.ipynb_checkpoints/pandas_dataframe_count_values-checkpoint.ipynb

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   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Count Values In Pandas Dataframe"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "- **Author:** [Chris Albon](http://www.chrisalbon.com/), [@ChrisAlbon](https://twitter.com/chrisalbon)\n",
      "- **Date:** -\n",
      "- **Repo:** [Python 3 code snippets for data science](https://github.com/chrisalbon/code_py)\n",
      "- **Note:**"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "[Original description](http://www.math.uah.edu/stat/data/HorseKicks.html): \"The data above give the number of soilders in the Prussian cavalry killed by horse kicks, by corp membership and by year. The years are from 1875 to 1894, and there are 14 different cavalry corps: the first column corresponds to the guard corp and the other columns to corps 1 through 11, 14, and 15. The data are from Distributome project and are derived from the book by Andrews and Herzberg. The original source of the data is the classic book by von Bortkiewicz (references are given below). The data are famous because they seem to fit the Poisson model reasonably well.\""
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Import the pandas module"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import pandas as pd"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 31
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Create all the columns of the dataframe as series (called vectors in R)"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "year = pd.Series([1875, 1876, 1877, 1878, 1879, 1880, 1881, 1882, 1883, 1884, \n",
      "                  1885, 1886, 1887, 1888, 1889, 1890, 1891, 1892, 1893, 1894])\n",
      "guardCorps = pd.Series([0,2,2,1,0,0,1,1,0,3,0,2,1,0,0,1,0,1,0,1])\n",
      "corps1 = pd.Series([0,0,0,2,0,3,0,2,0,0,0,1,1,1,0,2,0,3,1,0])\n",
      "corps2 = pd.Series([0,0,0,2,0,2,0,0,1,1,0,0,2,1,1,0,0,2,0,0])\n",
      "corps3 = pd.Series([0,0,0,1,1,1,2,0,2,0,0,0,1,0,1,2,1,0,0,0])\n",
      "corps4 = pd.Series([0,1,0,1,1,1,1,0,0,0,0,1,0,0,0,0,1,1,0,0])\n",
      "corps5 = pd.Series([0,0,0,0,2,1,0,0,1,0,0,1,0,1,1,1,1,1,1,0])\n",
      "corps6 = pd.Series([0,0,1,0,2,0,0,1,2,0,1,1,3,1,1,1,0,3,0,0])\n",
      "corps7 = pd.Series([1,0,1,0,0,0,1,0,1,1,0,0,2,0,0,2,1,0,2,0])\n",
      "corps8 = pd.Series([1,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,1,1,0,1])\n",
      "corps9 = pd.Series([0,0,0,0,0,2,1,1,1,0,2,1,1,0,1,2,0,1,0,0])\n",
      "corps10 = pd.Series([0,0,1,1,0,1,0,2,0,2,0,0,0,0,2,1,3,0,1,1])\n",
      "corps11 = pd.Series([0,0,0,0,2,4,0,1,3,0,1,1,1,1,2,1,3,1,3,1])\n",
      "corps14 = pd.Series([ 1,1,2,1,1,3,0,4,0,1,0,3,2,1,0,2,1,1,0,0])\n",
      "corps15 = pd.Series([0,1,0,0,0,0,0,1,0,1,1,0,0,0,2,2,0,0,0,0])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 32
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Create a dictionary variable that assigns variable names"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "variables = dict(guardCorps = guardCorps, corps1 = corps1, \n",
      "                 corps2 = corps2, corps3 = corps3, corps4 = corps4, \n",
      "                 corps5 = corps5, corps6 = corps6, corps7 = corps7, \n",
      "                 corps8 = corps8, corps9 = corps9, corps10 = corps10, \n",
      "                 corps11 = corps11 , corps14 = corps14, corps15 = corps15)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 33
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Create a dataframe and set the order of the columns using the columns attribute"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "horsekick = pd.DataFrame(variables, columns = ['guardCorps', \n",
      "                                                    'corps1', 'corps2', \n",
      "                                                    'corps3', 'corps4', \n",
      "                                                    'corps5', 'corps6', \n",
      "                                                    'corps7', 'corps8', \n",
      "                                                    'corps9', 'corps10', \n",
      "                                                    'corps11', 'corps14', \n",
      "                                                    'corps15'])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 34
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Set the dataframe's index to be year"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "horsekick.index = [1875, 1876, 1877, 1878, 1879, 1880, 1881, 1882, 1883, 1884, \n",
      "                  1885, 1886, 1887, 1888, 1889, 1890, 1891, 1892, 1893, 1894]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 35
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### view the horekick dataframe"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "horsekick"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>guardCorps</th>\n",
        "      <th>corps1</th>\n",
        "      <th>corps2</th>\n",
        "      <th>corps3</th>\n",
        "      <th>corps4</th>\n",
        "      <th>corps5</th>\n",
        "      <th>corps6</th>\n",
        "      <th>corps7</th>\n",
        "      <th>corps8</th>\n",
        "      <th>corps9</th>\n",
        "      <th>corps10</th>\n",
        "      <th>corps11</th>\n",
        "      <th>corps14</th>\n",
        "      <th>corps15</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>1875</th>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1876</th>\n",
        "      <td> 2</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1877</th>\n",
        "      <td> 2</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1878</th>\n",
        "      <td> 1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1879</th>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1880</th>\n",
        "      <td> 0</td>\n",
        "      <td> 3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1</td>\n",
        "      <td> 4</td>\n",
        "      <td> 3</td>\n",
        "      <td> 0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1881</th>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1882</th>\n",
        "      <td> 1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1883</th>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 3</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1884</th>\n",
        "      <td> 3</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1885</th>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1886</th>\n",
        "      <td> 2</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 3</td>\n",
        "      <td> 0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1887</th>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1888</th>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1889</th>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 0</td>\n",
        "      <td> 2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1890</th>\n",
        "      <td> 1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1891</th>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 3</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1892</th>\n",
        "      <td> 1</td>\n",
        "      <td> 3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 3</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1893</th>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 2</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 3</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1894</th>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>20 rows \u00d7 14 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 36,
       "text": [
        "      guardCorps  corps1  corps2  corps3  corps4  corps5  corps6  corps7  \\\n",
        "1875           0       0       0       0       0       0       0       1   \n",
        "1876           2       0       0       0       1       0       0       0   \n",
        "1877           2       0       0       0       0       0       1       1   \n",
        "1878           1       2       2       1       1       0       0       0   \n",
        "1879           0       0       0       1       1       2       2       0   \n",
        "1880           0       3       2       1       1       1       0       0   \n",
        "1881           1       0       0       2       1       0       0       1   \n",
        "1882           1       2       0       0       0       0       1       0   \n",
        "1883           0       0       1       2       0       1       2       1   \n",
        "1884           3       0       1       0       0       0       0       1   \n",
        "1885           0       0       0       0       0       0       1       0   \n",
        "1886           2       1       0       0       1       1       1       0   \n",
        "1887           1       1       2       1       0       0       3       2   \n",
        "1888           0       1       1       0       0       1       1       0   \n",
        "1889           0       0       1       1       0       1       1       0   \n",
        "1890           1       2       0       2       0       1       1       2   \n",
        "1891           0       0       0       1       1       1       0       1   \n",
        "1892           1       3       2       0       1       1       3       0   \n",
        "1893           0       1       0       0       0       1       0       2   \n",
        "1894           1       0       0       0       0       0       0       0   \n",
        "\n",
        "      corps8  corps9  corps10  corps11  corps14  corps15  \n",
        "1875       1       0        0        0        1        0  \n",
        "1876       0       0        0        0        1        1  \n",
        "1877       0       0        1        0        2        0  \n",
        "1878       0       0        1        0        1        0  \n",
        "1879       1       0        0        2        1        0  \n",
        "1880       0       2        1        4        3        0  \n",
        "1881       0       1        0        0        0        0  \n",
        "1882       1       1        2        1        4        1  \n",
        "1883       0       1        0        3        0        0  \n",
        "1884       0       0        2        0        1        1  \n",
        "1885       0       2        0        1        0        1  \n",
        "1886       0       1        0        1        3        0  \n",
        "1887       1       1        0        1        2        0  \n",
        "1888       0       0        0        1        1        0  \n",
        "1889       0       1        2        2        0        2  \n",
        "1890       0       2        1        1        2        2  \n",
        "1891       1       0        3        3        1        0  \n",
        "1892       1       1        0        1        1        0  \n",
        "1893       0       0        1        3        0        0  \n",
        "1894       1       0        1        1        0        0  \n",
        "\n",
        "[20 rows x 14 columns]"
       ]
      }
     ],
     "prompt_number": 36
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Count the number of times each number of deaths occurs in each regiment"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "result = horsekick.apply(pd.value_counts).fillna(0); result"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>guardCorps</th>\n",
        "      <th>corps1</th>\n",
        "      <th>corps2</th>\n",
        "      <th>corps3</th>\n",
        "      <th>corps4</th>\n",
        "      <th>corps5</th>\n",
        "      <th>corps6</th>\n",
        "      <th>corps7</th>\n",
        "      <th>corps8</th>\n",
        "      <th>corps9</th>\n",
        "      <th>corps10</th>\n",
        "      <th>corps11</th>\n",
        "      <th>corps14</th>\n",
        "      <th>corps15</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td> 9</td>\n",
        "      <td> 11</td>\n",
        "      <td> 12</td>\n",
        "      <td> 11</td>\n",
        "      <td> 12</td>\n",
        "      <td> 10</td>\n",
        "      <td> 9</td>\n",
        "      <td> 11</td>\n",
        "      <td> 13</td>\n",
        "      <td> 10</td>\n",
        "      <td> 10</td>\n",
        "      <td> 6</td>\n",
        "      <td> 6</td>\n",
        "      <td> 14</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td> 7</td>\n",
        "      <td>  4</td>\n",
        "      <td>  4</td>\n",
        "      <td>  6</td>\n",
        "      <td>  8</td>\n",
        "      <td>  9</td>\n",
        "      <td> 7</td>\n",
        "      <td>  6</td>\n",
        "      <td>  7</td>\n",
        "      <td>  7</td>\n",
        "      <td>  6</td>\n",
        "      <td> 8</td>\n",
        "      <td> 8</td>\n",
        "      <td>  4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td> 3</td>\n",
        "      <td>  3</td>\n",
        "      <td>  4</td>\n",
        "      <td>  3</td>\n",
        "      <td>  0</td>\n",
        "      <td>  1</td>\n",
        "      <td> 2</td>\n",
        "      <td>  3</td>\n",
        "      <td>  0</td>\n",
        "      <td>  3</td>\n",
        "      <td>  3</td>\n",
        "      <td> 2</td>\n",
        "      <td> 3</td>\n",
        "      <td>  2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td> 1</td>\n",
        "      <td>  2</td>\n",
        "      <td>  0</td>\n",
        "      <td>  0</td>\n",
        "      <td>  0</td>\n",
        "      <td>  0</td>\n",
        "      <td> 2</td>\n",
        "      <td>  0</td>\n",
        "      <td>  0</td>\n",
        "      <td>  0</td>\n",
        "      <td>  1</td>\n",
        "      <td> 3</td>\n",
        "      <td> 2</td>\n",
        "      <td>  0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td> 0</td>\n",
        "      <td>  0</td>\n",
        "      <td>  0</td>\n",
        "      <td>  0</td>\n",
        "      <td>  0</td>\n",
        "      <td>  0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  0</td>\n",
        "      <td>  0</td>\n",
        "      <td>  0</td>\n",
        "      <td>  0</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td>  0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>5 rows \u00d7 14 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 41,
       "text": [
        "   guardCorps  corps1  corps2  corps3  corps4  corps5  corps6  corps7  corps8  \\\n",
        "0           9      11      12      11      12      10       9      11      13   \n",
        "1           7       4       4       6       8       9       7       6       7   \n",
        "2           3       3       4       3       0       1       2       3       0   \n",
        "3           1       2       0       0       0       0       2       0       0   \n",
        "4           0       0       0       0       0       0       0       0       0   \n",
        "\n",
        "   corps9  corps10  corps11  corps14  corps15  \n",
        "0      10       10        6        6       14  \n",
        "1       7        6        8        8        4  \n",
        "2       3        3        2        3        2  \n",
        "3       0        1        3        2        0  \n",
        "4       0        0        1        1        0  \n",
        "\n",
        "[5 rows x 14 columns]"
       ]
      }
     ],
     "prompt_number": 41
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Count the number of times each monthly death total appears in guardCorps"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "pd.value_counts(horsekick['guardCorps'].values, sort=False)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 47,
       "text": [
        "0    9\n",
        "1    7\n",
        "2    3\n",
        "3    1\n",
        "dtype: int64"
       ]
      }
     ],
     "prompt_number": 47
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### List all the unique values in guardCorps"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "horsekick['guardCorps'].unique()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 50,
       "text": [
        "array([0, 2, 1, 3])"
       ]
      }
     ],
     "prompt_number": 50
    }
   ],
   "metadata": {}
  }
 ]
}