talk_2017_08_RMACC_GotPandas/nb/3_dataframe_operations.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** NAVIGATION **\n",
    "\n",
    "**Got Pandas? _Practical Data Wrangling with Pandas_**\n",
    "\n",
    "* [Introduction](./0_introduction.ipynb)\n",
    "1. [Data Structures](./1_data_structures.ipynb)\n",
    "2. [Importing Data](./2_importing_data.ipynb)\n",
    "3. **Manipulating DataFrames**\n",
    "4. [Wrap Up](./4_wrapping_up.ipynb)\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "toc": "true"
   },
   "source": [
    "# Table of Contents\n",
    " <p><div class=\"lev1 toc-item\"><a href=\"#Manipulating-DataFrames\" data-toc-modified-id=\"Manipulating-DataFrames-1\"><span class=\"toc-item-num\">1&nbsp;&nbsp;</span>Manipulating DataFrames</a></div><div class=\"lev2 toc-item\"><a href=\"#More-Selecting\" data-toc-modified-id=\"More-Selecting-11\"><span class=\"toc-item-num\">1.1&nbsp;&nbsp;</span>More Selecting</a></div><div class=\"lev3 toc-item\"><a href=\"#The-convenient--[]-operator-(again)\" data-toc-modified-id=\"The-convenient--[]-operator-(again)-111\"><span class=\"toc-item-num\">1.1.1&nbsp;&nbsp;</span>The convenient  <code>[]</code> operator (<em>again</em>)</a></div><div class=\"lev3 toc-item\"><a href=\"#Selecting-data-by--.-selector-on-column-and-index-name\" data-toc-modified-id=\"Selecting-data-by--.-selector-on-column-and-index-name-112\"><span class=\"toc-item-num\">1.1.2&nbsp;&nbsp;</span>Selecting data by  <code>.</code> selector on column and index name</a></div><div class=\"lev3 toc-item\"><a href=\"#Boolean-selecting\" data-toc-modified-id=\"Boolean-selecting-113\"><span class=\"toc-item-num\">1.1.3&nbsp;&nbsp;</span>Boolean selecting</a></div><div class=\"lev2 toc-item\"><a href=\"#Sorting\" data-toc-modified-id=\"Sorting-12\"><span class=\"toc-item-num\">1.2&nbsp;&nbsp;</span>Sorting</a></div><div class=\"lev2 toc-item\"><a href=\"#DataFrame-manipulation\" data-toc-modified-id=\"DataFrame-manipulation-13\"><span class=\"toc-item-num\">1.3&nbsp;&nbsp;</span>DataFrame manipulation</a></div><div class=\"lev3 toc-item\"><a href=\"#Adding-and-dropping-columns\" data-toc-modified-id=\"Adding-and-dropping-columns-131\"><span class=\"toc-item-num\">1.3.1&nbsp;&nbsp;</span>Adding and dropping columns</a></div><div class=\"lev3 toc-item\"><a href=\"#Adding-and-dropping-rows\" data-toc-modified-id=\"Adding-and-dropping-rows-132\"><span class=\"toc-item-num\">1.3.2&nbsp;&nbsp;</span>Adding and dropping rows</a></div><div class=\"lev2 toc-item\"><a href=\"#Advanced-indexing\" data-toc-modified-id=\"Advanced-indexing-14\"><span class=\"toc-item-num\">1.4&nbsp;&nbsp;</span>Advanced indexing</a></div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Manipulating DataFrames"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will review our terminology for a quick moment:\n",
    "* **index** : the column and row indices of your Series or DataFrame, the index for each of these may be hiearchical\n",
    "    * row index : the index along the horizontal dimension, and typically used as the primary index\n",
    "    * column index : the index along the vertical dimension\n",
    "    \n",
    "    \n",
    "* **axis**  : the numeric designation for the _column_ or _row_ indices; typically `0` is the _column-axis_ and `1` is the _row-axis_.  When dealing with multi-indices, the hierarchy within the axis are referred to as _levels_ and accessed similarly \n",
    "    \n",
    "    \n",
    "**NOTEBOOK OBJECTIVES**\n",
    "\n",
    "In this notebook we'll:\n",
    "\n",
    "* explore more complex slicing and selecting, \n",
    "* look at DataFrame concatenation and appending,\n",
    "* explore Multi-Indices / hierarchical indexing in Pandas."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## More Selecting\n",
    "In the example for this section, we're going to go back to our Baseball data set and load the batting statistics into a DataFrame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# get the data for players in 2015-16 who played in 100 or more games\n",
    "df = pd.read_csv(\"./datasets/Batting.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The convenient  `[]` operator (_again_)\n",
    "\n",
    "As before basic slice selections can be made with the syntax similar to that found in lists using the convenience of the `[]` operator. For example, obtaining the first 5 rows of our data, or the last 15."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>playerID</th>\n",
       "      <th>yearID</th>\n",
       "      <th>stint</th>\n",
       "      <th>teamID</th>\n",
       "      <th>lgID</th>\n",
       "      <th>G</th>\n",
       "      <th>AB</th>\n",
       "      <th>R</th>\n",
       "      <th>H</th>\n",
       "      <th>2B</th>\n",
       "      <th>...</th>\n",
       "      <th>RBI</th>\n",
       "      <th>SB</th>\n",
       "      <th>CS</th>\n",
       "      <th>BB</th>\n",
       "      <th>SO</th>\n",
       "      <th>IBB</th>\n",
       "      <th>HBP</th>\n",
       "      <th>SH</th>\n",
       "      <th>SF</th>\n",
       "      <th>GIDP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>abercda01</td>\n",
       "      <td>1871</td>\n",
       "      <td>1</td>\n",
       "      <td>TRO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>addybo01</td>\n",
       "      <td>1871</td>\n",
       "      <td>1</td>\n",
       "      <td>RC1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25</td>\n",
       "      <td>118</td>\n",
       "      <td>30</td>\n",
       "      <td>32</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>13.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>allisar01</td>\n",
       "      <td>1871</td>\n",
       "      <td>1</td>\n",
       "      <td>CL1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29</td>\n",
       "      <td>137</td>\n",
       "      <td>28</td>\n",
       "      <td>40</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>19.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>allisdo01</td>\n",
       "      <td>1871</td>\n",
       "      <td>1</td>\n",
       "      <td>WS3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27</td>\n",
       "      <td>133</td>\n",
       "      <td>28</td>\n",
       "      <td>44</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>27.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ansonca01</td>\n",
       "      <td>1871</td>\n",
       "      <td>1</td>\n",
       "      <td>RC1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25</td>\n",
       "      <td>120</td>\n",
       "      <td>29</td>\n",
       "      <td>39</td>\n",
       "      <td>11</td>\n",
       "      <td>...</td>\n",
       "      <td>16.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    playerID  yearID  stint teamID lgID   G   AB   R   H  2B  ...    RBI   SB  \\\n",
       "0  abercda01    1871      1    TRO  NaN   1    4   0   0   0  ...    0.0  0.0   \n",
       "1   addybo01    1871      1    RC1  NaN  25  118  30  32   6  ...   13.0  8.0   \n",
       "2  allisar01    1871      1    CL1  NaN  29  137  28  40   4  ...   19.0  3.0   \n",
       "3  allisdo01    1871      1    WS3  NaN  27  133  28  44  10  ...   27.0  1.0   \n",
       "4  ansonca01    1871      1    RC1  NaN  25  120  29  39  11  ...   16.0  6.0   \n",
       "\n",
       "    CS  BB   SO  IBB  HBP  SH  SF  GIDP  \n",
       "0  0.0   0  0.0  NaN  NaN NaN NaN   NaN  \n",
       "1  1.0   4  0.0  NaN  NaN NaN NaN   NaN  \n",
