Graficos con matplotlib.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** Ejemplo Gráfico 2D **"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[  1.00000000e+00   1.06279052e+00   1.12533323e+00   1.18738131e+00\n",
      "   1.24868989e+00   1.30901699e+00   1.36812455e+00   1.42577929e+00\n",
      "   1.48175367e+00   1.53582679e+00   1.58778525e+00   1.63742399e+00\n",
      "   1.68454711e+00   1.72896863e+00   1.77051324e+00   1.80901699e+00\n",
      "   1.84432793e+00   1.87630668e+00   1.90482705e+00   1.92977649e+00\n",
      "   1.95105652e+00   1.96858316e+00   1.98228725e+00   1.99211470e+00\n",
      "   1.99802673e+00   2.00000000e+00   1.99802673e+00   1.99211470e+00\n",
      "   1.98228725e+00   1.96858316e+00   1.95105652e+00   1.92977649e+00\n",
      "   1.90482705e+00   1.87630668e+00   1.84432793e+00   1.80901699e+00\n",
      "   1.77051324e+00   1.72896863e+00   1.68454711e+00   1.63742399e+00\n",
      "   1.58778525e+00   1.53582679e+00   1.48175367e+00   1.42577929e+00\n",
      "   1.36812455e+00   1.30901699e+00   1.24868989e+00   1.18738131e+00\n",
      "   1.12533323e+00   1.06279052e+00   1.00000000e+00   9.37209480e-01\n",
      "   8.74666766e-01   8.12618685e-01   7.51310113e-01   6.90983006e-01\n",
      "   6.31875447e-01   5.74220708e-01   5.18246326e-01   4.64173205e-01\n",
      "   4.12214748e-01   3.62576010e-01   3.15452894e-01   2.71031373e-01\n",
      "   2.29486757e-01   1.90983006e-01   1.55672074e-01   1.23693320e-01\n",
      "   9.51729475e-02   7.02235141e-02   4.89434837e-02   3.14168389e-02\n",
      "   1.77127493e-02   7.88529869e-03   1.97327157e-03   0.00000000e+00\n",
      "   1.97327157e-03   7.88529869e-03   1.77127493e-02   3.14168389e-02\n",
      "   4.89434837e-02   7.02235141e-02   9.51729475e-02   1.23693320e-01\n",
      "   1.55672074e-01   1.90983006e-01   2.29486757e-01   2.71031373e-01\n",
      "   3.15452894e-01   3.62576010e-01   4.12214748e-01   4.64173205e-01\n",
      "   5.18246326e-01   5.74220708e-01   6.31875447e-01   6.90983006e-01\n",
      "   7.51310113e-01   8.12618685e-01   8.74666766e-01   9.37209480e-01\n",
      "   1.00000000e+00   1.06279052e+00   1.12533323e+00   1.18738131e+00\n",
      "   1.24868989e+00   1.30901699e+00   1.36812455e+00   1.42577929e+00\n",
      "   1.48175367e+00   1.53582679e+00   1.58778525e+00   1.63742399e+00\n",
      "   1.68454711e+00   1.72896863e+00   1.77051324e+00   1.80901699e+00\n",
      "   1.84432793e+00   1.87630668e+00   1.90482705e+00   1.92977649e+00\n",
      "   1.95105652e+00   1.96858316e+00   1.98228725e+00   1.99211470e+00\n",
      "   1.99802673e+00   2.00000000e+00   1.99802673e+00   1.99211470e+00\n",
      "   1.98228725e+00   1.96858316e+00   1.95105652e+00   1.92977649e+00\n",
      "   1.90482705e+00   1.87630668e+00   1.84432793e+00   1.80901699e+00\n",
      "   1.77051324e+00   1.72896863e+00   1.68454711e+00   1.63742399e+00\n",
      "   1.58778525e+00   1.53582679e+00   1.48175367e+00   1.42577929e+00\n",
      "   1.36812455e+00   1.30901699e+00   1.24868989e+00   1.18738131e+00\n",
      "   1.12533323e+00   1.06279052e+00   1.00000000e+00   9.37209480e-01\n",
      "   8.74666766e-01   8.12618685e-01   7.51310113e-01   6.90983006e-01\n",
      "   6.31875447e-01   5.74220708e-01   5.18246326e-01   4.64173205e-01\n",
      "   4.12214748e-01   3.62576010e-01   3.15452894e-01   2.71031373e-01\n",
      "   2.29486757e-01   1.90983006e-01   1.55672074e-01   1.23693320e-01\n",
      "   9.51729475e-02   7.02235141e-02   4.89434837e-02   3.14168389e-02\n",
      "   1.77127493e-02   7.88529869e-03   1.97327157e-03   0.00000000e+00\n",
      "   1.97327157e-03   7.88529869e-03   1.77127493e-02   3.14168389e-02\n",
      "   4.89434837e-02   7.02235141e-02   9.51729475e-02   1.23693320e-01\n",
      "   1.55672074e-01   1.90983006e-01   2.29486757e-01   2.71031373e-01\n",
      "   3.15452894e-01   3.62576010e-01   4.12214748e-01   4.64173205e-01\n",
      "   5.18246326e-01   5.74220708e-01   6.31875447e-01   6.90983006e-01\n",
      "   7.51310113e-01   8.12618685e-01   8.74666766e-01   9.37209480e-01]\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "t = np.arange(0.0, 2.0, 0.01)\n",
    "s = 1 + np.sin(2*np.pi*t)\n",
    "print s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "t = np.arange(0.0, 2.0, 0.01)\n",
    "s = 1 + np.sin(2*np.pi*t)\n",
    "plt.plot(t, s)\n",
    "\n",
    "plt.xlabel('time (s)')\n",
    "plt.ylabel('voltage (mV)')\n",
    "plt.title(u'Gráfico')\n",
    "plt.grid(True)\n",
    "plt.savefig(\"test.png\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** Ejemplo Gráfico 3D **"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import cm\n",
    "from matplotlib.ticker import LinearLocator, FormatStrFormatter\n",
    "import numpy as np\n",
    "\n",
    "\n",
    "fig = plt.figure()\n",
    "ax = fig.gca(projection='3d')\n",
    "\n",
    "# Make data.\n",
    "X = np.arange(-5, 5, 0.25)\n",
    "Y = np.arange(-5, 5, 0.25)\n",
    "X, Y = np.meshgrid(X, Y)\n",
    "R = np.sqrt(X**2 + Y**2)\n",
    "Z = np.sin(R)\n",
    "\n",
    "# Plot the surface.\n",
    "surf = ax.plot_surface(X, Y, Z, cmap=cm.coolwarm,\n",
    "                       linewidth=0, antialiased=False)\n",
    "\n",
    "# Customize the z axis.\n",
    "ax.set_zlim(-1.01, 1.01)\n",
    "ax.zaxis.set_major_locator(LinearLocator(10))\n",
    "ax.zaxis.set_major_formatter(FormatStrFormatter('%.02f'))\n",
    "\n",
    "# Add a color bar which maps values to colors.\n",
    "fig.colorbar(surf, shrink=0.5, aspect=5)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Leer un archivo CSV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import csv\n",
    "rows = []\n",
    "with open('geo_pos.csv', 'rb') as csvfile:\n",
    "    reader = csv.reader(csvfile)\n",
    "    for row in reader:\n",
    "        rows.append(row)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[['altura', 'latitud', 'longitud'], ['10000', '-72.046743', '40.160123999999996'], ['9900', '-72.5208227', '39.433423'], ['9800', '-72.9831406', '38.713316'], ['9700', '-73.43393309999999', '37.999797'], ['9600', '-73.87343419999999', '37.29286'], ['9500', '-74.30187550000001', '36.592499'], ['9400', '-74.7194862', '35.898708'], ['9300', '-75.12649309999999', '35.211481'], ['9200', '-75.5231206', '34.530812000000005'], ['9100', '-75.9095907', '33.856695'], ['9000', '-76.28612299999999', '33.18912399999999'], ['8900', '-76.6529347', '32.528093'], ['8800', '-77.0102406', '31.873596'], ['8700', '-77.35825310000001', '31.225627'], ['8600', '-77.6971822', '30.58418'], ['8500', '-78.0272355', '29.949249000000002'], ['8400', '-78.34861819999999', '29.320828000000002'], ['8300', '-78.6615331', '28.698911'], ['8200', '-78.9661806', '28.083492'], ['8100', '-79.26275869999999', '27.474565'], ['8000', '-79.551463', '26.872124'], ['7900', '-79.8324867', '26.276163'], ['7800', '-80.10602060000001', '25.686676'], ['7700', '-80.37225310000001', '25.103657'], ['7600', '-80.6313702', '24.5271'], ['7500', '-80.8835555', '23.956999'], ['7400', '-81.1289902', '23.393348'], ['7300', '-81.36785309999999', '22.836140999999998'], ['7200', '-81.6003206', '22.285372'], ['7100', '-81.8265667', '21.741035'], ['7000', '-82.04676300000001', '21.203124'], ['6900', '-82.2610787', '20.671633'], ['6800', '-82.4696806', '20.146556'], ['6700', '-82.6727331', '19.627886999999998'], ['6600', '-82.8703982', '19.11562'], ['6500', '-83.0628355', '18.609749'], ['6400', '-83.2502022', '18.110267999999998'], ['6300', '-83.4326531', '17.617171'], ['6200', '-83.6103406', '17.130452'], ['6100', '-83.78341470000001', '16.650105'], ['6000', '-83.952023', '16.176123999999998'], ['5900', '-84.11631070000001', '15.708503'], ['5800', '-84.2764206', '15.247236'], ['5700', '-84.43249309999999', '14.792316999999999'], ['5600', '-84.5846662', '14.343739999999999'], ['5500', '-84.7330755', '13.901499'], ['5400', '-84.87785420000002', '13.465587999999999'], ['5300', '-85.0191331', '13.036001'], ['5200', '-85.15704060000002', '12.612732000000001'], ['5100', '-85.2917027', '12.195775'], ['5000', '-85.423243', '11.785124'], ['4900', '-85.5517827', '11.380773'], ['4800', '-85.6774406', '10.982716'], ['4700', '-85.80033309999999', '10.590947'], ['4600', '-85.92057419999999', '10.20546'], ['4500', '-86.03827550000001', '9.826248999999999'], ['4400', '-86.1535462', '9.453308'], ['4300', '-86.2664931', '9.086630999999999'], ['4200', '-86.3772206', '8.726212'], ['4100', '-86.4858307', '8.372045'], ['4000', '-86.592423', '8.024124'], ['3900', '-86.6970947', '7.682443'], ['3800', '-86.79994059999999', '7.346996'], ['3700', '-86.90105310000001', '7.017777'], ['3600', '-87.0005222', '6.69478'], ['3500', '-87.0984355', '6.377999000000001'], ['3400', '-87.1948782', '6.067428'], ['3300', '-87.2899331', '5.7630609999999995'], ['3200', '-87.38368059999999', '5.464892'], ['3100', '-87.4761987', '5.172915000000001'], ['3000', '-87.56756299999999', '4.887124'], ['2900', '-87.65784670000001', '4.607513'], ['2800', '-87.7471206', '4.3340760000000005'], ['2700', '-87.83545310000001', '4.066807'], ['2600', '-87.9229102', '3.8057000000000003'], ['2500', '-88.0095555', '3.550749'], ['2400', '-88.0954502', '3.301948'], ['2300', '-88.1806531', '3.059291'], ['2200', '-88.2652206', '2.8227720000000005'], ['2100', '-88.3492067', '2.592385'], ['2000', '-88.432663', '2.368124'], ['1900', '-88.5156387', '2.149983'], ['1800', '-88.5981806', '1.937956'], ['1700', '-88.68033310000001', '1.7320369999999998'], ['1600', '-88.7621382', '1.5322200000000001'], ['1500', '-88.8436355', '1.3384989999999999'], ['1400', '-88.92486219999999', '1.1508680000000002'], ['1300', '-89.0058531', '0.9693210000000001'], ['1200', '-89.08664060000001', '0.793852'], ['1100', '-89.1672547', '0.6244550000000001'], ['1000', '-89.247723', '0.46112400000000003'], ['900', '-89.3280707', '0.30385300000000004'], ['800', '-89.40832060000001', '0.1526360000000001'], ['700', '-89.4884931', '0.007467000000000102'], ['600', '-89.5686062', '-0.13166']]\n"
     ]
    }
   ],
   "source": [
    "print rows"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** eval **"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "62"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p = lambda x: eval('(x+1)**2 + (x+5) + 2', {'x':x})\n",
    "p(6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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