1kEDvmjParog9p84zbX0s8al53N7ah7cHhRHsW9/aZV3fgRXw3Xht87MBcyr8Nr1Rz30b78MgDXw3+LvK75ppQirAFYvQGXQM3zScEn0J3w3+DjfnG4Rb9ELY+iKEDNCOzLKx8DYaJX8ezWRZdDI/J6SjN0pubeXN6G7NuSu0MS5ONXe0fTN6g5Gl0cnM/imRUp2RcXcE80yvVtR1sdEVQ9uma/um9JsN3Z6s8Nv+d/p/TPx1Iq9FvcaokFFmLPDG1DJCxSIWxy/meO5x5veef+Pw3vW5Ft5t+9vcyDuzoJTVMSks35VMcnYRXvVceOy2FozqFkgLnyoeulzDODk68PAtQfTr4Me7WxKYv/0o3+07w1uDwrgr1AYP6Orzpnam5taXwacNBN9ZobfdEXAHXZt05bMDnzEweCD1XWzrJw01AldM5nT+aYZuGMrt/rczt9cN9lfe/QV8PxXa9oP7F4OT9XfEk1Ky41gWS3cl81NcGjqDJKqFF6OjAunbvgl1nGx0ZGkjoo9nMW1DLEfSC+gT0og3B4bZ3tRSSR58eTfkp2oXNb1bVuhtcVlxjNw8kic7PMmznZ81c5HXpqZQFLOSUjLhlwnsS9/HhiEbaFKvybVfGLMINj8Pbe7VTlaxcnhnF5axdk8Ky3YlcyKzEM+6ztzXOYDRUc1o1cgOlsvZEJ3ByOK/TzJ32xH0RsnTPVsx/s5gXJ1t6B+/7BPweW+o5wtPbAPXim3g9cofr/DzqZ/ZPHTz9f9um5EKcMWsfjj5Ay/+70Ve7vry9c+43PM1bHoOWt8DI76t0l4VpiClZNeJbJbtSmbroTTKDEYimzdkdFQg/Tr42Vbg2KG03BJmfR/P5oOpNPd2461BYfRqW/nNpczmxB/w7RAI7gWjV1boTt+zBWcZ+N1A+rboy79v+7f5a7yCCnDFbPLL8hm8fjA+dX1Y1n8ZTg7XuLSy9xvtINrWd8OIJVYJ79wiHWv3aqPto+cKcHd1YliEP6OjmtO2iRptm9qfSZlM3xjL8YxC7glrzPSBYfg3sJG7UWO+gs2TocdEuKdigTwnZg5fx33N6oGraevV1rz1XUEFuGI270S/w4rDK1jWfxntfdpf/YK932rh3aoPjFgKzpbbwElKyd7k8yyNTub7g6mU6o2EN2vA6KhABnZsarurJmqIMr2RL/48zie/HAVgUp9WPHFbsG2s4NnyIuxaCIP/DyLG3PTleWV59FvXj1CvUBbevdACBV6kVqEoZhGbGcuKwysYGTLy2uG9b6kW3i17WTS880p0fLf3DMuik0lMz6d+HSeGdwlgdFQgYU3t9OACO+Ti5MDTPVsxONyfGZvieP+HRNbsSWHm4Pbc2srHusXd8y5kHtFG4t4tIbD7DV/u4eLB+I7jeX/3+/x15i9u9b/VMnXegBqBK1WmN+oZ/f1oMosz2TBkA+4uV0xD7F8O6ydAcE8YtRyczfvjs5SSAym5LIs+xcYDZynRGeng78noqEAGdWpq+7d+1wLbE8/x1sY4TmUVMaCjH2/0D6WJpxW31C0+D5/3gdI8bWVKg8Abvlxn0DFo/SDqOtdl9YDVOFpop8zrjcBt4OcYxV6tOLyChOwEXur20tXhfWBleXjfafbwLijVs2TnKfrP+5MhC/5i88FUhoT7s3HirWyadBujugWq8LYRvdo24sfJd/D8v9rwU3w6fT78jS/+OI7OYLROQXUbwqgVoC+D5aOhtOCGL3d2dOa5Ls+RdD6Jjcc2WqjI61MjcKXCzhWdIy4zjvjseOIy49iVtovIJpF82ufTy/fDOLhKu3U56DYYtRJczLMeOPZMLkujk9m4/wyFZQba+XkwOiqQIeFNcbeX/atrseSsIt7aFMevh8/RtrE7MwaHERVcgS2HzSHpZ1h2P4T0h/u/ueHRfVJKxm4ZS1phGpuHbaauk/kvzKqLmEqlZBZnamGdFU9cVhxxWXFkFmcC4CAcCPYMpoNPByZGTKSR2yVLxA6tgXVPQvNbtb2YTRzeRWV6Nu4/y7JdyRxMycXV2YEBHZsyOiqQiGYNbHtjJeUqUkq2xafz9qZ4zuQUMyzCn1f7tcPX3QpLTP/ZVO2Ol6D36zd86d70vTz8w8NMipjEuI7jzF6aCnDlujKLM4nPir8Q1vGZ8ZwrPgeAQBDsGUyodyhhPmGEeYfRpmGba98mH7sW1j4BgbfAmFXaNp4mkpCax7LoZNbvO0N+qZ42jeszulsgQzsH4FlXjbbtXXGZgfnbk1j4+3FcnR154e62jIkKtOxe6lJqF9z3fQvDF0H7+2748snbJ7Pj7A6+H/Y9PnXNe0FWBbgCQHZJ9sWwztRG1ulF6YAW1kGeQVpYe2thHeIVcuM9Tf4Ru648vLvDmNUmCe/iMgObD2qj7X3JObg4OdC/gx+jowKJbN5QjbZroOMZBby5MY4/kjIJ9fNg1tD2dA5saLkC9GXwzSA4uw8e3Qr+na/70pO5Jxm6YSj3tbmPN7q/YdayzBLgQoiTQD5gAPTX6uBSKsAtK6ckRwvr7IthnVqYeuH5II8g2nm3uxDW7bzbUc+5CsEbtx7WPKbtuTxmDdSp3oY/Sen5LI1OZt3eFPJK9AT71mN0t0Du6xxAw3rW3zdFMS8pJVsOpTFzczxpeSWMiGzGy/eG4GWp731Bhna7vVEHT24HD7/rvvTfO//N6iOrWTd4HcGewWYryZwBHimlzKzI61WAm09uae7l0yBZ8ZwpOHPh+UD3wIsjax9tZH3VypGqiN8Aqx+FgK4wdg3UqVqbJToDW2NTWRadzO6T53F2FNzbXhttR7XwUqPtWqigVM+8X5JY9OcJ6rs68dI9IYzs2gwHSxwInRarbXzVKAQe+f66q6iyS7Lpt64f3Zp0Y17veWYrRwV4DZJXlkdCVsKFoI7LjCOlIOXC8wH1Ay6bs27n3Q4PFw/TFxK/UTs81r8LjF1bpfA+llHA8uhk1uxNIadIR5C3G6O6BTK8SwDe9a2zV4piW46k5zNtfSzRJ7LpFODJrCEd6BBggZuxEjbDyjHQ4QEYthCuM4j4/ODnzNs3j6/7fk2Xxl3MUoq5AvwEcB6QwH+llDe8v1QFeOUVlBWQkJ1w2YqQ5PzkC8/71/cn1Dv0wug61DsUzzpm+MtdkAGp+7W5wbPlv+efLR95rwPXiv8DUao38GNcOsuiT7HzeDZODoJ7wpowOiqQHsHelhlhKXZFSsmG/WeZ9X0CWYWljIkK5MW7Q/B0M/MF7N9nw68ztf3Eb7/26VLF+mIGfDeAxm6NWdpvqVl+WjRXgPtLKc8IIRoB24BJUsrfr3jNOGAcQGBgYJdTp05Vub+arlBXeNnIOj4rnpN5Jy8871fP70JI/zOybuhqhgs8hVmQuu+SsN4Pef+M8AV4t4KmEdoFnoixFR55n8oqZNmuZNbEpJBVWEZAw7qM6hbI/ZEBNHK34t14it3IK9Exd9sRFv99kgZuLrxybwjDOweY7x99KbWL87FrYeQyCOl3zZetP7qeaX9N44M7PqBvi74mL8Psq1CEEG8BBVLK2dd7jRqBX1SkK+Jw9uGL0yBZcZzMPYlE+340dmt8Max9tN+9XCt+qnbFC8m+ZGS9D84egNyLI3y8Wmph3TRc+71Jx0qNtnUGI9vi01kWncyfRzNxdBD8q10jRkc15/ZWPmq0rVRJ/Nk8pm2IZc+p80Q2b8iMwe0JbWqGaUIAXTF81U/bN+Xxn6Bx2FUvMRgNjNg8ggJdARuHbMTF0bQXXE0e4EKIeoCDlDK//OttwAwp5Q/Xe09tDfBifTGJ2YmXzVmfyDuBUWq3Dzeq24hQn8unQcyyrrT4PKQeuCSs90POJT8RNWxxeVj7darwhvdXOp1dxIrdyayKSSEjv5Smnq6M7BbIiK7NaOyhRttK9RmNkjV7U/jP1sPkFut4qEdznr+rDR7muAs3LxU+76Ud/ffkdqh39f+ff5/9m/HbxvNC5As8HPawSbs3R4AHA9+V/9EJWCalvOHGurUhwEv0JSSeT7xszvp47vELYe3t6n3h4uI/Ye3r5muGQnKvDuvzJy4+36D51WFdt3rTMXqDkV8On2NZdDK/J2UggN4hjRgdFcidbRrhqEbbihnkFJUx+6dElkYn41O/Dq/3a8fg8Kamn4s+s0cbiTftDA9tuOZpUk9te4pDmYfYMmyLSa9FqRt5zKDUUMqR7COXTYMcyzmGQRoA8HL1uuymmFDvUBq5NTL9X6ySPEg7eHlYZx+7+Lxn4MWgbhoOfuHgZrrpmDM5xazclczKmNOk55XS2KMOI7oGMrJrM5raygb+So13MCWHaetjOZCSS/dgL2YObk/rxiY+qOPQGlj7OHR+CAbOu2plSmJ2Ivdvup+HQh/iha4vmKxbFeDVVGYoI+l80mVhffT8UfRSD0DDOg0vrgYpH2E3dmts+rAuLbg6rLOSLj7vEXBFWEdAPdNvEJRdWMbuk9ms2n2a7YnnkMAdrX0ZExVI75BGlr0FWlHKGYySFbuTef+HRApL9Tx+Wwue7dPatLtR/jIT/pgNfd+D7k9d9fS0v6bx/fHv2ThkIwHuASbpUgV4JegMOpJyki6bs07KSUJv1MLas44noV4XgzrUOxS/en6mD+uyQkg7dHlYZx6B8guduDctD+pLRtb1TT8dk1NUxqEzudqvFO33lPPFAPjUr8OIrgGM7BpIMy8bO4VcqbWyCkp5/4dEVsacxs/TlWkDQrm3fRPT/D9qNMKqByFxi3bncas+lz2dXpjOgO8G0CuwF+/f8X71+0MF+HXpjDqO5Ry7bM76yPkj6Iw6ANxd3K+aBvGv72+GsC7SwvrStdaZiVA+d079JleHtXtj09YA5BbriL0irJOziy4839zbjfb+nnT096RDgCddg7xwVqNtxUbtOXWeaetjiU/N4/bWPrw9KIxg3+pt9QBoPwkvugdyTsOTv4BP68uenrd3Hp8f+pwV/VcQ5nP1qpXKUgGOdoLMsZxjl91unpidSJmxDAB3Z/cLe4OE+oQS5hVGgHuA6cNaV6zdqntpWGckXAzreo2uuMAYfsP9GKoqr0QL69gzuRxM0X4/mXUxrJt51aWDvycd/BvQMcCT9k09zX/jhKKYmN5gZGl0MrN/SqRUZ2TcHcE806tV9c9DzUmGhb2gbgN44ufLFgEUlBXQ/7v+BHsGs+ieRdXOkFoX4HqjnhO5Jy6bs07MTqTUUApAPed6tPNqd2FvkFDvUJq5N8NBmHg0qSuB9LhLbow5AOfiofxCJ24+l4d10whw97vubbtVlV+iI+5s3oWwPnQmlxOZhRee929QHtYBnhfCWm0cpdQkGfmlvLslgXX7zuDfoC5vDQrjrtBq/hR7agcsHqgdXjJmDThenGtfeXgls6Jn8UnvT+jZrGe1uqnRAW4wGjiZd/KyOevD2YcpMZQA4ObkRohXyGVz1s09mps+rPWlWjhfOmd9Lh7K586p63V1WHv4mzysC0v1xJ3NK58GyeFgeVj/861u6umqTYMEeNIhoAHtm3qofUeUWiP6eBbTNsRyJL2APiGNeHNgGIHe1bh+s/db2DgRop6Ce9+78LDOqGPYhmEIIVg3aB1ODlW/kFpjAtwojVpYZ1683TwhO4FivXZRra5TXS2sL7nlvLlHc9MfPqov06Y9Lg3r9DhtC0oA1wZXh7VnM5OHdVGZnvgLYZ3LwTO5HMsouBDWTTwuDWtPOvh74qPCWqnldAYjX/91ko9+PoLeKHm6ZyvG3xmMq3MVc+KH12DnAhj4MXR55MLDvyb/ynPbn2Na92k80PaBKtdr1wG+M3Unf6T8QVxWHAlZCRTptXlaV0dX2nq1vTgN4hVKC88Wpg9rgw7OJVw+Z50eCwZt7pw6nuVBHX4xrBs0N3lYF5cZiE+9dBokh6PnCjCWfwt93etcuLjYMcCT9v6eao8RRbmBtNwSZn0fz+aDqTT3duPtQWH0bNvo5m+8kkEPy0fA8d+0m3yCbgO0Tbge+eERTuadZMuwLVXbbx87D/D3d7/PqsRVtG3Y9rK9QYI9g6v1Y8k1GfSQcfjysE47BOVz59Tx0O5avDSsG7YweViX6AwkpF4+Z510rgBDeVr71Hcpn7NuQIfyEba6RV1RqubPpEymb4zleEYhfcOaMG1gKP6VvQmtJBe++BcUZsK47dAwCIBDGYd4cOuDfNjzQ/oE9rlxG9dh1wGeX5aPq5Mrzg4mXgFhNEBG4tVhXT4dg0t9bQXIlWF9gxOrq6JUb+Bwav5l0yBJ6fnoy8Paq57LhZD+ZzqkiYerOuRAUUyoVG/giz9O8MmvSQgEk/q04onbgnFxqsT/71nHtNN8PJpqG1+V79SZVphGk3pNqlybXQe4SRgNkJl0RVgfBF35sjnnelePrL1amjysy/RGEtPKw/pMDgdTcjmSno/OoH0fGro5X5yzLh9hN/VUYa0olnImp5gZm+L4MS6dYN96zBzcnltbVWJzuWPbYcl90PpuGLkUTDClW7sC3GiErKOXh3XqAdCVL5tzdtO2Rb00rL1bmeQ/9KV0Bi2sY89oo+pDKbkkpuVTZtDWe3vWdb6wdE9bb+1JQMO6KqwVxQZsTzzHWxvjOJVVxICOfrzRP5QmnhWcptz1OWx5AW57Hv71VrVrqbkBbjRC9vGrw7osX3veyfXqsPZpY5awTkovKA/rHA6l5JKQlk+ZXgtrd1eny8K6o38DmnmpsFYUW1aiM/Df/x1nwW9HcXYQPH9XGx6+Jejmdx9LCZufhz1fwbDPoWPVV6BATQlwKa8d1qV52vOOdaBJhyvCuu1li+tNQW8wcjSj4MKt5gdTcklIzaP0n7Cu40SYvwcdAxpcuO080MtNHV6gKHYqOauItzbF8evhc7Rt7M6MwWFEBd9kkziDDr4dCqd3waNbIOCq/K0w+w7wfUvg4CotuEtytcccXaBx+8vD2jdE23DdhAxGybGMggu3mh9MySE+NY8SnRbW9VwcCbtkb5AO/p4EeddTYa0oNYyUkm3x6by9KZ4zOcUMi/Dn1X7t8HW/wX0VRdnaQRC6Yu0gCE//KvV9vQA38Ro8M8k9owV32NBLwrrdNTdUrw6DUXIis+DCsr1DKbnEnc2jWKfd9u7m4khYUw9Gd2tOhwAPOvg3INhHhbWi1AZCCO4Oa8LtrX2Zvz2Jhb8fZ1tCOi/c3Zax3Ztf+8ASNy8YtUK7qHn+ZJUD/Lo12cUI3AyMRsmJrMIL0yBaWOdSWKaFtauzA2FNL15c7BjgSbBvfXWqjKIoABzPKODNjXH8kZRJWFMPZg5pT+fA65xqpS8Fp6rfAW3fUyjVZDRKTmUXcTAl58KNMXFn8ygo1fYoqePkQGhTDzr6/7POugEtfeupQwkURbkhKSVbDqUxc3M8aXkljIhsxsv3huBl4o3gak2ASylJzi66ZM46l9izueSXaGHt4uRAOz8trP9ZFdK6UX0V1oqiVFlBqZ55vySx6M8T1Hd14qV7QhjZtZnJpldrZIBLKUk5X3xxzrp8+V7eP2Ht6ECIn/uFaZAOAZ60aeyuDiBQFMUsjqTnM219LNEnsukU4MmsIR3oEFD9w43tPsCllJzJKb44Z13+K6dI2/3P2VHQtok7Hfwv7g3SprF75W6DVRRFqSYpJRv2n2XW9wlkFZYyJiqQF+8OqdZhKHa9CmXeL0l8/fdJsgu13f+cHARtGrvTN6zJhdvO2zZxp46TiXchVBRFqSQhBEMi/OndrhFzfjrCNztOsvVQGvNHd6ZHS9MeMG4XAd7Ew5V/tWt0YW+QkCbuVd+3V1EUxQI8XJ15a1AYD0Q2492tCbTwqdpWsjdiN1MoiqIotdX1plDUBLGiKIqdUgGuKIpip6oV4EKIvkKIRCHEUSHEK6YqSlEURbm5Kge4EMIRWADcC4QCo4QQoaYqTFEURbmx6ozAuwFHpZTHpZRlwApgsGnKUhRFUW6mOgHuD5y+5M8p5Y9dRggxTggRI4SIycjIqEZ3iqIoyqXMfhFTSrlQShkppYz09fU1d3eKoii1RnUC/AzQ7JI/B5Q/piiKolhAlW/kEUI4AUeAPmjBvRsYLaWMu8F7MoBTVeoQfIDMKr7X1qjPYntqyucA9VlsVXU+S3Mp5VVTGFW+lV5KqRdCTAR+BByBRTcK7/L3VHkORQgRc607keyR+iy2p6Z8DlCfxVaZ47NUay8UKeUWYIuJalEURVEqQd2JqSiKYqfsKcAXWrsAE1KfxfbUlM8B6rPYKpN/FovuRqgoiqKYjj2NwBVFUZRLqABXFEWxUzYX4Dfb4VAIUUcIsbL8+WghRJAVyqyQCnyWR4QQGUKI/eW/nrBGnTcjhFgkhDgnhIi9zvNCCDGv/HMeFEJ0tnSNFVGBz9FTCJF7yfdjuqVrrCghRDMhxHYhRLwQIk4I8dw1XmMv35eKfBab/94IIVyFELuEEAfKP8fb13iNafNLSmkzv9DWkx8DggEX4AAQesVrngY+K/96JLDS2nVX47M8Asy3dq0V+Cx3AJ2B2Os83w/YCgigOxBt7Zqr+Dl6AputXWcFP4sf0Ln8a3e0m+qu/PtlL9+XinwWm//elP93rl/+tTMQDXS/4jUmzS9bG4FXZIfDwcDi8q/XAH2EEMKCNVZUjdmtUUr5O5B9g5cMBr6Rmp1AAyGEn2Wqq7gKfA67IaVMlVLuLf86H0jg6s3k7OX7UpHPYvPK/zsXlP/RufzXlatETJpfthbgFdnh8MJrpJR6IBcw7VHPplGh3RqB+8p/vF0jhGh2jeftQUU/qz3oUf4j8FYhRJi1i6mI8h/DI9BGfJeyu+/LDT4L2MH3RgjhKITYD5wDtkkpr/s9MUV+2VqA1zabgCApZUdgGxf/ZVasYy/anhOdgE+A9dYt5+aEEPWBtcBkKWWeteupjpt8Frv43kgpDVLKcLTN/boJIdqbsz9bC/CK7HB44TXlG2p5AlkWqa5ybvpZpJRZUsrS8j9+AXSxUG2mViN2ppRS5v3zI7DUtolwFkL4WLms6xJCOKMF3lIp5bprvMRuvi83+yz29r2RUuYA24G+Vzxl0vyytQDfDbQWQrQQQrigTfJvvOI1G4GHy78eDvwqy68I2JibfpYr5iMHoc392aONwEPlqx66A7lSylRrF1VZQogm/8xHCiG6of3/YYuDA8rr/BJIkFLOuc7L7OL7UpHPYg/fGyGErxCiQfnXdYG7gMNXvMyk+VWtzaxMTV5nh0MhxAwgRkq5Ee0b/a0Q4ijaBamR1qv4+ir4WZ4VQgwC9Gif5RGrFXwDQojlaKsAfIQQKcCbaBdokFJ+hrahWT/gKFAEPGqdSm+sAp9jODBBCKEHioGRNjo4ALgVeBA4VD7nCvAaEAj29X2hYp/FHr43fsBioZ0X7ACsklJuNmd+qVvpFUVR7JStTaEoiqIoFaQCXFEUxU6pAFcURbFTKsAVRVHslApwRVEUO6UCXFEUxU6pAFcURbFT/w/+YNnldxGZNQAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"pd.DataFrame(df.a.tolist(), columns=list(\"xyz\")).plot();"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>x</th>\n",
" <th>y</th>\n",
" <th>z</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>4</td>\n",
" <td>5</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>10</td>\n",
" <td>20</td>\n",
" <td>30</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" x y z\n",
"0 1 2 3\n",
"1 4 5 6\n",
"2 10 20 30\n",
"3 1 2 3"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df2 = pd.DataFrame(df.a.tolist(), columns=list(\"xyz\"))\n",
"df2"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAXAAAAD4CAYAAAD1jb0+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAABHuUlEQVR4nO3dd1zWVf/H8ddhiSigDBVBRFwIDlAUbTruytya5WyXZmmZtksr9a67Mi3TX91WluVeudLKyu6WorgZIk5EARmy1zXO748vuQfjmnCej4cP8RrnfK6wt4fzPd9zhJQSRVEUxf44WLsARVEUpWpUgCuKotgpFeCKoih2SgW4oiiKnVIBriiKYqecLNmZj4+PDAoKsmSXiqIodm/Pnj2ZUkrfKx+3aIAHBQURExNjyS4VRVHsnhDi1LUeV1MoiqIodkoFuKIoip1SAa4oimKnLDoHriiKYi06nY6UlBRKSkqsXcp1ubq6EhAQgLOzc4VerwJcUZRaISUlBXd3d4KCghBCWLucq0gpycrKIiUlhRYtWlToPTedQhFCuAohdgkhDggh4oQQb5c/3kIIES2EOCqEWCmEcKlm/YqiKGZTUlKCt7e3TYY3gBACb2/vSv2EUJE58FKgt5SyExAO9BVCdAfeA+ZKKVsB54HHK1+yoiiK5dhqeP+jsvXdNMClpqD8j87lvyTQG1hT/vhiYEilelYUxeQSsxPZnbbb2mUoFlKhVShCCEchxH7gHLANOAbkSCn15S9JAfyv895xQogYIURMRkaGCUpWFOVa8sryGL9tPBN+nkBaYZq1y1EsoEIBLqU0SCnDgQCgGxBS0Q6klAullJFSykhf36vuBFUUxUTm7Z3H+dLzGKWRT/Z9Yu1yFAuo1DpwKWUOsB3oATQQQvyziiUAOGPa0hRFqaiDGQdZlbiK0SGjGdtuLJuObSIxO9HaZSmX2L17Nx07dqSkpITCwkLCwsKIjY2tVps3XUYohPAFdFLKHCFEXeAutAuY24HhwArgYWBDtSpRFKVK9EY9M3bMwNfNl4kREzFIA+uOrmN2zGwW3rXQ5i/cWcPbm+KIP5tn0jZDm3rw5sCw6z7ftWtXBg0axBtvvEFxcTFjx46lffv21eqzIiNwP2C7EOIgsBvYJqXcDLwMTBFCHAW8gS+rVYmiKFWyNGEpiecTebXbq9RzroeHiwfjO45nZ+pO/jr7l7XLUy4xffp0tm3bRkxMDC+99FK127vpCFxKeRCIuMbjx9HmwxVFsZLUglQW7F/AnQF30iewz4XHR7YdyfLDy/kw5kN6+PXA0cHRilXanhuNlM0pKyuLgoICdDodJSUl1KtXr1rtqb1QFMWOvbvrXQBei3rtsqkSZ0dnnuv8HEdzjrLx2EZrladcYfz48cycOZMxY8bw8ssvV7s9FeCKYqd+Tf6V7ae3M6HTBJrWb3rV83c3v5uOvh2Zv28+RboiK1SoXOqbb77B2dmZ0aNH88orr7B7925+/fXXarWpAlxR7FCRroh3d71L64atGRs69pqvEULwQuQLnCs+x7fx31q4QuVKDz30EGvXrgXA0dGR6OhoevfuXa02VYArih36v/3/R1phGtO7T8fZ4fo710U0iqBPYB8WxS4iszjTghUqlqACXFHsTGJ2IksSljC8zXDCG4Xf9PWTO0+mzFDGZwc+M39xikWpAFcUO2IwGpixYwaedTyZ3Hlyhd4T5BnE8DbDWXNkDcdzj5u3QMWiVIArih1Zc2QNBzMP8mLXF/Gs41nh900In4Crkytz98w1Y3WKpakAVxQ7kVmcycd7PybKL4r+LfpX6r1erl480eEJfjv9GzFpMeYpULE4FeCKYife3/0+JYYS3oh6o0q3x49tN5bGbo35MOZDjNJohgoVS1MBrih24O8zf7P1xFae7PAkQZ5BVWrD1cmVSRGTiM2K5ceTP5q2QMUqVIArio0r0ZcwK3oWQR5BPN6hegdfDQgeQNuGbfl478eUGcpMVKFiLSrAFcXGfXHoC07nn+aN7m/g4li9o2cdHRyZEjmFMwVnWH54uYkqVCpi+vTpfPTRRxf+/Prrr/Pxxx9Xq011Kr2i2LDjucf5MvZLBgQPIMovyiRt3tL0Fm5teisLDy5kSKshlVrNUmNsfQXSDpm2zSYd4N7/XPfpxx57jGHDhjF58mSMRiMrVqxg165d1epSjcAVxUZJKZm5YyZuTm68EPmCSdt+vsvz5Jfl8/nBz03arnJ9QUFBeHt7s2/fPn766SciIiLw9vauVptqBK4oNmrjsY3EpMfwZo838a5bvf/Rr9TWqy2DWw1m2eFljAwZSYB7gEnbt3k3GCmb0xNPPMHXX39NWloajz32WLXbUyNwRbFBOSU5fBjzIeG+4QxrPcwsfUwMn4ijcGTe3nlmaV+52tChQ/nhhx/YvXs399xzT7XbUwGuKDZo7t655JflM63HNByEef43bVyvMQ+FPcTWk1uJzaze2YxKxbi4uNCrVy8eeOABHB2rf8iGCnBFsTF70vewLmkdD4Y9SJuGbcza12PtH8PL1YvZMbORUpq1LwWMRiM7d+7k8certxz0HyrAFcWG6Aw6Zu6YSdN6TXmq41Nm76+ecz2e7vQ0e9L38Nvp38zeX20WHx9Pq1at6NOnD61btzZJm+oipqLYkMXxizmWe4z5vefj5uxmkT6HtRnGkoQlzN07l9sDbsfJQcWCOYSGhnL8uGl3g1QjcEWxEafzT/PZgc/4V+C/uLPZnRbr19nBmee7PM+J3BOsS1pnsX6V6lMBrig2QErJO9Hv4Cgceblb9Q+7raxezXrRuVFnFuxfQKGu0OL9K1WjAlxRbMBPp37izzN/MiliEk3qNbF4//+cn5ldks2i2EUW71+pGhXgimJl+WX5vLfrPdp5tWNkyEir1dHBtwP3Bt3LN3HfkF6YbrU6lIpTAa4oVjZ/33wyizOZ3mO61S8gPtv5WQzSwIL9C6xah1IxNw1wIUQzIcR2IUS8ECJOCPFc+eNvCSHOCCH2l//qZ/5yFaVmicuMY/nh5YwMGUl7n/bWLocA9wBGhYxi/dH1HDl/xNrlKDdRkRG4HpgqpQwFugPPCCFCy5+bK6UML