       "2  1.0   2  5.0  NaN  NaN NaN NaN   NaN  \n",
       "3  1.0   0  2.0  NaN  NaN NaN NaN   NaN  \n",
       "4  2.0   2  1.0  NaN  NaN NaN NaN   NaN  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>playerID</th>\n",
       "      <th>yearID</th>\n",
       "      <th>stint</th>\n",
       "      <th>teamID</th>\n",
       "      <th>lgID</th>\n",
       "      <th>G</th>\n",
       "      <th>AB</th>\n",
       "      <th>R</th>\n",
       "      <th>H</th>\n",
       "      <th>2B</th>\n",
       "      <th>...</th>\n",
       "      <th>RBI</th>\n",
       "      <th>SB</th>\n",
       "      <th>CS</th>\n",
       "      <th>BB</th>\n",
       "      <th>SO</th>\n",
       "      <th>IBB</th>\n",
       "      <th>HBP</th>\n",
       "      <th>SH</th>\n",
       "      <th>SF</th>\n",
       "      <th>GIDP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>102801</th>\n",
       "      <td>ynoaga01</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>NYN</td>\n",
       "      <td>NL</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102802</th>\n",
       "      <td>ynoami01</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>CHA</td>\n",
       "      <td>AL</td>\n",
       "      <td>23</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102803</th>\n",
       "      <td>ynoara01</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>COL</td>\n",
       "      <td>NL</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102804</th>\n",
       "      <td>youngch03</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>KCA</td>\n",
       "      <td>AL</td>\n",
       "      <td>34</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102805</th>\n",
       "      <td>youngch04</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>BOS</td>\n",
       "      <td>AL</td>\n",
       "      <td>76</td>\n",
       "      <td>203</td>\n",
       "      <td>29</td>\n",
       "      <td>56</td>\n",
       "      <td>18</td>\n",
       "      <td>...</td>\n",
       "      <td>24.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>21</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102806</th>\n",
       "      <td>younger03</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>NYA</td>\n",
       "      <td>AL</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102807</th>\n",
       "      <td>youngma03</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>ATL</td>\n",
       "      <td>NL</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102808</th>\n",
       "      <td>zastrro01</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>CHN</td>\n",
       "      <td>NL</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102809</th>\n",
       "      <td>zieglbr01</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>ARI</td>\n",
       "      <td>NL</td>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102810</th>\n",
       "      <td>zieglbr01</td>\n",
       "      <td>2016</td>\n",
       "      <td>2</td>\n",
       "      <td>BOS</td>\n",
       "      <td>AL</td>\n",
       "      <td>33</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102811</th>\n",
       "      <td>zimmejo02</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>DET</td>\n",
       "      <td>AL</td>\n",
       "      <td>19</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102812</th>\n",
       "      <td>zimmery01</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>WAS</td>\n",
       "      <td>NL</td>\n",
       "      <td>115</td>\n",
       "      <td>427</td>\n",
       "      <td>60</td>\n",
       "      <td>93</td>\n",
       "      <td>18</td>\n",
       "      <td>...</td>\n",
       "      <td>46.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>29</td>\n",
       "      <td>104.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102813</th>\n",
       "      <td>zobribe01</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>CHN</td>\n",
       "      <td>NL</td>\n",
       "      <td>147</td>\n",
       "      <td>523</td>\n",
       "      <td>94</td>\n",
       "      <td>142</td>\n",
       "      <td>31</td>\n",
       "      <td>...</td>\n",
       "      <td>76.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>96</td>\n",
       "      <td>82.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102814</th>\n",
       "      <td>zuninmi01</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>SEA</td>\n",
       "      <td>AL</td>\n",
       "      <td>55</td>\n",
       "      <td>164</td>\n",
       "      <td>16</td>\n",
       "      <td>34</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>31.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21</td>\n",
       "      <td>65.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102815</th>\n",
       "      <td>zychto01</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>SEA</td>\n",
       "      <td>AL</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>15 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         playerID  yearID  stint teamID lgID    G   AB   R    H  2B  ...   \\\n",
       "102801   ynoaga01    2016      1    NYN   NL   10    3   0    0   0  ...    \n",
       "102802   ynoami01    2016      1    CHA   AL   23    0   0    0   0  ...    \n",
       "102803   ynoara01    2016      1    COL   NL    3    5   0    0   0  ...    \n",
       "102804  youngch03    2016      1    KCA   AL   34    1   0    0   0  ...    \n",
       "102805  youngch04    2016      1    BOS   AL   76  203  29   56  18  ...    \n",
       "102806  younger03    2016      1    NYA   AL    6    1   2    0   0  ...    \n",
       "102807  youngma03    2016      1    ATL   NL    8    0   0    0   0  ...    \n",
       "102808  zastrro01    2016      1    CHN   NL    8    3   0    0   0  ...    \n",
       "102809  zieglbr01    2016      1    ARI   NL   36    0   0    0   0  ...    \n",
       "102810  zieglbr01    2016      2    BOS   AL   33    0   0    0   0  ...    \n",
       "102811  zimmejo02    2016      1    DET   AL   19    4   0    1   0  ...    \n",
       "102812  zimmery01    2016      1    WAS   NL  115  427  60   93  18  ...    \n",
       "102813  zobribe01    2016      1    CHN   NL  147  523  94  142  31  ...    \n",
       "102814  zuninmi01    2016      1    SEA   AL   55  164  16   34   7  ...    \n",
       "102815   zychto01    2016      1    SEA   AL   12    0   0    0   0  ...    \n",
       "\n",
       "         RBI   SB   CS  BB     SO  IBB  HBP   SH   SF  GIDP  \n",
       "102801   0.0  0.0  0.0   0    0.0  0.0  0.0  0.0  0.0   0.0  \n",
       "102802   0.0  0.0  0.0   0    0.0  0.0  0.0  0.0  0.0   0.0  \n",
       "102803   0.0  0.0  0.0   0    2.0  0.0  0.0  0.0  0.0   0.0  \n",
       "102804   0.0  0.0  0.0   0    0.0  0.0  0.0  0.0  0.0   0.0  \n",
       "102805  24.0  4.0  2.0  21   50.0  0.0  3.0  0.0  0.0   4.0  \n",
       "102806   0.0  1.0  0.0   0    0.0  0.0  0.0  0.0  0.0   0.0  \n",
       "102807   0.0  0.0  0.0   0    0.0  0.0  0.0  0.0  0.0   0.0  \n",
       "102808   0.0  0.0  0.0   0    2.0  0.0  0.0  0.0  0.0   0.0  \n",
       "102809   0.0  0.0  0.0   0    0.0  0.0  0.0  0.0  0.0   0.0  \n",
       "102810   0.0  0.0  0.0   0    0.0  0.0  0.0  0.0  0.0   0.0  \n",
       "102811   0.0  0.0  0.0   0    2.0  0.0  0.0  1.0  0.0   0.0  \n",
       "102812  46.0  4.0  1.0  29  104.0  1.0  5.0  0.0  6.0  12.0  \n",
       "102813  76.0  6.0  4.0  96   82.0  6.0  4.0  4.0  4.0  17.0  \n",
       "102814  31.0  0.0  0.0  21   65.0  0.0  6.0  0.0  1.0   0.0  \n",
