pandas_dataframe_importing_csv.ipynb

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  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Loading A CSV Into Pandas\n",
      "\n",
      "This snippit was written by [Chris R. Albon](http://www.chrisralbon.com/) and is part of his collection of [well-documented Python snippits](/~https://github.com/chrisalbon/code_py). All code is written in Python 3 in iPython notebook and offered under the [Creative Commons Attribution-ShareAlike 4.0 International License](http://creativecommons.org/licenses/by-sa/4.0/)."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### import modules"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import pandas as pd\n",
      "import numpy as np"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 16
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Create dataframe (that we will be importing)"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "raw_data = {'first_name': ['Jason', 'Molly', 'Tina', 'Jake', 'Amy'], \n",
      "        'last_name': ['Miller', 'Jacobson', \".\", 'Milner', 'Cooze'], \n",
      "        'age': [42, 52, 36, 24, 73], \n",
      "        'preTestScore': [4, 24, 31, \".\", \".\"],\n",
      "        'postTestScore': [\"25,000\", \"94,000\", 57, 62, 70]}\n",
      "df = pd.DataFrame(raw_data, columns = ['first_name', 'last_name', 'age', 'preTestScore', 'postTestScore'])\n",
      "df"
     ],
     "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>first_name</th>\n",
        "      <th>last_name</th>\n",
        "      <th>age</th>\n",
        "      <th>preTestScore</th>\n",
        "      <th>postTestScore</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td> Jason</td>\n",
        "      <td>   Miller</td>\n",
        "      <td> 42</td>\n",
        "      <td>  4</td>\n",
        "      <td> 25,000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td> Molly</td>\n",
        "      <td> Jacobson</td>\n",
        "      <td> 52</td>\n",
        "      <td> 24</td>\n",
        "      <td> 94,000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>  Tina</td>\n",
        "      <td>        .</td>\n",
        "      <td> 36</td>\n",
        "      <td> 31</td>\n",
        "      <td>     57</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>  Jake</td>\n",
        "      <td>   Milner</td>\n",
        "      <td> 24</td>\n",
        "      <td>  .</td>\n",
        "      <td>     62</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>   Amy</td>\n",
        "      <td>    Cooze</td>\n",
        "      <td> 73</td>\n",
        "      <td>  .</td>\n",
        "      <td>     70</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>5 rows \u00d7 5 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 45,
       "text": [
        "  first_name last_name  age preTestScore postTestScore\n",
        "0      Jason    Miller   42            4        25,000\n",
        "1      Molly  Jacobson   52           24        94,000\n",
        "2       Tina         .   36           31            57\n",
        "3       Jake    Milner   24            .            62\n",
        "4        Amy     Cooze   73            .            70\n",
        "\n",
        "[5 rows x 5 columns]"
       ]
      }
     ],
     "prompt_number": 45
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Save dataframe as csv in the working director"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df.to_csv('example.csv')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 46
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Load a csv"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df = pd.read_csv('example.csv')\n",
      "df"
     ],
     "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>Unnamed: 0</th>\n",
        "      <th>first_name</th>\n",
        "      <th>last_name</th>\n",
        "      <th>age</th>\n",
        "      <th>preTestScore</th>\n",
        "      <th>postTestScore</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td> 0</td>\n",
        "      <td> Jason</td>\n",
        "      <td>   Miller</td>\n",
        "      <td> 42</td>\n",
        "      <td>  4</td>\n",
        "      <td> 25,000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td> 1</td>\n",
        "      <td> Molly</td>\n",
        "      <td> Jacobson</td>\n",
        "      <td> 52</td>\n",
        "      <td> 24</td>\n",
        "      <td> 94,000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td> 2</td>\n",
        "      <td>  Tina</td>\n",
        "      <td>        .</td>\n",
        "      <td> 36</td>\n",
        "      <td> 31</td>\n",
        "      <td>     57</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td> 3</td>\n",
        "      <td>  Jake</td>\n",
        "      <td>   Milner</td>\n",
        "      <td> 24</td>\n",
        "      <td>  .</td>\n",
