jiffyclub/mpl_sheets_pandas.ipynb

## mpl_sheets_pandas.ipynb
{
 "metadata": {
  "name": "",
  "signature": "sha256:24c78e6f8b72e4226b3e451f46a83530dc3fd8dbbc8ebcc21517bdbad2d92173"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import matplotlib.pyplot as plt\n",
      "import pandas as pd"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%matplotlib inline"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df = pd.DataFrame({'a': ['x', 'y', 'z'], 'b': [5, 9, 2]})"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Default plot style:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df.plot(x='a', y='b', kind='bar', legend=False)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 15,
       "text": [
        "<matplotlib.axes._subplots.AxesSubplot at 0x108968da0>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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lpOVyKUnH5+V+1noes+2ppI/TMXeBjrLf2L/+6lHHDADo1jpPl/sHSf8u6Xzb99v+9e3H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\nA0BhGMwAUBgGMwAUhsEMAIX5P4W2q6WDBg0MAAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x1089747b8>"
       ]
      }
     ],
     "prompt_number": 15
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "With matplotlib stylesheet. Examples: http://matplotlib.org/gallery.html#style_sheets"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "with plt.style.context('fivethirtyeight'):\n",
      "    df.plot(x='a', y='b', kind='bar', legend=False)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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       "text": [
        "<matplotlib.figure.Figure at 0x1088324e0>"
       ]
      }
     ],
     "prompt_number": 14
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}
	{
	"metadata": {
	"name": "",
	"signature": "sha256:24c78e6f8b72e4226b3e451f46a83530dc3fd8dbbc8ebcc21517bdbad2d92173"
	},
	"nbformat": 3,
	"nbformat_minor": 0,
	"worksheets": [
	{
	"cells": [
	{
	"cell_type": "code",
	"collapsed": false,
	"input": [
	"import matplotlib.pyplot as plt\n",
	"import pandas as pd"
	],
	"language": "python",
	"metadata": {},
	"outputs": [],
	"prompt_number": 2
	},
	{
	"cell_type": "code",
	"collapsed": false,
	"input": [
	"%matplotlib inline"
	],
	"language": "python",
	"metadata": {},
	"outputs": [],
	"prompt_number": 3
	},
	{
	"cell_type": "code",
	"collapsed": false,
	"input": [
	"df = pd.DataFrame({'a': ['x', 'y', 'z'], 'b': [5, 9, 2]})"
	],
	"language": "python",
	"metadata": {},
	"outputs": [],
	"prompt_number": 4
	},
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"Default plot style:"
	]
	},
	{
	"cell_type": "code",
	"collapsed": false,
	"input": [
	"df.plot(x='a', y='b', kind='bar', legend=False)"
	],
	"language": "python",
	"metadata": {},
	"outputs": [
	{
	"metadata": {},
	"output_type": "pyout",
	"prompt_number": 15,
	"text": [
	"<matplotlib.axes._subplots.AxesSubplot at 0x108968da0>"
	]
	},
	{
	"metadata": {},
	"output_type": "display_data",
	"png": 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	"text": [
	"<matplotlib.figure.Figure at 0x1089747b8>"
	]
	}
	],
	"prompt_number": 15
	},
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"With matplotlib stylesheet. Examples: http://matplotlib.org/gallery.html#style_sheets"
	]
	},
	{
	"cell_type": "code",
	"collapsed": false,
	"input": [
	"with plt.style.context('fivethirtyeight'):\n",
	" df.plot(x='a', y='b', kind='bar', legend=False)"
	],
	"language": "python",
	"metadata": {},
	"outputs": [
	{
	"metadata": {},
	"output_type": "display_data",
	"png": 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	"text": [
	"<matplotlib.figure.Figure at 0x1088324e0>"
	]
	}
	],
	"prompt_number": 14
	},
	{
	"cell_type": "code",
	"collapsed": false,
	"input": [],
	"language": "python",
	"metadata": {},
	"outputs": []
	}
	],
	"metadata": {}
	}
	]
	}