/+1xWxVKkoNpDfqeXvH2/jU9WFSxCRrl3PBuI7jqO9Snzl75li7lBrls88+Izw8nPDwcFq0aEGvXr2q3eZNf16TUqYCqeVf5wshEgD/avesKLXcisMrSMhO4IM7P8Ddxd3a5VzgWceT8R3HMztmNjvO7qBH0x7WLsnk3tv1HoezD5u0zRCvkBuuIHrqqad46qmn0Ol09O7dmylTplS7z0rNgQshgoAIILr8oYlCiINCiEVCiIbXec84IUSMECImIyOjetUqSg2RXpjOJ/s+4Vb/W7mnefU3NTK1USGj8K/vz5w9c9T5mSb23HPP0bt3bwYOHFjttip8xUQIUR9YC0yWUuYJIT4FZgKy/PcPgav2R5RSLgQWAkRGRqrNFhQFeG/3exikgdejXq/SAcXm5uLowrMRz/LyHy+z+fhmBrUcZO2STMoaa+0Bvv76a06dOsX8+fNN0l6FRuBCCGe08F4qpVwHIKVMl1IapJRG4HOgm0kqUpQa7veU39l2ahtPdXqKZu7NrF3OdfVt0Zcw7zDm7Z1Hib7E2uXYvT179jB79myWLFmCg4NpFgBWZBWKAL4EEqSUcy553O+Slw0F1H6UinITRboi/r3z37T0bMnDoQ9bu5wbchAOTI2cSnpROksSlli7HLs3f/58srOz6dWrF+Hh4TzxxBPVbrMiUyi3Ag8Ch4QQ+8sfew0YJYQIR5tCOQmMr3Y1ilLDfXbwM84WnuXrvl/j7Ohs7XJuqmuTrvRs1pMvDn3BsNbD8HL1snZJduurr74yeZs3HYFLKf+UUgopZcdLlwxKKR+UUnYof3xQ+WoVRVGu48j5I3wb9y1DWw2lS+Mu1i6nwp7v8jwl+hI+O/CZtUtRrqDuxFQUCzBKIzN3zMTdxZ0pXaq/fMySgj2Dua/1faxOXM3J3JPWLke5hApwRbGAdUnr2J+xn6mRU2ng2sDa5VTahPAJuDi68PHej61dSrXY+qlDla1PBbiimFlWcRZz98wlsnGk3S7H86nrw6PtH+Xn5J/Zd26ftcupEldXV7Kysmw2xKWUZGVl4erqWuH3qKM3FMXMPoz5kCJ9EdN6TLPJNd8V9VDoQ6xKXMXsmNksuXeJ3X2WgIAAUlJSsOUbCl1dXQkICKjw61WAK4oZRadGs+n4JsZ1HEewZ7C1y6kWN2c3JkZM5M2/3+SnUz9xT5Dt3UF6I87OzrRo0cLaZZiUmkJRFDMpM5Qxa+csmrk348kOT1q7HJMY3HIwrRq04uO9H6Mz6KxdTq2nAlxRzOTLQ19yMu8kb0S9gatTxec1bZmjgyNTI6dyOv80KxNXWrucWk8FuKKYwam8U3x+6HPuDbqXW/xvsXY5JnVr01vp7tedzw5+Rl5ZnrXLqdVUgCuKiUkpmblzJq6OrrzU7SVrl2NyQgimRk4lrzSPLw59Ye1yajUV4IpiYt+f+J7o1Gie6/wcPnV9rF2OWYR4hTCw5UCWxi/lbMFZa5dTa6kAVxQTyi3N5YPdH9DBpwPD2wy3djlmNSliEkIIPtn3ibVLqbVUgCuKCX2892NyS3OZ3mM6jg6O1i7HrJrUa8LYdmPZfHwz8Vnx1i6nVlIBrigmsv/cflYfWc2YdmMI8QqxdjkW8XiHx2lYpyEfxnxos3c41mQqwBXFBHRGHTN2zqCxW2OeCX/G2uVYjLuLO091eopdabv448wf1i6n1lEBrigmsCR+CUnnk3g16lXcnN2sXY5F3d/2fpp7NGdOzBz0Rr21y6lVVIArSjWdLTjLpwc+pWeznvQJ7GPtcizO2cGZyZ0ncyz3GOuPrrd2ObWKCnBFqQYpJe9EvwPAa91es3I11tMnsA8RjSJYsH8BRboia5dTa6gAV5Rq+DX5V/6X8j+eCX8Gv/p+N39DDSWEYEqXKWQWZ7I4brG1y6k1VIArShUV6gp5Z9c7tGnYhtHtRlu7HKsLbxTOXc3v4qu4r8gszrR2ObWCCnBFqaL5++aTUZTB9B7TcXaw/QOKLWFy58nojDoW7F9g7VJqBRXgilIFCVkJLDu8jPvb3E8n307WLsdmBHoEMqLtCNYlreNYzjFrl1PjqQBXlEoyGA3M2DGDBnUa8FyX56xdjs0Z33E89ZzqMWfPHGuXUuOpAFeUSlp1ZBWxWbG81PUlPFw8rF2OzWno2pAnOj7B7ym/syt1l7XLqdFUgCtKJZwrOse8vfPo7tedfi36WbscmzWm3Rj86vkxO2Y2Rmm0djk1lgpwRamED3Z/QJmhjGnd7fuAYnOr41iHSRGTSMhOYMuJLdYup8a6aYALIZoJIbYLIeKFEHFCiOfKH/cSQmwTQiSV/97Q/OUqivX8deYvfjj5A092fJJAj0Brl2Pz+gf3p51XO+btnUepodTa5dRIFRmB64GpUspQoDvwjBAiFHgF+EVK2Rr4pfzPilIjlehLmLVzFkEeQTzW/jFrl2MXHIQDUyOnklqYyrKEZdYup0a6aYBLKVOllHvLv84HEgB/YDDwzy1Xi4EhZqpRUaxu4cGFpBSkMK37NFwcXaxdzvXlnYXMJGtXcUGUXxS3+9/O5wc/J6ckx9rl1DiVmgMXQgQBEUA00FhKmVr+VBrQ+DrvGSeEiBFCxGRkZFSnVkWximM5x/gq7isGtRxEN79u1i7n+s4lwGe3w3/vhLRYa1dzwZQuUyjUF/Lfg/+1dik1ToUDXAhRH1gLTJZSXnYUtdR2cr/mbu5SyoVSykgpZaSvr2+1ilUUS5NSMmPHDOo512Nq5FRrl3N95w7D4oHg4AiuHrB8FBTaxu3srRq2YmiroaxIXMHpvNPWLqdGqVCACyGc0cJ7qZRyXfnD6UIIv/Ln/YBz5ilRUaxn/dH17D23lyldpuDl6mXtcq4t44gW3sIBHt4MI5dC4TlY+SDoy6xdHQDPhD+Ds4MzH+39yNql1CgVWYUigC+BBCnlpbdWbQQeLv/6YWCD6ctTFOs5X3KeOXvmENEogiGthli7nGvLTILFA7SvH94Evm3AvwsMXgDJf8P3U8AGjjrzdfPlkbBH+OnUTxzIOGDtcmqMiozAbwUeBHoLIfaX/+oH/Ae4SwiRBPyr/M+KUmN8GPMhBWUFTO8+HQdhg7dMZB6FrweANJaHd9uLz3UYDre/APu+hejPrFfjJR4JewSfuj7q/EwTcrrZC6SUfwLXu2Oh9h0/otQKu9N2s+HYBh5v/zitGraydjlXyzqmjbyNenhkMzS6xiHKvV6HjMPw42vg0xpa/cvydV7CzdmNp8OfZsaOGfya/Ct9mqv4qC4bHFYoinXpDDpm7ZyFf31/xncab+1yrpZ1TBt5G8q0kXejdtd+nYMDDP0vNAqF1Y/ZxPLCoa2GEuwZzNy9c9EZddYux+6pAFeUK3wV9xXHc4/zWtRr1HWqa+1yLpd9XLtgqS/Rwrtx6I1fX6c+jFoOjs6wbAQUn7dMndfh5ODElC5TOJV3ijVH1li1lppABbiiXOJ03mkWHlzIXc3v4o6AO6xdzuWyT8DXA0FXDA9vhMZhFXtfg0BtZUpOMqx+BAzWPTn+joA76NakG5/u/5T8snyr1mLvVIArSjkpJbOiZ+Hk4MQr3WxsZ4jzJ7WRt64QHtoATTpU7v2B3WHAXDj+mzYnbkVCCKZETuF86XkWxS6yai32TgW4opT78eSP/H32byZFTKKRWyNrl3PR+VPayLs0Xwtvv45Va6fzg9BjIuz6L8R8ZdoaKynMO4z+wf35Nv5b0grTrFqLPVMBrihAXlke7+1+j1DvUEa2HWntci7KSdZWm5Tmlod3NY9vu2uGthplywtw8k/T1FhFz0Y8i5SST/Z9YtU67JkKcEUB5u2dR3ZJNtN7TMfRwdHa5WhyTsPX/aGkPLybhle/TQdHGL4IvIK1OzWzT1S/zSpqWr8pY9qNYdOxTSRmJ1qtDnumAlyp9Q5lHGJV4ipGhYwizLuCFwbNLTdFC+/iXHjwO2gaYbq2XT1h1ArtBqDlo6Ak7+bvMZMnOj6BRx0PPoz50Go12DMV4EqtpjfqmbFzBr51fZkYPtHa5Whyz5SH93ktvP27mL4P75bwwGLIPALrngSjwfR9VICHiwfjO45nR+oO/jrzl1VqsGcqwJVabVnCMg5nH+blbi9T36W+tcvR9vP+uj8UZmnhHWCG8P5HcE+49z048gP8MsN8/dzEyLYjCagfwId7PsRgpX9I7JUKcKXWSitMY/7++dzufzt3Nb/L2uWUh/cAbRvYB9dBQKT5++z6BEQ+Bn99BAdWmr+/a3B2dGZyl8kknU9i47GNVqnBXqkAV2qtd6PfRUrJ691ft/4BxXmp2jrvgnQYuxaaWejgCCHg3vch6HbYOAlO77ZMv1e4u/nddPTtyPx98ynSFVmlBnukAlyplbYnb+fX07/yVKen8K/vb91i8tO08M5L1cI7MMqy/Ts6wwPfgIcfrBitzcFbmBCCFyJf4FzxOb6N/9bi/dsrFeBKrVOkK+LdXe/SqkErHgp7yLrF5KeXh/dZGLtGu2PSGty8tJUpumJYMQrKLD8KjmgUQZ/APiyKXURmsW2cJmTrVIArtc6nBz4ltTCV6T2m4+zgbL1CCs5p4Z2bAmNWQ/NbrFcLaLsaDv8SUg/C+glWOQhicufJlBnK+OyAbexhbutUgCu1SmJ2It/Gf8t9re8jopEJ11ZXVkFGeXif1sI76Fbr1XKpNvfAXW9D/Hr43/sW7z7IM4jhbYaz5sgajucet3j/9kYFuFJrGKWRGTtn4OHiwfNdnrdeIYWZWnifPwWjV0LQbdar5VpueRY6jYLf3oF4y5+UOCF8Aq5Orny05yOL921vVIArtcaaI2s4mHGQF7q+gGcdT+sUUZgJiwfB+RNaeLewsS1rQVuZMuAjCOgG3z0FqZY9w9LL1YvH2z/O9tPb2ZO+x6J92xsV4EqtkFmcyUd7P6Jbk24MDB5onSIKs+CbwZB9TLtgGHyndeqoCGdXGLEE6jaE5aO1+XoLGhs6lsZujZm9ezZGabRo3/ZEBbhSK3yw+wNK9CW80f0N66z5LsrWwjszSTshp2Uvy9dQWe6NtVqLs2HFGNCXWqzruk51mRQxidisWH48+aPF+rU3KsCVGm/H2R1sObGFxzs8TgvPFpYvoCgbvhmk7Tsyahm07G35GqrKrxMM+RRSdsGm5yy6MmVA8ADaNmzLx3s/psxQZrF+7YkKcKVGKzWU8u/ofxPoHsgTHZ6wfAH/jLwzEmHkMqufDF8lYUOg56twYDn8bbm9ux0dHJkSOYUzBWdYfni5xfq1JyrAlRrti0NfcCrvFG90f4M6jnUs23nxefh2KGQchhFLobUdhvc/7ngJQofAtulw5CeLdXtL01u4temtLDy4kNzSXIv1ay9UgCs11oncE3x56Ev6tehHj6Y9LNt5cY4W3ulx2sXANndbtn9Tc3DQplL8OsKax+DcYYt1/XyX58kvy+fzg59brE97oQJcqZGklMzaOQtXJ1de7PqiZTsvydXCOy0WRnyr3RxTE7i4adNAznVh+QhtesgC2nq1ZXCrwSw7vIyU/BSL9GkvbhrgQohFQohzQojYSx57SwhxRgixv/xXP/OWqSiVs/n4Znal7WJy58n41PWxXMclufDtMEg7pG0Q1fZey/VtCZ4BWojnpcKqh8Cgs0i3E8Mn4igcmbdvnkX6sxcVGYF/DfS9xuNzpZTh5b+2mLYsRam63NJcZsfMpqNvR4a3GW65jkvyYMl9kLof7v8aQmrouKZZVxg0D07+AVtftkiXjes15qGwh9h6YiuxmbE3f0MtcdMAl1L+DljmZyVFMYG5e+aSW5rL9O7TcRAWmiUszdfC++w+LbzbDbBMv9bSaSTc+hzEfAm7LDM3/Vj7x/By9WJ2zGykFTbaskXV+ds9UQhxsHyKpeH1XiSEGCeEiBFCxGRkZFSjO0W5ub3pe1mbtJYHQx+krVdby3Ramg9LhsOZPdqJ7+2sdKenpfV5E9r01Ubhx38ze3f1nOvxdKen2ZO+h99Om78/e1DVAP8UaAmEA6nAdY+UllIulFJGSikjfX19q9idotyczqhj5s6Z+NXzY0KnCZbptLQAlt4PKbu1rVhDB1umX1vg4AjDPgefNrDqYcg6ZvYuh7UZRpBHEHP3zkVv1Ju9P1tXpQCXUqZLKQ1SSiPwOWCh858U5fq+ifuGozlHebXbq7g5u5m/w3/C+/QuuO8LCBtq/j5tjauHdru9cIDlI7WLuGbk7ODM812e50TuCdYlrTNrX/agSgEuhPC75I9DAXVVQbGqlPwUPjvwGb2b9aZXoAX2GSkrhGUj4PROGLYQ2g8zf5+2yquFtuIm+7i2RtzMJ8v3ataLzo06s2D/Agp1hWbty9ZVZBnhcmAH0FYIkSKEeBx4XwhxSAhxEOgFWHFzZaW2k1LyTvQ7OAgHXo161fwdlhVp4Z38NwxdCB0suNLFVrW4HfrNhqM/a3drmtE/52dml2TzVexXZu3L1jnd7AVSylHXePhLM9SiKFXyc/LP/HHmD16MfJEm9ZqYt7OyIu0mllN/wdD/Qsf7zdufPYl8FM4lwI752vFsEWPN1lUH3w70DerLN/Hf8EDbB2jk1shsfdkydSemYtcKygr4T/R/CPEKYXS70ebtTFeszfOe+EO7rbzjA+btzx7d8w4E94RNkyF5p1m7eq7zc+iNehbsX2DWfmyZCnDFrs3fP5+M4gymd5+Ok8NNf6CsOl0xLB8FJ36HIf+nrYNWrubopK2DbxAIK8dCTrLZugpwD2BUyCi+S/qOI+ePmK0fW6YCXLFbcVlxLD+8nAfaPkAH3w7m60hXAitGa2udBy+AcDOP9O1d3YbaiUP6Mu00n9ICs3U1ruM46rvUZ86eOWbrw5apAFfsksFoYMaOGXi5evFc5+fM15GuBFaOgWPbYdAnEDHGfH3VJL5t4P5FcC4OvhsPRvMci+ZZx5PxHcfz15m/2HF2h1n6sGUqwBW7tCJxBfFZ8bzU9SXcXdzN04m+VJsGOPqztvdH5wfN009N1epfcPe/4fBm+O1ds3UzKmQU/vX9mbNnTq07P1MFuGJ30gvT+WTfJ9zS9Bb6Bl1rnzUT0JfCygfh6DYY+DF0fsg8/dR03SdAxIPw+/sQu9YsXbg4uvBsxLMczj7M5uObzdKHrVIBrtid93a/h96o540oMx1QrC/VtkpN+hEGfARdHjF9H7WFENB/DgT2gPVPw5m9Zummb4u+hHmH8cm+TyjRl5ilD1ukAlyxK7+n/M62U9sY13EczTyamb4DfRmsfgSO/KAFT+Sjpu+jtnFygQe+hXqNtIvBeakm78JBODA1cipphWksSVhi8vZtlQpwxW4U64t5J/odWni24JGwR0zfwT/hnbhFu6uw6+Om76O2qu+r7ZlSkqeFuK7Y5F10bdKVns168uWhL8kuqR07YKsAV+zGfw/8lzMFZ5jWfRouji6mbdyggzWPQuL3cO8H0O1J07avQJP22r4xZ/fCxklghj29n+/yPMX6Yj478JnJ27ZFKsAVu5B0PonFcYsZ3HIwXZt0NW3jBp22CdPhzdD3PYgaZ9r2lYvaDYDe0+DQavjT9Gu3gz2Dua/1faxOXM3J3JMmb9/WqABXbJ5RGpm5cyb1XeozNXKqaRs36GDt45CwEe55F7o/Zdr2lavdPhXaD4dfZsLh703e/ITwCbg4uvDx3o9N3ratUQGu2Lz1R9ez79w+pnSZQkPX6x7+VHkGPax7EuI3aHt49HjadG0r1ycEDJ4PTSNg7ZOQZtrdqH3q+vBo+0f5Ofln9p3bZ9K2bY0KcMWmZZdkM2fPHDo36syQVkNM17BBD9+Ng7jv4O5Z0OMZ07Wt3JxzXe10e1cPbY+ZwkyTNv9Q6EP41vXlw5gPa/T5mSrAFZv2YcyHFOoKmd5juunWfBv02u3dsWvhrhlwyyTTtKtUjocfjFwKhee0m6b0ZSZr2s3ZjYkREzmQcYBtp7aZrF1bowJcsVm7Unex8dhGHg17lJYNWpqmUaMB1k+A2DXwr7e0k9UV6/Hvom0Qlvw3fD/FpCtTBrccTKsGrfho70foDDqTtWtLVIArNqnMUMbMnTMJqB/AuI4mWhViNGh3Ax5aBX2mw23qICmb0GE43P4C7PsWok23/M/RwZGpkVM5nX+aVUdWmaxdW6ICXLFJi2IXcTLvJK93fx1XJ9fqN2g0wIZn4OAK6P2GthJCsR29XoeQAfDja3D0F5M1e2vTW+nu151PD3xKXlmeydq1FSrAFZtzKu8Unx/8nHuC7uE2/9uq36DRoN04cmC5FhR3vFj9NhXTcnDQjqhrFAqrH4XMJJM0K4RgauRU8krz+OLQFyZp05aoAFdsipSSWTtn4eLowstdX65+g0YjbHwW9i+Fnq/CnS9Vv03FPOrU1263d3TWDo0uPm+SZkO8QhjYciBL45dytuCsSdq0FSrAFZuy9cRWdqbu5NnOz+Lr5lu9xoxG2PQs7F8Cd74MPV8xTZGK+TQIhBFLtKPYVj+qrRgygUkRkxBC8Mm+T0zSnq1QAa7YjLyyPN7f/T5h3mE80KaaBwYbjbD5Oe3C2B0vaqNvxT407wED5sLx7fDT6yZpskm9JoxtN5bNxzcTnxVvkjZtgQpwxWZ8vOdjzpeeZ3qP6Tg6OFa9IaMRvn8e9n6jXazs9bp2959iPzo/CN2f0Val7PnaJE0+3uFxGtZpyJyYOTXm5h4V4IpNOJBxgNVHVjM6ZDSh3qFVb0hK2DJV+5/+tue1jZNUeNunu2Zox7J9PxVO/lnt5txd3