       "102815   0.0  0.0  0.0   0    0.0  0.0  0.0  0.0  0.0   0.0  \n",
       "\n",
       "[15 rows x 22 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[-15:]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We mostly worked on _row slicing_ with the `[]` selector, but if we pass a _column label_ or **list** of the columns we'd like, say the `RBI` and `G` (games played) data, we get mostly what we'd expect:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df[\"RBI\"][:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df[[\"RBI\", \"G\"]][:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Selecting data by  `.` selector on column and index name\n",
    "\n",
    "We can obtain _column_ data by column labels (note that the column index was loaded for us when we read the file into the DataFrame). For example to get all the `RBI` data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     0.0\n",
       "1    13.0\n",
       "2    19.0\n",
       "3    27.0\n",
       "4    16.0\n",
       "5     5.0\n",
       "6     2.0\n",
       "7    34.0\n",
       "8     1.0\n",
       "9    11.0\n",
       "Name: RBI, dtype: float64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.RBI[:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Similarly, we can pass a **list** of the columns we'd like, so let's get the `RBI` and `G` (games played) data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>RBI</th>\n",
       "      <th>G</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>13.0</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>19.0</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>27.0</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>16.0</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>34.0</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>11.0</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    RBI   G\n",
       "0   0.0   1\n",
       "1  13.0  25\n",
       "2  19.0  29\n",
       "3  27.0  27\n",
       "4  16.0  25\n",
       "5   5.0  12\n",
       "6   2.0   1\n",
       "7  34.0  31\n",
       "8   1.0   1\n",
       "9  11.0  18"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[[\"RBI\", \"G\"]][:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Boolean selecting\n",
    "We have yet to make more complex selections beyond index values.  Now we're ready to introduce selecting by boolean value.  With this kinds of selection, we're going to as Pandas to give us the Series or DataFrame that represents the _boolean_  values of what we want, then we will allow `iloc` to reduce the resulting Series or DataFrame to what we're looking for.  Let's see this in action.\n",
    "\n",
    "Say we want to find all items in our DataFrame where `yearID` is `2015` or\n",
    "\n",
    "```\n",
    "df.yearID == 2015\n",
    "```\n",
    "\n",
    "Let's first see what this does."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0         False\n",
       "1         False\n",
       "2         False\n",
       "3         False\n",
       "4         False\n",
       "5         False\n",
       "6         False\n",
       "7         False\n",
       "8         False\n",
       "9         False\n",
       "10        False\n",
       "11        False\n",
       "12        False\n",
       "13        False\n",
       "14        False\n",
       "15        False\n",
       "16        False\n",
       "17        False\n",
       "18        False\n",
       "19        False\n",
       "20        False\n",
       "21        False\n",
       "22        False\n",
       "23        False\n",
       "24        False\n",
       "25        False\n",
       "26        False\n",
       "27        False\n",
       "28        False\n",
       "29        False\n",
       "          ...  \n",
       "102786    False\n",
       "102787    False\n",
       "102788    False\n",
       "102789    False\n",
       "102790    False\n",
       "102791    False\n",
       "102792    False\n",
       "102793    False\n",
       "102794    False\n",
       "102795    False\n",
       "102796    False\n",
       "102797    False\n",
       "102798    False\n",
       "102799    False\n",
       "102800    False\n",
       "102801    False\n",
       "102802    False\n",
       "102803    False\n",
       "102804    False\n",
       "102805    False\n",
       "102806    False\n",
       "102807    False\n",
       "102808    False\n",
       "102809    False\n",
       "102810    False\n",
       "102811    False\n",
       "102812    False\n",
       "102813    False\n",
       "102814    False\n",
       "102815    False\n",
       "Name: yearID, Length: 102816, dtype: bool"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.yearID == 2015"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We're returned the Series that contains a `True` or `False` given our _boolean_ query.  We need now pass this _boolean_ Series into `loc` and we will see the outcome."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>playerID</th>\n",
       "      <th>yearID</th>\n",
       "      <th>stint</th>\n",
       "      <th>teamID</th>\n",
       "      <th>lgID</th>\n",
       "      <th>G</th>\n",
       "      <th>AB</th>\n",
       "      <th>R</th>\n",
       "      <th>H</th>\n",
       "      <th>2B</th>\n",
       "      <th>...</th>\n",
       "      <th>RBI</th>\n",
       "      <th>SB</th>\n",
       "      <th>CS</th>\n",
       "      <th>BB</th>\n",
       "      <th>SO</th>\n",
       "      <th>IBB</th>\n",
       "      <th>HBP</th>\n",
       "      <th>SH</th>\n",
       "      <th>SF</th>\n",
       "      <th>GIDP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>99847</th>\n",
       "      <td>aardsda01</td>\n",
       "      <td>2015</td>\n",
       "      <td>1</td>\n",
       "      <td>ATL</td>\n",
       "      <td>NL</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99848</th>\n",
       "      <td>abadfe01</td>\n",
       "      <td>2015</td>\n",
       "      <td>1</td>\n",
       "      <td>OAK</td>\n",
       "      <td>AL</td>\n",
       "      <td>62</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99849</th>\n",
       "      <td>abreujo02</td>\n",
       "      <td>2015</td>\n",
       "      <td>1</td>\n",
       "      <td>CHA</td>\n",
       "      <td>AL</td>\n",
       "      <td>154</td>\n",
       "      <td>613</td>\n",
       "      <td>88</td>\n",
       "      <td>178</td>\n",
       "      <td>34</td>\n",
       "      <td>...</td>\n",
       "      <td>101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>39</td>\n",
       "      <td>140.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99850</th>\n",
       "      <td>achteaj01</td>\n",
       "      <td>2015</td>\n",
       "      <td>1</td>\n",
       "      <td>MIN</td>\n",
       "      <td>AL</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99851</th>\n",
       "      <td>ackledu01</td>\n",
       "      <td>2015</td>\n",
       "      <td>1</td>\n",
       "      <td>SEA</td>\n",
       "      <td>AL</td>\n",
       "      <td>85</td>\n",
       "      <td>186</td>\n",
       "      <td>22</td>\n",
       "      <td>40</td>\n",
       "      <td>8</td>\n",
       "      <td>...</td>\n",
       "      <td>19.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>14</td>\n",
       "      <td>38.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99852</th>\n",
       "      <td>ackledu01</td>\n",
       "      <td>2015</td>\n",