        "      <td>     62</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td> 4</td>\n",
        "      <td>   Amy</td>\n",
        "      <td>    Cooze</td>\n",
        "      <td> 73</td>\n",
        "      <td>  .</td>\n",
        "      <td>     70</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>5 rows \u00d7 6 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 47,
       "text": [
        "   Unnamed: 0 first_name last_name  age preTestScore postTestScore\n",
        "0           0      Jason    Miller   42            4        25,000\n",
        "1           1      Molly  Jacobson   52           24        94,000\n",
        "2           2       Tina         .   36           31            57\n",
        "3           3       Jake    Milner   24            .            62\n",
        "4           4        Amy     Cooze   73            .            70\n",
        "\n",
        "[5 rows x 6 columns]"
       ]
      }
     ],
     "prompt_number": 47
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Load a csv with no headers"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df = pd.read_csv('example.csv', header=None)\n",
      "df"
     ],
     "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>0</th>\n",
        "      <th>1</th>\n",
        "      <th>2</th>\n",
        "      <th>3</th>\n",
        "      <th>4</th>\n",
        "      <th>5</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>NaN</td>\n",
        "      <td> first_name</td>\n",
        "      <td> last_name</td>\n",
        "      <td> age</td>\n",
        "      <td> preTestScore</td>\n",
        "      <td> postTestScore</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>  0</td>\n",
        "      <td>      Jason</td>\n",
        "      <td>    Miller</td>\n",
        "      <td>  42</td>\n",
        "      <td>            4</td>\n",
        "      <td>        25,000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>  1</td>\n",
        "      <td>      Molly</td>\n",
        "      <td>  Jacobson</td>\n",
        "      <td>  52</td>\n",
        "      <td>           24</td>\n",
        "      <td>        94,000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>  2</td>\n",
        "      <td>       Tina</td>\n",
        "      <td>         .</td>\n",
        "      <td>  36</td>\n",
        "      <td>           31</td>\n",
        "      <td>            57</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>  3</td>\n",
        "      <td>       Jake</td>\n",
        "      <td>    Milner</td>\n",
        "      <td>  24</td>\n",
        "      <td>            .</td>\n",
        "      <td>            62</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
        "      <td>  4</td>\n",
        "      <td>        Amy</td>\n",
        "      <td>     Cooze</td>\n",
        "      <td>  73</td>\n",
        "      <td>            .</td>\n",
        "      <td>            70</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>6 rows \u00d7 6 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 48,
       "text": [
        "    0           1          2    3             4              5\n",
        "0 NaN  first_name  last_name  age  preTestScore  postTestScore\n",
        "1   0       Jason     Miller   42             4         25,000\n",
        "2   1       Molly   Jacobson   52            24         94,000\n",
        "3   2        Tina          .   36            31             57\n",
        "4   3        Jake     Milner   24             .             62\n",
        "5   4         Amy      Cooze   73             .             70\n",
        "\n",
        "[6 rows x 6 columns]"
       ]
      }
     ],
     "prompt_number": 48
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Load a csv while specifying column names"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df = pd.read_csv('example.csv', header=True, names=['UID', 'First Name', 'Last Name', 'Age', 'Pre-Test Score', 'Post-Test Score'])\n",
      "df\n",
      "\n"
     ],
     "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>UID</th>\n",
        "      <th>First Name</th>\n",
        "      <th>Last Name</th>\n",
        "      <th>Age</th>\n",
        "      <th>Pre-Test Score</th>\n",
        "      <th>Post-Test Score</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td> 1</td>\n",
        "      <td> Molly</td>\n",
        "      <td> Jacobson</td>\n",
        "      <td> 52</td>\n",
        "      <td> 24</td>\n",
        "      <td> 94,000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td> 2</td>\n",
        "      <td>  Tina</td>\n",
        "      <td>        .</td>\n",
        "      <td> 36</td>\n",
        "      <td> 31</td>\n",
        "      <td>     57</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td> 3</td>\n",
        "      <td>  Jake</td>\n",
        "      <td>   Milner</td>\n",
        "      <td> 24</td>\n",
        "      <td>  .</td>\n",
        "      <td>     62</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td> 4</td>\n",
        "      <td>   Amy</td>\n",
        "      <td>    Cooze</td>\n",
        "      <td> 73</td>\n",
        "      <td>  .</td>\n",
        "      <td>     70</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>4 rows \u00d7 6 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 49,
       "text": [
        "   UID First Name Last Name  Age Pre-Test Score Post-Test Score\n",
        "0    1      Molly  Jacobson   52             24          94,000\n",
        "1    2       Tina         .   36             31              57\n",
        "2    3       Jake    Milner   24              .              62\n",
        "3    4        Amy     Cooze   73              .              70\n",
        "\n",
        "[4 rows x 6 columns]"
       ]
      }
     ],
     "prompt_number": 49
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Load a csv with setting the index column to UID"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df = pd.read_csv('example.csv', index_col='UID', header=True, names=['UID', 'First Name', 'Last Name', 'Age', 'Pre-Test Score', 'Post-Test Score'])\n",
      "df"
     ],
     "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>First Name</th>\n",
        "      <th>Last Name</th>\n",
        "      <th>Age</th>\n",
        "      <th>Pre-Test Score</th>\n",
        "      <th>Post-Test Score</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>UID</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td> Molly</td>\n",
        "      <td> Jacobson</td>\n",
        "      <td> 52</td>\n",
        "      <td> 24</td>\n",
        "      <td> 94,000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>  Tina</td>\n",
        "      <td>        .</td>\n",
        "      <td> 36</td>\n",
        "      <td> 31</td>\n",
        "      <td>     57</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>  Jake</td>\n",
        "      <td>   Milner</td>\n",
        "      <td> 24</td>\n",
        "      <td>  .</td>\n",
        "      <td>     62</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>   Amy</td>\n",
        "      <td>    Cooze</td>\n",
        "      <td> 73</td>\n",
        "      <td>  .</td>\n",
        "      <td>     70</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>4 rows \u00d7 5 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 50,
       "text": [
        "    First Name Last Name  Age Pre-Test Score Post-Test Score\n",
        "UID                                                         \n",
        "1        Molly  Jacobson   52             24          94,000\n",
        "2         Tina         .   36             31              57\n",
        "3         Jake    Milner   24              .              62\n",
        "4          Amy     Cooze   73              .              70\n",
        "\n",
        "[4 rows x 5 columns]"
       ]
      }
     ],
     "prompt_number": 50
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Load a csv while setting the index columns to First Name and Last Name"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df = pd.read_csv('example.csv', index_col=['First Name', 'Last Name'], header=True, names=['UID', 'First Name', 'Last Name', 'Age', 'Pre-Test Score', 'Post-Test Score'])\n",
      "df"
     ],
     "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></th>\n",
        "      <th>UID</th>\n",
        "      <th>Age</th>\n",
        "      <th>Pre-Test Score</th>\n",
        "      <th>Post-Test Score</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>First Name</th>\n",
        "      <th>Last Name</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>Molly</th>\n",
        "      <th>Jacobson</th>\n",
        "      <td> 1</td>\n",
        "      <td> 52</td>\n",
        "      <td> 24</td>\n",
        "      <td> 94,000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Tina</th>\n",
        "      <th>.</th>\n",
        "      <td> 2</td>\n",
        "      <td> 36</td>\n",
        "      <td> 31</td>\n",
        "      <td>     57</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Jake</th>\n",
        "      <th>Milner</th>\n",
        "      <td> 3</td>\n",
        "      <td> 24</td>\n",
        "      <td>  .</td>\n",
        "      <td>     62</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Amy</th>\n",
        "      <th>Cooze</th>\n",
        "      <td> 4</td>\n",
        "      <td> 73</td>\n",
        "      <td>  .</td>\n",
        "      <td>     70</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>4 rows \u00d7 4 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 51,
       "text": [
        "                      UID  Age Pre-Test Score Post-Test Score\n",
        "First Name Last Name                                         \n",
        "Molly      Jacobson     1   52             24          94,000\n",
        "Tina       .            2   36             31              57\n",
        "Jake       Milner       3   24              .              62\n",
        "Amy        Cooze        4   73              .              70\n",
        "\n",
        "[4 rows x 4 columns]"
       ]
      }
     ],
     "prompt_number": 51
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Load a csv while specifying \".\" as missing values"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df = pd.read_csv('example.csv', na_values=['.'])\n",
      "pd.isnull(df)"
     ],
     "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>Unnamed: 0</th>\n",
        "      <th>first_name</th>\n",
        "      <th>last_name</th>\n",
        "      <th>age</th>\n",
        "      <th>preTestScore</th>\n",
        "      <th>postTestScore</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td>  True</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td>  True</td>\n",
        "      <td> False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td>  True</td>\n",
        "      <td> False</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>5 rows \u00d7 6 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 52,
       "text": [
        "  Unnamed: 0 first_name last_name    age preTestScore postTestScore\n",
        "0      False      False     False  False        False         False\n",
        "1      False      False     False  False        False         False\n",
        "2      False      False      True  False        False         False\n",
        "3      False      False     False  False         True         False\n",
        "4      False      False     False  False         True         False\n",
        "\n",
        "[5 rows x 6 columns]"
       ]
      }
     ],
     "prompt_number": 52
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Load a csv while specifying \".\" and \"NA\" as missing values in the Last Name column and \".\" as missing values in Pre-Test Score column"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "sentinels = {'Last Name': ['.', 'NA'], 'Pre-Test Score': ['.']}"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 53
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df = pd.read_csv('example.csv', na_values=sentinels)\n",
      "df"
     ],
     "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>Unnamed: 0</th>\n",
        "      <th>first_name</th>\n",
        "      <th>last_name</th>\n",
        "      <th>age</th>\n",
        "      <th>preTestScore</th>\n",
        "      <th>postTestScore</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td> 0</td>\n",
        "      <td> Jason</td>\n",
        "      <td>   Miller</td>\n",
        "      <td> 42</td>\n",
        "      <td>  4</td>\n",
        "      <td> 25,000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td> 1</td>\n",
        "      <td> Molly</td>\n",
        "      <td> Jacobson</td>\n",
        "      <td> 52</td>\n",
        "      <td> 24</td>\n",
        "      <td> 94,000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td> 2</td>\n",
        "      <td>  Tina</td>\n",
        "      <td>        .</td>\n",
        "      <td> 36</td>\n",
        "      <td> 31</td>\n",
        "      <td>     57</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td> 3</td>\n",
        "      <td>  Jake</td>\n",
        "      <td>   Milner</td>\n",
        "      <td> 24</td>\n",
        "      <td>  .</td>\n",
        "      <td>     62</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td> 4</td>\n",
        "      <td>   Amy</td>\n",
        "      <td>    Cooze</td>\n",
        "      <td> 73</td>\n",
        "      <td>  .</td>\n",
        "      <td>     70</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>5 rows \u00d7 6 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 54,
       "text": [
        "   Unnamed: 0 first_name last_name  age preTestScore postTestScore\n",
        "0           0      Jason    Miller   42            4        25,000\n",
        "1           1      Molly  Jacobson   52           24        94,000\n",
        "2           2       Tina         .   36           31            57\n",
        "3           3       Jake    Milner   24            .            62\n",
        "4           4        Amy     Cooze   73            .            70\n",
        "\n",
        "[5 rows x 6 columns]"
       ]
      }
     ],
     "prompt_number": 54
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Load a csv while skipping the top 3 rows"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df = pd.read_csv('example.csv', na_values=sentinels, skiprows=3)\n",
      "df"
     ],
     "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>2</th>\n",
        "      <th>Tina</th>\n",
        "      <th>.</th>\n",
        "      <th>36</th>\n",
        "      <th>31</th>\n",
        "      <th>57</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td> 3</td>\n",
        "      <td> Jake</td>\n",
        "      <td> Milner</td>\n",
        "      <td> 24</td>\n",
        "      <td> .</td>\n",
        "      <td> 62</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td> 4</td>\n",
        "      <td>  Amy</td>\n",
        "      <td>  Cooze</td>\n",
        "      <td> 73</td>\n",
        "      <td> .</td>\n",
        "      <td> 70</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>2 rows \u00d7 6 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 55,
       "text": [
        "   2  Tina       .  36 31  57\n",
        "0  3  Jake  Milner  24  .  62\n",
        "1  4   Amy   Cooze  73  .  70\n",
        "\n",
        "[2 rows x 6 columns]"
       ]
      }
     ],
     "prompt_number": 55
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Load a csv while skipping the bottom three rows"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df = pd.read_csv('example.csv', na_values=sentinels, skip_footer=3)\n",
      "df"
     ],
     "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>Unnamed: 0</th>\n",
        "      <th>first_name</th>\n",
        "      <th>last_name</th>\n",
        "      <th>age</th>\n",
        "      <th>preTestScore</th>\n",
        "      <th>postTestScore</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td> 0</td>\n",
        "      <td> Jason</td>\n",
        "      <td>   Miller</td>\n",
        "      <td> 42</td>\n",
        "      <td>  4</td>\n",
        "      <td> 25,000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td> 1</td>\n",
        "      <td> Molly</td>\n",
        "      <td> Jacobson</td>\n",
        "      <td> 52</td>\n",
        "      <td> 24</td>\n",
        "      <td> 94,000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>2 rows \u00d7 6 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 56,
       "text": [
        "   Unnamed: 0 first_name last_name  age  preTestScore postTestScore\n",
        "0           0      Jason    Miller   42             4        25,000\n",
        "1           1      Molly  Jacobson   52            24        94,000\n",
        "\n",
        "[2 rows x 6 columns]"
       ]
      }
     ],
     "prompt_number": 56
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Load a csv while interpreting \",\" in strings around numbers as thousands seperators"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df = pd.read_csv('example.csv', thousands=',')\n",
      "df"
     ],
     "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>Unnamed: 0</th>\n",
        "      <th>first_name</th>\n",
        "      <th>last_name</th>\n",
        "      <th>age</th>\n",
        "      <th>preTestScore</th>\n",
        "      <th>postTestScore</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td> 0</td>\n",
        "      <td> Jason</td>\n",
        "      <td>   Miller</td>\n",
        "      <td> 42</td>\n",
        "      <td>  4</td>\n",
        "      <td> 25000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td> 1</td>\n",
        "      <td> Molly</td>\n",
        "      <td> Jacobson</td>\n",
        "      <td> 52</td>\n",
        "      <td> 24</td>\n",
        "      <td> 94000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td> 2</td>\n",
        "      <td>  Tina</td>\n",
        "      <td>        .</td>\n",
        "      <td> 36</td>\n",
        "      <td> 31</td>\n",
        "      <td>    57</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td> 3</td>\n",
        "      <td>  Jake</td>\n",
        "      <td>   Milner</td>\n",
        "      <td> 24</td>\n",
        "      <td>  .</td>\n",
        "      <td>    62</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td> 4</td>\n",
        "      <td>   Amy</td>\n",
        "      <td>    Cooze</td>\n",
        "      <td> 73</td>\n",
        "      <td>  .</td>\n",
        "      <td>    70</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>5 rows \u00d7 6 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 57,
       "text": [
        "   Unnamed: 0 first_name last_name  age preTestScore  postTestScore\n",
        "0           0      Jason    Miller   42            4          25000\n",
        "1           1      Molly  Jacobson   52           24          94000\n",
        "2           2       Tina         .   36           31             57\n",
        "3           3       Jake    Milner   24            .             62\n",
        "4           4        Amy     Cooze   73            .             70\n",
        "\n",
        "[5 rows x 6 columns]"
       ]
      }
     ],
     "prompt_number": 57
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 56
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}