BnfaTzRadH8ceYPExRofSrAFavTG/XM2DEDXzdfJkZMrHpDUsKWFyBmkXaDTp83VXjbM0cnGL4IvIK1OzXPn6x2kw+0eYDmHs2ZEzMHvdE08+vWdNMAF0IsEkKcE0LEXvKYlxBimxAiqfx3E+4wpNQ2SxOWcuT8EV7t9ir1nOtVrREpYetLsPsL7db4f72twrsmcPWEUStAGrU9U0rzq9Wcs6MzkztP5ljuMdYfXW+aGq2oIiPwr4ErT459BfhFStka+KX8z4pSaakFqSzYv4A7A+6kT2CfqjUiJfzwCuxaCD0mwl0zVXjXJN4t4f6vISNR273QaKhWc30C+xDRKIIF+xdQpCsyTY1WctMAl1L+Dlx5PtFgYHH514uBIaYtS6kt3tn1DgCvRb1Wtc2qpIQfXtUudnV/WttZsBaHd2GpnsJS+58auErLXnDve3BkK/w6s1pNCSGY0mUKmcWZLI5bfPM32LCqzoE3llL+czJpGtDYRPUotcgvyb/w2+nfmNBpAk3rN618A1LCj69D9KcQ9ZS2p3ctDe+DKTm8svYgkbN+ptu/f+aLP46jMxitXZZpdX0CIh+DP+fCgZXVaiq8UTh3Nb+Lr+K+IrPYtFvZWlK1L2JKbT3OddfkCCHGCSFihBAxGRkZ1e1OqSGKdEW8G/0urRu2Zmzo2Mo3ICX89AbsXADdxkHf/9S68C4s1bMsOpkBn/zBoPl/sWH/WQZ28iMq2JtZ3ycwYN6fRB/PsnaZpiME3Ps+BN2ubY2QElOt5iZ3nozOqGPB/gUmKtDyqhrg6UIIP4Dy389d74VSyoVSykgpZaSvbzXvrFNqjAX7F5BelM707tNxdnCu3JulhG3TYcd8bVR27/u1Krzjzuby+neHiHrnF1777hB6g2TG4DCiX+/D+8M78eXDkSx8sAsFpXpGLNzJlJX7ycgvtXbZpuHoDA98o+0lvmI05J6pclOBHoGMaDuCdUnrOJZzzIRFWk5VA3wj8HD51w8DG0xTjlIbHM4+zNKEpQxvM5zwRuGVe7OU8PNb8Pc8iHwc+s2uFeFdVKZn1e7TDF7wF/3n/cmaPSncE9aEtRNuYetzt/NQjyA8XLV/CIUQ3B3WhJ+n3MnEXq3YfDCV3h/+xuK/T6KvCdMqbl7aypSyIlgxSvu9isZ3HI+bkxtz98w1YYGWI252R5IQYjnQE/AB0oE3gfXAKiAQOAU8IKW88kLnVSIjI2VMTPV+7FHsm8Fo4MGtD3Km4Awbh2zEs45nxd8sJfwyQzvNvMuj0H+OtotdDZaYls+y6FOs23eG/BI9rRrVZ3S3QO7rHICnW8V+cjmeUcCbG+P4IymTUD8PZg1tT+fAGrDy98iP2qZXYUNg+FdV/od8Uewi5u6Zy5d3f0k3v26mrdFEhBB7pJSRVz1uyVtKVYArKw+vZFb0LN657R0GthxY8TdKCb/Ogj9mQ+eHYcBHNTa8S3QGvj+YyrJdyew5dR4XRwf6dWjC6KjmdA1qWKXVOlJKthxKY+bmeNLyShgR2YyX7w3Bq56LGT6BBf31sTad1uv1Ku80WWooZeB3A2lQpwErBqzAQdje36vrBbiTNYpRaqfM4kw+3vsxUX5RDAgeULk3//auFt4RD9bY8D56roBl0cms3ZtCbrGOYJ96vN6vHfd1Cah20Aoh6N/Rj55tfZn3SxJf/nmCH+LSeKlvW0Z1DcTBwU6noW55Fs4lwPZ/g29bCB1c6SbqONZhUsQkXvvzNbac2FL5v5tWpEbgisW89L+X+Dn5Z9YNWkeQZ1DF3/jbf7QADx8Lgz6pUeFdqjfwQ2waS6OT2XUiG2dHwT1hTRgdFUiPYG/THeR8hSPp+UxbH0v0iWw6BXgya0gHOgRUYjrLluhKYPEASI+Dx34Ev46VbsIojYzcPJKc0hw2Dd1EHcc6Zii06tQUimJVf5/5m/E/j+fpTk8zIXxCxd/423vw2zsQPgYGza8x4X0is5Dlu5JZsyeF7MIyAr3cGNUtkPsjA/Cpb5nwkFKyYf9ZZn2fQFZhKWOiAnnx7pAKz63blPx0+LwXIGDcdqjfqNJNRKdG88RPTzClyxQebf+o6WusBhXgitWU6EsYtnEYDsKBtYPWVnx0878PYPss6DRKO7m8OlvM2oAyvZGf4tNYFp3M38eycHQQ3B3amNFRgdza0sdq0xh5JTrmbjvC4r9P0sDNhVfuDWF45wD7m1ZJPQCL+kLj9vDIZnCq/D+ET//8NPvP7WfLsC00cG1g+hqrSAW4YjWf7PuEhQcX8sXdXxDlF1WxN/0+W7tluuMIGPKpXYd3clYRy3Yls2bPaTILyvBvUJdR3ZrxQGQzGnmY4MBmE4k/m8e0DbHsOXWeyOYNmTG4PaFNPaxdVuXErYfVD0On0TDk/yq9MuXo+aPct+k+RoeM5uVuJjjSz0TURUzFKo7nHGdR7CIGBA+oeHj/MUcL7w7322146wxGfklIZ2l0Mn8kZeIgoE87bbR9R2tfHG1wdBva1IPV43uwdm8K/9l6mIHz/+ShHs15/q42F9aY27ywIZDxqnbNpHGotjNlJbRq2IqhrYayInEFo0NG08yjmXnqNBE1AlfMRkrJYz8+xpHzR9g4ZCPedb1v/qY/P4Kf34T2w7VTyh3ta4yRcr6IFbtOsyrmNOfyS/HzdGVE12aM6NoMP8+61i6vwnKLdHzw02GWRifjU78Or/drx+Dwpma7qGpSRiOseRTiN8DoVdDm7kq9PaMog/7f9eeOgDuYfedsMxVZOWoKRbG49UfXM+2vabzZ402Gtxl+8zf8NQ+2TYOwYTDsc7sJb73ByPbEDJZFn+K3I9p+Pz3b+DImqjk92/ri5Gi/F14PpuQwbX0sB1Jy6R7sxczB7Wnd2N3aZd1cWREsugeyT8ATP0OjkEq9/f/2/x+fHviUJf2W0Mm3k5mKrDgV4IpF5ZTkMHD9QII8glh87+Kb3xzx93ztANvQIXDfl3YR3qm5xazcfZqVu0+TmltCI/c6F0bbAQ3drF2eyRiMkpW7T/PeD4cpLNXz+G0teLZPa+rVsfHvUW4KLOwFLvXgyV+1W/ArqEhXRP/v+tPMvRmL+y62+k8eKsAVi5r+13Q2HdvEyoEradOwzY1fvOP/4MdXtZsw7vtS27DIRhmMkt+PZLA0OplfD6cjgdtb+zK6WyB92jXC2Y5H2zeTXVjGe1sPszLmNH6erkwbEMq97ZtYPdxu6PRu+Lo/NOsGD35Xqb9bq4+sZsaOGXzU8yP6NK/iYSMmogJcsZg96Xt45IdHeLT9o0zpMuXGL975GfzwMrQbqO1nYaPhfS6vhFUxp1m+6zRncorxqe/C/ZHNGNU1kEDvmjParog9p84zbX0s8al53N7ah7cHhRHsW9/aZV3fgRXw3Xht87MBcyr8Nr1Rz30b78MgDXw3+LvK75ppQirAFYvQGXQM3zScEn0J3w3+DjfnG4Rb9ELY+iKEDNCOzLKx8DYaJX8ezWRZdDI/J6SjN0pubeXN6G7NuSu0MS5ONXe0fTN6g5Gl0cnM/imRUp2RcXcE80yvVtR1sdEVQ9uma/um9JsN3Z6s8Nv+d/p/TPx1Iq9FvcaokFFmLPDG1DJCxSIWxy/meO5x5veef+Pw3vW5Ft5t+9vcyDuzoJTVMSks35VMcnYRXvVceOy2FozqFkgLnyoeulzDODk68PAtQfTr4Me7WxKYv/0o3+07w1uDwrgr1AYP6Orzpnam5taXwacNBN9ZobfdEXAHXZt05bMDnzEweCD1XWzrJw01AldM5nT+aYZuGMrt/rczt9cN9lfe/QV8PxXa9oP7F4OT9XfEk1Ky41gWS3cl81NcGjqDJKqFF6OjAunbvgl1nGx0ZGkjoo9nMW1DLEfSC+gT0og3B4bZ3tRSSR58eTfkp2oXNb1bVuhtcVlxjNw8kic7PMmznZ81c5HXpqZQFLOSUjLhlwnsS9/HhiEbaFKvybVfGLMINj8Pbe7VTlaxcnhnF5axdk8Ky3YlcyKzEM+6ztzXOYDRUc1o1cgOlsvZEJ3ByOK/TzJ32xH0RsnTPVsx/s5gXJ1t6B+/7BPweW+o5wtPbAPXim3g9cofr/DzqZ/ZPHTz9f9um5EKcMWsfjj5Ay/+70Ve7vry9c+43PM1bHoOWt8DI76t0l4VpiClZNeJbJbtSmbroTTKDEYimzdkdFQg/Tr42Vbg2KG03BJmfR/P5oOpNPd2461BYfRqW/nNpczmxB/w7RAI7gWjV1boTt+zBWcZ+N1A+rboy79v+7f5a7yCCnDFbPLL8hm8fjA+dX1Y1n8ZTg7XuLSy9xvtINrWd8OIJVYJ79wiHWv3aqPto+cKcHd1YliEP6OjmtO2iRptm9qfSZlM3xjL8YxC7glrzPSBYfg3