       "      <td>2</td>\n",
       "      <td>NYA</td>\n",
       "      <td>AL</td>\n",
       "      <td>23</td>\n",
       "      <td>52</td>\n",
       "      <td>6</td>\n",
       "      <td>15</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99853</th>\n",
       "      <td>adamecr01</td>\n",
       "      <td>2015</td>\n",
       "      <td>1</td>\n",
       "      <td>COL</td>\n",
       "      <td>NL</td>\n",
       "      <td>26</td>\n",
       "      <td>53</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99854</th>\n",
       "      <td>adamsau01</td>\n",
       "      <td>2015</td>\n",
       "      <td>1</td>\n",
       "      <td>CLE</td>\n",
       "      <td>AL</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99855</th>\n",
       "      <td>adamsma01</td>\n",
       "      <td>2015</td>\n",
       "      <td>1</td>\n",
       "      <td>SLN</td>\n",
       "      <td>NL</td>\n",
       "      <td>60</td>\n",
       "      <td>175</td>\n",
       "      <td>14</td>\n",
       "      <td>42</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>24.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10</td>\n",
       "      <td>41.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99856</th>\n",
       "      <td>adcocna01</td>\n",
       "      <td>2015</td>\n",
       "      <td>1</td>\n",
       "      <td>CIN</td>\n",
       "      <td>NL</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        playerID  yearID  stint teamID lgID    G   AB   R    H  2B  ...   \\\n",
       "99847  aardsda01    2015      1    ATL   NL   33    1   0    0   0  ...    \n",
       "99848   abadfe01    2015      1    OAK   AL   62    0   0    0   0  ...    \n",
       "99849  abreujo02    2015      1    CHA   AL  154  613  88  178  34  ...    \n",
       "99850  achteaj01    2015      1    MIN   AL   11    0   0    0   0  ...    \n",
       "99851  ackledu01    2015      1    SEA   AL   85  186  22   40   8  ...    \n",
       "99852  ackledu01    2015      2    NYA   AL   23   52   6   15   3  ...    \n",
       "99853  adamecr01    2015      1    COL   NL   26   53   4   13   1  ...    \n",
       "99854  adamsau01    2015      1    CLE   AL   28    1   0    0   0  ...    \n",
       "99855  adamsma01    2015      1    SLN   NL   60  175  14   42   9  ...    \n",
       "99856  adcocna01    2015      1    CIN   NL   13    0   0    0   0  ...    \n",
       "\n",
       "         RBI   SB   CS  BB     SO   IBB   HBP   SH   SF  GIDP  \n",
       "99847    0.0  0.0  0.0   0    1.0   0.0   0.0  0.0  0.0   0.0  \n",
       "99848    0.0  0.0  0.0   0    0.0   0.0   0.0  0.0  0.0   0.0  \n",
       "99849  101.0  0.0  0.0  39  140.0  11.0  15.0  0.0  1.0  16.0  \n",
       "99850    0.0  0.0  0.0   0    0.0   0.0   0.0  0.0  0.0   0.0  \n",
       "99851   19.0  2.0  2.0  14   38.0   0.0   1.0  3.0  3.0   3.0  \n",
       "99852   11.0  0.0  0.0   4    7.0   0.0   0.0  0.0  1.0   0.0  \n",
       "99853    3.0  0.0  1.0   3   11.0   1.0   1.0  1.0  0.0   0.0  \n",
       "99854    0.0  0.0  0.0   0    0.0   0.0   0.0  0.0  0.0   1.0  \n",
       "99855   24.0  1.0  0.0  10   41.0   1.0   0.0  0.0  1.0   1.0  \n",
       "99856    0.0  0.0  0.0   0    0.0   0.0   0.0  0.0  0.0   0.0  \n",
       "\n",
       "[10 rows x 22 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[df.yearID == 2015][:10] # note we're restricting the return to just the first 10 values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now what if we wanted the restrict this further by team.  Say we wanted to see only the [Minesota Twins](https://www.mlb.com/twins) player data for 2015.  That is\n",
    "\n",
    "```\n",
    "df.yearID == 2015\n",
    "AND\n",
    "df.teamID == \"MIN\"\n",
    "```\n",
    "\n",
    "We simply put these in parethesis and use the `&` operator."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>playerID</th>\n",
       "      <th>yearID</th>\n",
       "      <th>stint</th>\n",
       "      <th>teamID</th>\n",
       "      <th>lgID</th>\n",
       "      <th>G</th>\n",
       "      <th>AB</th>\n",
       "      <th>R</th>\n",
       "      <th>H</th>\n",
       "      <th>2B</th>\n",
       "      <th>...</th>\n",
       "      <th>RBI</th>\n",
       "      <th>SB</th>\n",
       "      <th>CS</th>\n",
       "      <th>BB</th>\n",
       "      <th>SO</th>\n",
       "      <th>IBB</th>\n",
       "      <th>HBP</th>\n",
       "      <th>SH</th>\n",
       "      <th>SF</th>\n",
       "      <th>GIDP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>99850</th>\n",
       "      <td>achteaj01</td>\n",
       "      <td>2015</td>\n",
       "      <td>1</td>\n",
       "      <td>MIN</td>\n",
       "      <td>AL</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99891</th>\n",
       "      <td>arciaos01</td>\n",
       "      <td>2015</td>\n",
       "      <td>1</td>\n",
       "      <td>MIN</td>\n",
       "      <td>AL</td>\n",
       "      <td>19</td>\n",
       "      <td>58</td>\n",
       "      <td>6</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4</td>\n",
       "      <td>15.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99954</th>\n",
       "      <td>bernido01</td>\n",
       "      <td>2015</td>\n",
       "      <td>1</td>\n",
       "      <td>MIN</td>\n",
       "      <td>AL</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99988</th>\n",
       "      <td>boyerbl01</td>\n",
       "      <td>2015</td>\n",
       "      <td>1</td>\n",
       "      <td>MIN</td>\n",
       "      <td>AL</td>\n",
       "      <td>68</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100030</th>\n",
       "      <td>buxtoby01</td>\n",
       "      <td>2015</td>\n",
       "      <td>1</td>\n",
       "      <td>MIN</td>\n",
       "      <td>AL</td>\n",
       "      <td>46</td>\n",
       "      <td>129</td>\n",
       "      <td>16</td>\n",
       "      <td>27</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6</td>\n",
       "      <td>44.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100139</th>\n",
       "      <td>cottsne01</td>\n",
       "      <td>2015</td>\n",
       "      <td>2</td>\n",
       "      <td>MIN</td>\n",
       "      <td>AL</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100215</th>\n",
       "      <td>doziebr01</td>\n",
       "      <td>2015</td>\n",
       "      <td>1</td>\n",
       "      <td>MIN</td>\n",
       "      <td>AL</td>\n",
       "      <td>157</td>\n",
       "      <td>628</td>\n",
       "      <td>101</td>\n",
       "      <td>148</td>\n",
       "      <td>39</td>\n",
       "      <td>...</td>\n",
       "      <td>77.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>61</td>\n",
       "      <td>148.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100221</th>\n",
       "      <td>duensbr01</td>\n",
       "      <td>2015</td>\n",
       "      <td>1</td>\n",
       "      <td>MIN</td>\n",
       "      <td>AL</td>\n",
       "      <td>55</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100222</th>\n",
       "      <td>duffety01</td>\n",
       "      <td>2015</td>\n",
       "      <td>1</td>\n",
       "      <td>MIN</td>\n",
       "      <td>AL</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100249</th>\n",
       "      <td>escobed01</td>\n",
       "      <td>2015</td>\n",
       "      <td>1</td>\n",
       "      <td>MIN</td>\n",
       "      <td>AL</td>\n",
       "      <td>127</td>\n",
       "      <td>409</td>\n",
       "      <td>48</td>\n",
       "      <td>107</td>\n",
       "      <td>31</td>\n",
       "      <td>...</td>\n",
       "      <td>58.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>28</td>\n",
       "      <td>86.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         playerID  yearID  stint teamID lgID    G   AB    R    H  2B  ...   \\\n",
       "99850   achteaj01    2015      1    MIN   AL   11    0    0    0   0  ...    \n",
       "99891   arciaos01    2015      1    MIN   AL   19   58    6   16   0  ...    \n",
       "99954   bernido01    2015      1    MIN   AL    4    5    1    1   1  ...    \n",
       "99988   boyerbl01    2015      1    MIN   AL   68    0    0    0   0  ...    \n",
       "100030  buxtoby01    2015      1    MIN   AL   46  129   16   27   7  ...    \n",
       "100139  cottsne01    2015      2    MIN   AL   17    0    0    0   0  ...    \n",
       "100215  doziebr01    2015      1    MIN   AL  157  628  101  148  39  ...    \n",
       "100221  duensbr01    2015      1    MIN   AL   55    1    0    0   0  ...    \n",
       "100222  duffety01    2015      1    MIN   AL   10    0    0    0   0  ...    \n",
       "100249  escobed01    2015      1    MIN   AL  127  409   48  107  31  ...    \n",
       "\n",
       "         RBI    SB   CS  BB     SO  IBB  HBP   SH   SF  GIDP  \n",
       "99850    0.0   0.0  0.0   0    0.0  0.0  0.0  0.0  0.0   0.0  \n",
       "99891    8.0   0.0  0.0   4   15.0  4.0  2.0  0.0  1.0   2.0  \n",
       "99954    2.0   0.0  0.0   1    3.0  0.0  0.0  0.0  0.0   0.0  \n",
       "99988    0.0   0.0  0.0   0    0.0  0.0  0.0  0.0  0.0   0.0  \n",
       "100030   6.0   2.0  2.0   6   44.0  0.0  1.0  2.0  0.0   1.0  \n",
       "100139   0.0   0.0  0.0   0    0.0  0.0  0.0  0.0  0.0   0.0  \n",
       "100215  77.0  12.0  4.0  61  148.0  2.0  7.0  0.0  8.0  10.0  \n",
       "100221   0.0   0.0  0.0   0    0.0  0.0  0.0  0.0  0.0   0.0  \n",
       "100222   0.0   0.0  0.0   0    0.0  0.0  0.0  0.0  0.0   0.0  \n",
       "100249  58.0   2.0  3.0  28   86.0  1.0  2.0  2.0  5.0   7.0  \n",
       "\n",
       "[10 rows x 22 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[(df.yearID == 2015) & (df.teamID == \"MIN\")].head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now what if we wanted to restrict a subset of columns.  This is easy with `iloc[]` ... we will just use our boolean expression as above for the _row selection_ and then the list of columns for our _column selection_ (in this case a much smaller subset of data)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>playerID</th>\n",
       "      <th>G</th>\n",
       "      <th>AB</th>\n",
       "      <th>H</th>\n",
       "      <th>HR</th>\n",
       "      <th>RBI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>99850</th>\n",
       "      <td>achteaj01</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99891</th>\n",
       "      <td>arciaos01</td>\n",
       "      <td>19</td>\n",
       "      <td>58</td>\n",
       "      <td>16</td>\n",
       "      <td>2</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99954</th>\n",
       "      <td>bernido01</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99988</th>\n",
       "      <td>boyerbl01</td>\n",
       "      <td>68</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100030</th>\n",
       "      <td>buxtoby01</td>\n",
       "      <td>46</td>\n",
       "      <td>129</td>\n",
       "      <td>27</td>\n",
       "      <td>2</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100139</th>\n",
       "      <td>cottsne01</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100215</th>\n",
       "      <td>doziebr01</td>\n",
       "      <td>157</td>\n",
       "      <td>628</td>\n",
       "      <td>148</td>\n",
       "      <td>28</td>\n",
       "      <td>77.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100221</th>\n",
       "      <td>duensbr01</td>\n",
       "      <td>55</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100222</th>\n",
       "      <td>duffety01</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100249</th>\n",
       "      <td>escobed01</td>\n",
       "      <td>127</td>\n",
       "      <td>409</td>\n",
       "      <td>107</td>\n",
       "      <td>12</td>\n",
       "      <td>58.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100270</th>\n",
       "      <td>fienca01</td>\n",
       "      <td>62</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100302</th>\n",
       "      <td>fryerer01</td>\n",
       "      <td>15</td>\n",
       "      <td>22</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100333</th>\n",
       "      <td>gibsoky01</td>\n",
       "      <td>32</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100373</th>\n",
       "      <td>grahajr01</td>\n",
       "      <td>39</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100455</th>\n",
       "      <td>herrmch01</td>\n",
       "      <td>45</td>\n",
       "      <td>103</td>\n",
       "      <td>15</td>\n",
       "      <td>2</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100459</th>\n",
       "      <td>hicksaa01</td>\n",
       "      <td>97</td>\n",
       "      <td>352</td>\n",
       "      <td>90</td>\n",
       "      <td>11</td>\n",
       "      <td>33.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100486</th>\n",
       "      <td>hugheph01</td>\n",
       "      <td>27</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100488</th>\n",
       "      <td>hunteto01</td>\n",
       "      <td>139</td>\n",
       "      <td>521</td>\n",
       "      <td>125</td>\n",
       "      <td>22</td>\n",
       "      <td>81.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100521</th>\n",
       "      <td>jepseke01</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100564</th>\n",
       "      <td>keplema01</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100696</th>\n",
       "      <td>mauerjo01</td>\n",
       "      <td>158</td>\n",
       "      <td>592</td>\n",
       "      <td>157</td>\n",
       "      <td>10</td>\n",
       "      <td>66.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100701</th>\n",
       "      <td>maytr01</td>\n",
       "      <td>48</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100729</th>\n",
       "      <td>meyeral01</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100737</th>\n",
       "      <td>milonto01</td>\n",
       "      <td>24</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100807</th>\n",
       "      <td>nolasri01</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100816</th>\n",
       "      <td>nunezed02</td>\n",
       "      <td>72</td>\n",
       "      <td>188</td>\n",
       "      <td>53</td>\n",
       "      <td>4</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100837</th>\n",
       "      <td>orourry01</td>\n",
       "      <td>28</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100872</th>\n",
       "      <td>pelfrmi01</td>\n",
       "      <td>30</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100895</th>\n",
       "      <td>perkigl01</td>\n",
       "      <td>60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100915</th>\n",
       "      <td>plouftr01</td>\n",
       "      <td>152</td>\n",
       "      <td>573</td>\n",
       "      <td>140</td>\n",
       "      <td>22</td>\n",
       "      <td>86.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100917</th>\n",
       "      <td>polanjo01</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100925</th>\n",
       "      <td>pressry01</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100994</th>\n",
       "      <td>robinsh01</td>\n",
       "      <td>83</td>\n",
       "      <td>180</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101023</th>\n",
       "      <td>rosared01</td>\n",
       "      <td>122</td>\n",
       "      <td>453</td>\n",
       "      <td>121</td>\n",
       "      <td>13</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101067</th>\n",
       "      <td>sanomi01</td>\n",
       "      <td>80</td>\n",
       "      <td>279</td>\n",
       "      <td>75</td>\n",
       "      <td>18</td>\n",
       "      <td>52.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101069</th>\n",
       "      <td>santada01</td>\n",
       "      <td>91</td>\n",
       "      <td>261</td>\n",
       "      <td>56</td>\n",
       "      <td>0</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101072</th>\n",
       "      <td>santaer01</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101079</th>\n",
       "      <td>schafjo02</td>\n",
       "      <td>27</td>\n",
       "      <td>69</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101144</th>\n",
       "      <td>staufti01</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101164</th>\n",
       "      <td>suzukku01</td>\n",
       "      <td>131</td>\n",
       "      <td>433</td>\n",
       "      <td>104</td>\n",
       "      <td>5</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101189</th>\n",
       "      <td>thielca01</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101193</th>\n",
       "      <td>thompaa01</td>\n",
       "      <td>41</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101203</th>\n",
       "      <td>tonkimi01</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101240</th>\n",
       "      <td>vargake01</td>\n",
       "      <td>58</td>\n",
       "      <td>175</td>\n",
       "      <td>42</td>\n",
       "      <td>5</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         playerID    G   AB    H  HR   RBI\n",
       "99850   achteaj01   11    0    0   0   0.0\n",
       "99891   arciaos01   19   58   16   2   8.0\n",
       "99954   bernido01    4    5    1   0   2.0\n",
       "99988   boyerbl01   68    0    0   0   0.0\n",
       "100030  buxtoby01   46  129   27   2   6.0\n",
       "100139  cottsne01   17    0    0   0   0.0\n",
       "100215  doziebr01  157  628  148  28  77.0\n",
       "100221  duensbr01   55    1    0   0   0.0\n",
       "100222  duffety01   10    0    0   0   0.0\n",
       "100249  escobed01  127  409  107  12  58.0\n",
       "100270   fienca01   62    0    0   0   0.0\n",
       "100302  fryerer01   15   22    5   0   2.0\n",
       "100333  gibsoky01   32    5    1   0   0.0\n",
       "100373  grahajr01   39    0    0   0   0.0\n",
       "100455  herrmch01   45  103   15   2  10.0\n",
       "100459  hicksaa01   97  352   90  11  33.0\n",
       "100486  hugheph01   27    3    0   0   0.0\n",
       "100488  hunteto01  139  521  125  22  81.0\n",
       "100521  jepseke01   29    0    0   0   0.0\n",
       "100564  keplema01    3    7    1   0   0.0\n",
       "100696  mauerjo01  158  592  157  10  66.0\n",
       "100701    maytr01   48    3    0   0   0.0\n",
       "100729  meyeral01    2    0    0   0   0.0\n",
       "100737  milonto01   24    2    0   0   0.0\n",
       "100807  nolasri01    9    3    0   0   0.0\n",
       "100816  nunezed02   72  188   53   4  20.0\n",
       "100837  orourry01   28    0    0   0   0.0\n",
       "100872  pelfrmi01   30    3    2   0   0.0\n",
       "100895  perkigl01   60    0    0   0   0.0\n",
       "100915  plouftr01  152  573  140  22  86.0\n",
       "100917  polanjo01    4   10    3   0   1.0\n",
       "100925  pressry01   27    0    0   0   0.0\n",
       "100994  robinsh01   83  180   45   0  16.0\n",
       "101023  rosared01  122  453  121  13  50.0\n",
       "101067   sanomi01   80  279   75  18  52.0\n",
       "101069  santada01   91  261   56   0  21.0\n",
       "101072  santaer01   17    0    0   0   0.0\n",
       "101079  schafjo02   27   69   15   0   5.0\n",
       "101144  staufti01   13    0    0   0   0.0\n",
       "101164  suzukku01  131  433  104   5  50.0\n",
       "101189  thielca01    6    0    0   0   0.0\n",
       "101193  thompaa01   41    0    0   0   0.0\n",
       "101203  tonkimi01   26    0    0   0   0.0\n",
       "101240  vargake01   58  175   42   5  17.0"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[(df.yearID == 2015) & (df.teamID == \"MIN\"),\\\n",
    "       ['playerID', 'G', 'AB', 'H', 'HR', 'RBI']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sorting"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Sorting is facilitated by the [`sort_values()` method]().  By default, sorting is done in _ascending order_, specify the parameter `ascending=False` to get descending order."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>playerID</th>\n",
       "      <th>G</th>\n",
       "      <th>AB</th>\n",
       "      <th>H</th>\n",
       "      <th>HR</th>\n",
       "      <th>RBI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>100696</th>\n",
       "      <td>mauerjo01</td>\n",
       "      <td>158</td>\n",
       "      <td>592</td>\n",
       "      <td>157</td>\n",
       "      <td>10</td>\n",
       "      <td>66.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100215</th>\n",
       "      <td>doziebr01</td>\n",
       "      <td>157</td>\n",
       "      <td>628</td>\n",
       "      <td>148</td>\n",
       "      <td>28</td>\n",
       "      <td>77.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100915</th>\n",
       "      <td>plouftr01</td>\n",
       "      <td>152</td>\n",
       "      <td>573</td>\n",
       "      <td>140</td>\n",
       "      <td>22</td>\n",
       "      <td>86.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100488</th>\n",
       "      <td>hunteto01</td>\n",
       "      <td>139</td>\n",
       "      <td>521</td>\n",
       "      <td>125</td>\n",
       "      <td>22</td>\n",
       "      <td>81.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101164</th>\n",
       "      <td>suzukku01</td>\n",
       "      <td>131</td>\n",
       "      <td>433</td>\n",
       "      <td>104</td>\n",
       "      <td>5</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100249</th>\n",
       "      <td>escobed01</td>\n",
       "      <td>127</td>\n",
       "      <td>409</td>\n",
       "      <td>107</td>\n",
       "      <td>12</td>\n",
       "      <td>58.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101023</th>\n",
       "      <td>rosared01</td>\n",
       "      <td>122</td>\n",
       "      <td>453</td>\n",
       "      <td>121</td>\n",
       "      <td>13</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100459</th>\n",
       "      <td>hicksaa01</td>\n",
       "      <td>97</td>\n",
       "      <td>352</td>\n",
       "      <td>90</td>\n",
       "      <td>11</td>\n",
       "      <td>33.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101069</th>\n",
       "      <td>santada01</td>\n",
       "      <td>91</td>\n",
       "      <td>261</td>\n",
       "      <td>56</td>\n",
       "      <td>0</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100994</th>\n",
       "      <td>robinsh01</td>\n",
