{
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  "cells": [
    {
      "execution_count": null, 
      "cell_type": "code", 
      "source": [
        "%matplotlib inline"
      ], 
      "outputs": [], 
      "metadata": {
        "collapsed": false
      }
    }, 
    {
      "source": [
        "\n3D plotting\n============\n\nDemo 3D plotting with matplotlib and style the figure.\n\n"
      ], 
      "cell_type": "markdown", 
      "metadata": {}
    }, 
    {
      "execution_count": null, 
      "cell_type": "code", 
      "source": [
        "import matplotlib.pyplot as plt\nfrom mpl_toolkits.mplot3d import axes3d\n\nax = plt.gca(projection='3d')\nX, Y, Z = axes3d.get_test_data(0.05)\ncset = ax.contourf(X, Y, Z)\nax.clabel(cset, fontsize=9, inline=1)\n\nplt.xticks(())\nplt.yticks(())\nax.set_zticks(())\n\n\nax.text2D(-0.05, 1.05, \" 3D plots             \\n\",\n          horizontalalignment='left',\n          verticalalignment='top',\n          bbox=dict(facecolor='white', alpha=1.0),\n          family='Lint McCree Intl BB',\n          size='x-large',\n          transform=plt.gca().transAxes)\n\nax.text2D(-0.05, .975, \" Plot 2D or 3D data\",\n          horizontalalignment='left',\n          verticalalignment='top',\n          family='Lint McCree Intl BB',\n          size='medium',\n          transform=plt.gca().transAxes)\n\nplt.show()"
      ], 
      "outputs": [], 
      "metadata": {
        "collapsed": false
      }
    }
  ], 
  "metadata": {
    "kernelspec": {
      "display_name": "Python 2", 
      "name": "python2", 
      "language": "python"
    }, 
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      "mimetype": "text/x-python", 
      "nbconvert_exporter": "python", 
      "name": "python", 
      "file_extension": ".py", 
      "version": "2.7.12", 
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        "version": 2, 
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}