sJG7UWO+gs2TocdEuKdigTwnZg5fx33N6oGraevV1rz1XUEFuGI270S/w4rDK1jWfxntfdpf/YK932rh3aoPjFgKzpbbwElKyd7k8yyNTub7g6mU6o2EN2vA6KhABnZsarurJmqIMr2RL/48zie/HAVgUp9WPHFbsG2s4NnyIuxaCIP/DyLG3PTleWV59FvXj1CvUBbevdACBV6kVqEoZhGbGcuKwysYGTLy2uG9b6kW3i17WTS880p0fLf3DMuik0lMz6d+HSeGdwlgdFQgYU3t9OACO+Ti5MDTPVsxONyfGZvieP+HRNbsSWHm4Pbc2srHusXd8y5kHtFG4t4tIbD7DV/u4eLB+I7jeX/3+/x15i9u9b/VMnXegBqBK1WmN+oZ/f1oMosz2TBkA+4uV0xD7F8O6ydAcE8YtRyczfvjs5SSAym5LIs+xcYDZynRGeng78noqEAGdWpq+7d+1wLbE8/x1sY4TmUVMaCjH2/0D6WJpxW31C0+D5/3gdI8bWVKg8Abvlxn0DFo/SDqOtdl9YDVOFpop8zrjcBt4OcYxV6tOLyChOwEXur20tXhfWBleXjfafbwLijVs2TnKfrP+5MhC/5i88FUhoT7s3HirWyadBujugWq8LYRvdo24sfJd/D8v9rwU3w6fT78jS/+OI7OYLROQXUbwqgVoC+D5aOhtOCGL3d2dOa5Ls+RdD6Jjcc2WqjI61MjcKXCzhWdIy4zjvjseOIy49iVtovIJpF82ufTy/fDOLhKu3U56DYYtRJczLMeOPZMLkujk9m4/wyFZQba+XkwOiqQIeFNcbeX/atrseSsIt7aFMevh8/RtrE7MwaHERVcgS2HzSHpZ1h2P4T0h/u/ueHRfVJKxm4ZS1phGpuHbaauk/kvzKqLmEqlZBZnamGdFU9cVhxxWXFkFmcC4CAcCPYMpoNPByZGTKSR2yVLxA6tgXVPQvNbtb2YTRzeRWV6Nu4/y7JdyRxMycXV2YEBHZsyOiqQiGYNbHtjJeUqUkq2xafz9qZ4zuQUMyzCn1f7tcPX3QpLTP/ZVO2Ol6D36zd86d70vTz8w8NMipjEuI7jzF6aCnDlujKLM4nPir8Q1vGZ8ZwrPgeAQBDsGUyodyhhPmGEeYfRpmGba98mH7sW1j4BgbfAmFXaNp4mkpCax7LoZNbvO0N+qZ42jeszulsgQzsH4FlXjbbtXXGZgfnbk1j4+3FcnR154e62jIkKtOxe6lJqF9z3fQvDF0H7+2748snbJ7Pj7A6+H/Y9PnXNe0FWBbgCQHZJ9sWwztRG1ulF6YAW1kGeQVpYe2thHeIVcuM9Tf4Ru648vLvDmNUmCe/iMgObD2qj7X3JObg4OdC/gx+jowKJbN5QjbZroOMZBby5MY4/kjIJ9fNg1tD2dA5saLkC9GXwzSA4uw8e3Qr+na/70pO5Jxm6YSj3tbmPN7q/YdayzBLgQoiTQD5gAPTX6uBSKsAtK6ckRwvr7IthnVqYeuH5II8g2nm3uxDW7bzbUc+5CsEbtx7WPKbtuTxmDdSp3oY/Sen5LI1OZt3eFPJK9AT71mN0t0Du6xxAw3rW3zdFMS8pJVsOpTFzczxpeSWMiGzGy/eG4GWp731Bhna7vVEHT24HD7/rvvTfO//N6iOrWTd4HcGewWYryZwBHimlzKzI61WAm09uae7l0yBZ8ZwpOHPh+UD3wIsjax9tZH3VypGqiN8Aqx+FgK4wdg3UqVqbJToDW2NTWRadzO6T53F2FNzbXhttR7XwUqPtWqigVM+8X5JY9OcJ6rs68dI9IYzs2gwHSxwInRarbXzVKAQe+f66q6iyS7Lpt64f3Zp0Y17veWYrRwV4DZJXlkdCVsKFoI7LjCOlIOXC8wH1Ay6bs27n3Q4PFw/TFxK/UTs81r8LjF1bpfA+llHA8uhk1uxNIadIR5C3G6O6BTK8SwDe9a2zV4piW46k5zNtfSzRJ7LpFODJrCEd6BBggZuxEjbDyjHQ4QEYthCuM4j4/ODnzNs3j6/7fk2Xxl3MUoq5AvwEcB6QwH+llDe8v1QFeOUVlBWQkJ1w2YqQ5PzkC8/71/cn1Dv0wug61DsUzzpm+MtdkAGp+7W5wbPlv+efLR95rwPXiv8DUao38GNcOsuiT7HzeDZODoJ7wpowOiqQHsHelhlhKXZFSsmG/WeZ9X0CWYWljIkK5MW7Q/B0M/MF7N9nw68ztf3Eb7/26VLF+mIGfDeAxm6NWdpvqVl+WjRXgPtLKc8IIRoB24BJUsrfr3jNOGAcQGBgYJdTp05Vub+arlBXeNnIOj4rnpN5Jy8871fP70JI/zOybuhqhgs8hVmQuu+SsN4Pef+M8AV4t4KmEdoFnoixFR55n8oqZNmuZNbEpJBVWEZAw7qM6hbI/ZEBNHK34t14it3IK9Exd9sRFv99kgZuLrxybwjDOweY7x99KbWL87FrYeQyCOl3zZetP7qeaX9N44M7PqBvi74mL8Psq1CEEG8BBVLK2dd7jRqBX1SkK+Jw9uGL0yBZcZzMPYlE+340dmt8Max9tN+9XCt+qnbFC8m+ZGS9D84egNyLI3y8Wmph3TRc+71Jx0qNtnUGI9vi01kWncyfRzNxdBD8q10jRkc15/ZWPmq0rVRJ/Nk8pm2IZc+p80Q2b8iMwe0JbWqGaUIAXTF81U/bN+Xxn6Bx2FUvMRgNjNg8ggJdARuHbMTF0bQXXE0e4EKIeoCDlDK//OttwAwp5Q/Xe09tDfBifTGJ2YmXzVmfyDuBUWq3Dzeq24hQn8unQcyyrrT4PKQeuCSs90POJT8RNWxxeVj7darwhvdXOp1dxIrdyayKSSEjv5Smnq6M7BbIiK7NaOyhRttK9RmNkjV7U/jP1sPkFut4qEdznr+rDR7muAs3LxU+76Ud/ffkdqh39f+ff5/9m/HbxvNC5As8HPawSbs3R4AHA9+V/9EJWCalvOHGurUhwEv0JSSeT7xszvp47vELYe3t6n3h4uI/Ye3r5muGQnKvDuvzJy4+36D51WFdt3rTMXqDkV8On2NZdDK/J2UggN4hjRgdFcidbRrhqEbbihnkFJUx+6dElkYn41O/Dq/3a8fg8Kamn4s+s0cbiTftDA9tuOZpUk9te4pDmYfYMmyLSa9FqRt5zKDUUMqR7COXTYMcyzmGQRoA8HL1uuymmFDvUBq5NTL9X6ySPEg7eHlYZx+7+Lxn4MWgbhoOfuHgZrrpmDM5xazclczKmNOk55XS2KMOI7oGMrJrM5raygb+So13MCWHaetjOZCSS/dgL2YObk/rxiY+qOPQGlj7OHR+CAbOu2plSmJ2Ivdvup+HQh/iha4vmKxbFeDVVGYoI+l80mVhffT8UfRSD0DDOg0vrgYpH2E3dmts+rAuLbg6rLOSLj7vEXBFWEdAPdNvEJRdWMbuk9ms2n2a7YnnkMAdrX0ZExVI75BGlr0FWlHKGYySFbuTef+HRApL9Tx+Wwue7dPatLtR/jIT/pgNfd+D7k9d9fS0v6bx/fHv2ThkIwHuASbpUgV4JegMOpJyki6bs07KSUJv1MLas44noV4XgzrUOxS/en6mD+uyQkg7dHlYZx6B8guduDctD+pLRtb1TT8dk1NUxqEzudqvFO33lPPFAPjUr8OIrgGM7BpIMy8bO4VcqbWyCkp5/4dEVsacxs/TlWkDQrm3fRPT/D9qNMKqByFxi3bncas+lz2dXpjOgO8G0CuwF+/f8X71+0MF+HXpjDqO5Ry7bM76yPkj6Iw6ANxd3K+aBvGv72+GsC7SwvrStdaZiVA+d079JleHtXtj09YA5BbriL0irJOziy4839zbjfb+nnT096RDgCddg7xwVqNtxUbtOXWeaetjiU/N4/bWPrw9KIxg3+pt9QBoPwkvugdyTsOTv4BP68uenrd3Hp8f+pwV/VcQ5nP1qpXKUgGOdoLMsZxjl91unpidSJmxDAB3Z/cLe4OE+oQS5hVGgHuA6cNaV6zdqntpWGckXAzreo2uuMAYfsP9GKoqr0QL69gzuRxM0X4/mXUxrJt51aWDvycd/BvQMcCT9k09zX/jhKKYmN5gZGl0MrN/SqRUZ2TcHcE806tV9c9DzUmGhb2gbgN44ufLFgEUlBXQ/7v+BHsGs+ieRdXOkFoX4HqjnhO5Jy6bs07MTqTUUApAPed6tPNqd2FvkFDvUJq5N8NBmHg0qSuB9LhLbow5AOfiofxCJ24+l4d10whw97vubbtVlV+iI+5s3oWwPnQmlxOZhRee929QHtYBnhfCWm0cpdQkGfmlvLslgXX7zuDfoC5vDQrjrtBq/hR7agcsHqgdXjJmDThenGtfeXgls6Jn8UnvT+jZrGe1uqnRAW4wGjiZd/KyOevD2YcpMZQA4ObkRohXyGVz1s09mps+rPWlWjhfOmd9Lh7K586p63V1WHv4mzysC0v1xJ3NK58GyeFgeVj/861u6umqTYMEeNIhoAHtm3qofUeUWiP6eBbTNsRyJL2APiGNeHNgGIHe1bh+s/db2DgRop6Ce9+78LDOqGPYhmEIIVg3aB1ODlW/kFpjAtwojVpYZ1683TwhO4FivXZRra5TXS2sL7nlvLlHc9MfPqov06Y9Lg3r9DhtC0oA1wZXh7VnM5OHdVGZnvgLYZ3LwTO5HMsouBDWTTwuDWtPOvh74qPCWqnldAYjX/91ko9+PoLeKHm6ZyvG3xmMq3MVc+KH12DnAhj4MXR55MLDvyb/ynPbn2Na92k80PaBKtdr1wG+M3Unf6T8QVxWHAlZCRTptXlaV0dX2nq1vTgN4hVKC88Wpg9rgw7OJVw+Z50eCwZt7pw6nuVBHX4xrBs0N3lYF5cZiE+9dBokh6PnCjCWfwt93etcuLjYMcCT9v6eao8RRbmBtNwSZn0fz+aDqTT3duPtQWH0bNvo5m+8kkEPy0fA8d+0m3yCbgO0Tbge+eERTuadZMuwLVXbbx87D/D3d7/PqsRVtG3Y9rK9QYI9g6v1Y8k1GfSQcfjysE47BOVz59Tx0O5avDSsG7YweViX6AwkpF4+Z510rgBDeVr71Hcpn7NuQIfyEba6RV1RqubPpEymb4zleEYhfcOaMG1gKP6VvQmtJBe++BcUZsK47dAwCIBDGYd4cOuDfNjzQ/oE9rlxG9dh1wGeX5aPq5Mrzg4mXgFhNEBG4tVhXT4dg0t9bQXIlWF9gxOrq6JUb+Bwav5l0yBJ6fnoy8Paq57LhZD+ZzqkiYerOuRAUUyoVG/giz9O8MmvSQgEk/q04onbgnFxqsT/71nHtNN8PJpqG1+V79SZVphGk3pNqlybXQe4SRgNkJl0RVgfBF35sjnnelePrL1amjysy/RGEtPKw/pMDgdTcjmSno/OoH0fGro5X5yzLh9hN/VUYa0olnImp5gZm+L4MS6dYN96zBzcnltbVWJzuWPbYcl90PpuGLkUTDClW7sC3GiErKOXh3XqAdCVL5tzdtO2Rb00rL1bmeQ/9KV0Bi2sY89oo+pDKbkkpuVTZtDWe3vWdb6wdE9bb+1JQMO6KqwVxQZsTzzHWxvjOJVVxICOfrzRP5QmnhWcptz1OWx5AW57Hv71VrVrqbkBbjRC9vGrw7osX3veyfXqsPZpY5awTkovKA/rHA6l5JKQlk+ZXgtrd1eny8K6o38DmnmpsFYUW1aiM/Df/x1nwW9HcXYQPH9XGx6+Jejmdx9LCZufhz1fwbDPoWPVV6BATQlwKa8d1qV52vOOdaBJhyvCuu1li+tNQW8wcjSj4MKt5gdTcklIzaP0n7Cu40SYvwcdAxpcuO080MtNHV6gKHYqOauItzbF8evhc7Rt7M6MwWFEBd9kkziDDr4dCqd3waNbIOCq/K0w+w7wfUvg4CotuEtytcccXaBx+8vD2jdE23DdhAxGybGMggu3mh9MySE+NY8SnRbW9VwcCbtkb5AO/p4EeddTYa0oNYyUkm3x6by9KZ4zOcUMi/Dn1X7t8HW/wX0VRdnaQRC6Yu0gCE//KvV9vQA38Ro8M8k9owV32NBLwrrdNTdUrw6DUXIis+DCsr1DKbnEnc2jWKfd9u7m4khYUw9Gd2tOhwAPOvg3INhHhbWi1AZCCO4Oa8LtrX2Zvz2Jhb8fZ1tCOi/c3Zax3Ztf+8ASNy8YtUK7qHn+ZJUD/Lo12cUI3AyMRsmJrMIL0yBaWOdSWKaFtauzA2FNL15c7BjgSbBvfXWqjKIoABzPKODNjXH8kZRJWFMPZg5pT+fA65xqpS8Fp6rfAW3fUyjVZDRKTmUXcTAl58KNMXFn8ygo1fYoqePkQGhTDzr6/7POugEtfeupQwkURbkhKSVbDqUxc3M8aXkljIhsxsv3huBl4o3gak2ASylJzi66ZM46l9izueSXaGHt4uRAOz8trP9ZFdK6UX0V1oqiVFlBqZ55vySx6M8T1Hd14qV7QhjZtZnJpldrZIBLKUk5X3xxzrp8+V7eP2Ht6ECIn/uFaZAOAZ60aeyuDiBQFMUsjqTnM219LNEnsukU4MmsIR3oEFD9w43tPsCllJzJKb44Z13+K6dI2/3P2VHQtok7Hfwv7g3SprF75W6DVRRFqSYpJRv2n2XW9wlkFZYyJiqQF+8OqdZhKHa9CmXeL0l8/fdJsgu13f+cHARtGrvTN6zJhdvO2zZxp46TiXchVBRFqSQhBEMi/OndrhFzfjrCNztOsvVQGvNHd6ZHS9MeMG4XAd7Ew5V/tWt0YW+QkCbuVd+3V1EUxQI8XJ15a1AYD0Q2492tCbTwqdpWsjdiN1MoiqIotdX1plDUBLGiKIqdUgGuKIpip6oV4EKIvkKIRCHEUSHEK6YqSlEURbm5Kge4EMIRWADcC4QCo4QQoaYqTFEURbmx6ozAuwFHpZTHpZRlwApgsGnKUhRFUW6mOgHuD5y+5M8p5Y9dRggxTggRI4SIycjIqEZ3iqIoyqXMfhFTSrlQShkppYz09fU1d3eKoii1RnUC/AzQ7JI/B5Q/piiKolhAlW/kEUI4AUeAPmjBvRsYLaWMu8F7MoBTVeoQfIDMKr7X1qjPYntqyucA9VlsVXU+S3Mp5VVTGFW+lV5KqRdCTAR+BByBRTcK7/L3VHkORQgRc607keyR+iy2p6Z8DlCfxVaZ47NUay8UKeUWYIuJalEURVEqQd2JqSiKYqfsKcAXWrsAE1KfxfbUlM8B6rPYKpN/FovuRqgoiqKYjj2NwBVFUZRLqABXFEWxUzYX4Dfb4VAIUUcIsbL8+WghRJAVyqyQCnyWR4QQGUKI/eW/nrBGnTcjhFgkhDgnhIi9zvNCCDGv/HMeFEJ0tnSNFVGBz9FTCJF7yfdjuqVrrCghRDMhxHYhRLwQIk4I8dw1XmMv35eKfBab/94IIVyFELuEEAfKP8fb13iNafNLSmkzv9DWkx8DggEX4AAQesVrngY+K/96JLDS2nVX47M8Asy3dq0V+Cx3AJ2B2Os83w/YCgigOxBt7Zqr+Dl6AputXWcFP4sf0Ln8a3e0m+qu/PtlL9+XinwWm//elP93rl/+tTMQDXS/4jUmzS9bG4FXZIfDwcDi8q/XAH2EEMKCNVZUjdmtUUr5O5B9g5cMBr6Rmp1AAyGEn2Wqq7gKfA67IaVMlVLuLf86H0jg6s3k7OX7UpHPYvPK/zsXlP/RufzXlatETJpfthbgFdnh8MJrpJR6IBcw7VHPplGh3RqB+8p/vF0jhGh2jeftQUU/qz3oUf4j8FYhRJi1i6mI8h/DI9BGfJeyu+/LDT4L2MH3RgjhKITYD5wDtkkpr/s9MUV+2VqA1zabgCApZUdgGxf/ZVasYy/anhOdgE+A9dYt5+aEEPWBtcBkKWWeteupjpt8Frv43kgpDVLKcLTN/boJIdqbsz9bC/CK7HB44TXlG2p5AlkWqa5ybvpZpJRZUsrS8j9+AXSxUG2mViN2ppRS5v3zI7DUtolwFkL4WLms6xJCOKMF3lIp5bprvMRuvi83+yz29r2RUuYA24G+Vzxl0vyytQDfDbQWQrQQQrigTfJvvOI1G4GHy78eDvwqy68I2JibfpYr5iMHoc392aONwEPlqx66A7lSylRrF1VZQogm/8xHCiG6of3/YYuDA8rr/BJIkFLOuc7L7OL7UpHPYg/fGyGErxCiQfnXdYG7gMNXvMyk+VWtzaxMTV5nh0MhxAwgRkq5Ee0b/a0Q4ijaBamR1qv4+ir4WZ4VQgwC9Gif5RGrFXwDQojlaKsAfIQQKcCbaBdokFJ+hrahWT/gKFAEPGqdSm+sAp9jODBBCKEHioGRNjo4ALgVeBA4VD7nCvAaEAj29X2hYp/FHr43fsBioZ0X7ACsklJuNmd+qVvpFUVR7JStTaEoiqIoFaQCXFEUxU6pAFcURbFTKsAVRVHslApwRVEUO6UCXFEUxU6pAFcURbFT/w/+YNnldxGZNQAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"df2.plot();"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 720x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"df2.plot(marker='*', lw=0, figsize=(10,5));"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.4"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment