{
  "nbformat_minor": 0, 
  "nbformat": 4, 
  "cells": [
    {
      "execution_count": null, 
      "cell_type": "code", 
      "source": [
        "%matplotlib inline"
      ], 
      "outputs": [], 
      "metadata": {
        "collapsed": false
      }
    }, 
    {
      "source": [
        "\nBar plots\n==========\n\nAn example of bar plots with matplotlib.\n\n"
      ], 
      "cell_type": "markdown", 
      "metadata": {}
    }, 
    {
      "execution_count": null, 
      "cell_type": "code", 
      "source": [
        "import numpy as np\nimport matplotlib.pyplot as plt\n\nn = 12\nX = np.arange(n)\nY1 = (1 - X / float(n)) * np.random.uniform(0.5, 1.0, n)\nY2 = (1 - X / float(n)) * np.random.uniform(0.5, 1.0, n)\n\nplt.axes([0.025, 0.025, 0.95, 0.95])\nplt.bar(X, +Y1, facecolor='#9999ff', edgecolor='white')\nplt.bar(X, -Y2, facecolor='#ff9999', edgecolor='white')\n\nfor x, y in zip(X, Y1):\n    plt.text(x + 0.4, y + 0.05, '%.2f' % y, ha='center', va= 'bottom')\n\nfor x, y in zip(X, Y2):\n    plt.text(x + 0.4, -y - 0.05, '%.2f' % y, ha='center', va= 'top')\n\nplt.xlim(-.5, n)\nplt.xticks(())\nplt.ylim(-1.25, 1.25)\nplt.yticks(())\n\nplt.show()"
      ], 
      "outputs": [], 
      "metadata": {
        "collapsed": false
      }
    }
  ], 
  "metadata": {
    "kernelspec": {
      "display_name": "Python 2", 
      "name": "python2", 
      "language": "python"
    }, 
    "language_info": {
      "mimetype": "text/x-python", 
      "nbconvert_exporter": "python", 
      "name": "python", 
      "file_extension": ".py", 
      "version": "2.7.12", 
      "pygments_lexer": "ipython2", 
      "codemirror_mode": {
        "version": 2, 
        "name": "ipython"
      }
    }
  }
}