       "      <td>83</td>\n",
       "      <td>180</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101067</th>\n",
       "      <td>sanomi01</td>\n",
       "      <td>80</td>\n",
       "      <td>279</td>\n",
       "      <td>75</td>\n",
       "      <td>18</td>\n",
       "      <td>52.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100816</th>\n",
       "      <td>nunezed02</td>\n",
       "      <td>72</td>\n",
       "      <td>188</td>\n",
       "      <td>53</td>\n",
       "      <td>4</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99988</th>\n",
       "      <td>boyerbl01</td>\n",
       "      <td>68</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100270</th>\n",
       "      <td>fienca01</td>\n",
       "      <td>62</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100895</th>\n",
       "      <td>perkigl01</td>\n",
       "      <td>60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101240</th>\n",
       "      <td>vargake01</td>\n",
       "      <td>58</td>\n",
       "      <td>175</td>\n",
       "      <td>42</td>\n",
       "      <td>5</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100221</th>\n",
       "      <td>duensbr01</td>\n",
       "      <td>55</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100701</th>\n",
       "      <td>maytr01</td>\n",
       "      <td>48</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100030</th>\n",
       "      <td>buxtoby01</td>\n",
       "      <td>46</td>\n",
       "      <td>129</td>\n",
       "      <td>27</td>\n",
       "      <td>2</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100455</th>\n",
       "      <td>herrmch01</td>\n",
       "      <td>45</td>\n",
       "      <td>103</td>\n",
       "      <td>15</td>\n",
       "      <td>2</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         playerID    G   AB    H  HR   RBI\n",
       "100696  mauerjo01  158  592  157  10  66.0\n",
       "100215  doziebr01  157  628  148  28  77.0\n",
       "100915  plouftr01  152  573  140  22  86.0\n",
       "100488  hunteto01  139  521  125  22  81.0\n",
       "101164  suzukku01  131  433  104   5  50.0\n",
       "100249  escobed01  127  409  107  12  58.0\n",
       "101023  rosared01  122  453  121  13  50.0\n",
       "100459  hicksaa01   97  352   90  11  33.0\n",
       "101069  santada01   91  261   56   0  21.0\n",
       "100994  robinsh01   83  180   45   0  16.0\n",
       "101067   sanomi01   80  279   75  18  52.0\n",
       "100816  nunezed02   72  188   53   4  20.0\n",
       "99988   boyerbl01   68    0    0   0   0.0\n",
       "100270   fienca01   62    0    0   0   0.0\n",
       "100895  perkigl01   60    0    0   0   0.0\n",
       "101240  vargake01   58  175   42   5  17.0\n",
       "100221  duensbr01   55    1    0   0   0.0\n",
       "100701    maytr01   48    3    0   0   0.0\n",
       "100030  buxtoby01   46  129   27   2   6.0\n",
       "100455  herrmch01   45  103   15   2  10.0"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_min_2015 = df.loc[(df.yearID == 2015) & (df.teamID == \"MIN\"),\\\n",
    "                     ['playerID', 'G', 'AB', 'H', 'HR', 'RBI']]\\\n",
    "            .sort_values('G', ascending=False)\n",
    "df_min_2015.head(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We may also do a _multi-sort_ by passing in the list of _columns_ we want sorted.  This will sort in the order of the columns provided.  For example,"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>playerID</th>\n",
       "      <th>G</th>\n",
       "      <th>AB</th>\n",
       "      <th>H</th>\n",
       "      <th>HR</th>\n",
       "      <th>RBI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>101189</th>\n",
       "      <td>thielca01</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99954</th>\n",
       "      <td>bernido01</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100917</th>\n",
       "      <td>polanjo01</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100564</th>\n",
       "      <td>keplema01</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100729</th>\n",
       "      <td>meyeral01</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         playerID  G  AB  H  HR  RBI\n",
       "101189  thielca01  6   0  0   0  0.0\n",
       "99954   bernido01  4   5  1   0  2.0\n",
       "100917  polanjo01  4  10  3   0  1.0\n",
       "100564  keplema01  3   7  1   0  0.0\n",
       "100729  meyeral01  2   0  0   0  0.0"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[(df.yearID == 2015) & (df.teamID == \"MIN\"),\\\n",
    "        ['playerID', 'G', 'AB', 'H', 'HR', 'RBI']]\\\n",
    "        .sort_values(['G', 'HR'], ascending=False).tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## DataFrame manipulation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Adding and dropping columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>playerID</th>\n",
       "      <th>G</th>\n",
       "      <th>AB</th>\n",
       "      <th>H</th>\n",
       "      <th>HR</th>\n",
       "      <th>RBI</th>\n",
       "      <th>HtoAB</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>100696</th>\n",
       "      <td>mauerjo01</td>\n",
       "      <td>158</td>\n",
       "      <td>592</td>\n",
       "      <td>157</td>\n",
       "      <td>10</td>\n",
       "      <td>66.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100215</th>\n",
       "      <td>doziebr01</td>\n",
       "      <td>157</td>\n",
       "      <td>628</td>\n",
       "      <td>148</td>\n",
       "      <td>28</td>\n",
       "      <td>77.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100915</th>\n",
       "      <td>plouftr01</td>\n",
       "      <td>152</td>\n",
       "      <td>573</td>\n",
       "      <td>140</td>\n",
       "      <td>22</td>\n",
       "      <td>86.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100488</th>\n",
       "      <td>hunteto01</td>\n",
       "      <td>139</td>\n",
       "      <td>521</td>\n",
       "      <td>125</td>\n",
       "      <td>22</td>\n",
       "      <td>81.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101164</th>\n",
       "      <td>suzukku01</td>\n",
       "      <td>131</td>\n",
       "      <td>433</td>\n",
       "      <td>104</td>\n",
       "      <td>5</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         playerID    G   AB    H  HR   RBI  HtoAB\n",
       "100696  mauerjo01  158  592  157  10  66.0      0\n",
       "100215  doziebr01  157  628  148  28  77.0      0\n",
       "100915  plouftr01  152  573  140  22  86.0      0\n",
       "100488  hunteto01  139  521  125  22  81.0      0\n",
       "101164  suzukku01  131  433  104   5  50.0      0"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_min_2015.loc[:,'HtoAB'] = 0\n",
    "df_min_2015.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>playerID</th>\n",
       "      <th>G</th>\n",
       "      <th>AB</th>\n",
       "      <th>H</th>\n",
       "      <th>HR</th>\n",
       "      <th>RBI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>100696</th>\n",
       "      <td>mauerjo01</td>\n",
       "      <td>158</td>\n",
       "      <td>592</td>\n",
       "      <td>157</td>\n",
       "      <td>10</td>\n",
       "      <td>66.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100215</th>\n",
       "      <td>doziebr01</td>\n",
       "      <td>157</td>\n",
       "      <td>628</td>\n",
       "      <td>148</td>\n",
       "      <td>28</td>\n",
       "      <td>77.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100915</th>\n",
       "      <td>plouftr01</td>\n",
       "      <td>152</td>\n",
       "      <td>573</td>\n",
       "      <td>140</td>\n",
       "      <td>22</td>\n",
       "      <td>86.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100488</th>\n",
       "      <td>hunteto01</td>\n",
       "      <td>139</td>\n",
       "      <td>521</td>\n",
       "      <td>125</td>\n",
       "      <td>22</td>\n",
       "      <td>81.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101164</th>\n",
       "      <td>suzukku01</td>\n",
       "      <td>131</td>\n",
       "      <td>433</td>\n",
       "      <td>104</td>\n",
       "      <td>5</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         playerID    G   AB    H  HR   RBI\n",
       "100696  mauerjo01  158  592  157  10  66.0\n",
       "100215  doziebr01  157  628  148  28  77.0\n",
       "100915  plouftr01  152  573  140  22  86.0\n",
       "100488  hunteto01  139  521  125  22  81.0\n",
       "101164  suzukku01  131  433  104   5  50.0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_min_2015 = df_min_2015.drop('HtoAB', axis=1)\n",
    "df_min_2015.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "100696    157\n",
       "100215    148\n",
       "100915    140\n",
       "100488    125\n",
       "101164    104\n",
       "100249    107\n",
       "101023    121\n",
       "100459     90\n",
       "101069     56\n",
       "100994     45\n",
       "Name: H, dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_min_2015.H.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_min_2015.loc[:,'HtoAB'] = 0\n",
    "df_min_2015.loc[:,'HtoAB'] = [v.H/v.AB \n",
    "                              if v.AB > 0 else 0 \n",
    "                              for r, v in df_min_2015.iterrows()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>playerID</th>\n",
       "      <th>G</th>\n",
       "      <th>AB</th>\n",
       "      <th>H</th>\n",
       "      <th>HR</th>\n",
       "      <th>RBI</th>\n",
       "      <th>HtoAB</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>100696</th>\n",
       "      <td>mauerjo01</td>\n",
       "      <td>158</td>\n",
       "      <td>592</td>\n",
       "      <td>157</td>\n",
       "      <td>10</td>\n",
       "      <td>66.0</td>\n",
       "      <td>0.265203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100215</th>\n",
       "      <td>doziebr01</td>\n",
       "      <td>157</td>\n",
       "      <td>628</td>\n",
       "      <td>148</td>\n",
       "      <td>28</td>\n",
       "      <td>77.0</td>\n",
       "      <td>0.235669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100915</th>\n",
       "      <td>plouftr01</td>\n",
       "      <td>152</td>\n",
       "      <td>573</td>\n",
       "      <td>140</td>\n",
       "      <td>22</td>\n",
       "      <td>86.0</td>\n",
       "      <td>0.244328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100488</th>\n",
       "      <td>hunteto01</td>\n",
       "      <td>139</td>\n",
       "      <td>521</td>\n",
       "      <td>125</td>\n",
       "      <td>22</td>\n",
       "      <td>81.0</td>\n",
       "      <td>0.239923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101164</th>\n",
       "      <td>suzukku01</td>\n",
       "      <td>131</td>\n",
       "      <td>433</td>\n",
       "      <td>104</td>\n",
       "      <td>5</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.240185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100249</th>\n",
       "      <td>escobed01</td>\n",
       "      <td>127</td>\n",
       "      <td>409</td>\n",
       "      <td>107</td>\n",
       "      <td>12</td>\n",
       "      <td>58.0</td>\n",
       "      <td>0.261614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101023</th>\n",
       "      <td>rosared01</td>\n",
       "      <td>122</td>\n",
       "      <td>453</td>\n",
       "      <td>121</td>\n",
       "      <td>13</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.267108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100459</th>\n",
       "      <td>hicksaa01</td>\n",
       "      <td>97</td>\n",
       "      <td>352</td>\n",
       "      <td>90</td>\n",
       "      <td>11</td>\n",
       "      <td>33.0</td>\n",
       "      <td>0.255682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101069</th>\n",
       "      <td>santada01</td>\n",
       "      <td>91</td>\n",
       "      <td>261</td>\n",
       "      <td>56</td>\n",
       "      <td>0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>0.214559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100994</th>\n",
       "      <td>robinsh01</td>\n",
       "      <td>83</td>\n",
       "      <td>180</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.250000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         playerID    G   AB    H  HR   RBI     HtoAB\n",
       "100696  mauerjo01  158  592  157  10  66.0  0.265203\n",
       "100215  doziebr01  157  628  148  28  77.0  0.235669\n",
       "100915  plouftr01  152  573  140  22  86.0  0.244328\n",
       "100488  hunteto01  139  521  125  22  81.0  0.239923\n",
       "101164  suzukku01  131  433  104   5  50.0  0.240185\n",
       "100249  escobed01  127  409  107  12  58.0  0.261614\n",
       "101023  rosared01  122  453  121  13  50.0  0.267108\n",
       "100459  hicksaa01   97  352   90  11  33.0  0.255682\n",
       "101069  santada01   91  261   56   0  21.0  0.214559\n",
       "100994  robinsh01   83  180   45   0  16.0  0.250000"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_min_2015.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>playerID</th>\n",
       "      <th>G</th>\n",
       "      <th>AB</th>\n",
       "      <th>H</th>\n",
       "      <th>HR</th>\n",
       "      <th>RBI</th>\n",
       "      <th>HtoAB</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>101023</th>\n",
       "      <td>rosared01</td>\n",
       "      <td>122</td>\n",
       "      <td>453</td>\n",
       "      <td>121</td>\n",
       "      <td>13</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.267108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100696</th>\n",
       "      <td>mauerjo01</td>\n",
       "      <td>158</td>\n",
       "      <td>592</td>\n",
       "      <td>157</td>\n",
       "      <td>10</td>\n",
       "      <td>66.0</td>\n",
       "      <td>0.265203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100249</th>\n",
       "      <td>escobed01</td>\n",
       "      <td>127</td>\n",
       "      <td>409</td>\n",
       "      <td>107</td>\n",
       "      <td>12</td>\n",
       "      <td>58.0</td>\n",
       "      <td>0.261614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100459</th>\n",
       "      <td>hicksaa01</td>\n",
       "      <td>97</td>\n",
       "      <td>352</td>\n",
       "      <td>90</td>\n",
       "      <td>11</td>\n",
       "      <td>33.0</td>\n",
       "      <td>0.255682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100994</th>\n",
       "      <td>robinsh01</td>\n",
       "      <td>83</td>\n",
       "      <td>180</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100915</th>\n",
       "      <td>plouftr01</td>\n",
       "      <td>152</td>\n",
       "      <td>573</td>\n",
       "      <td>140</td>\n",
       "      <td>22</td>\n",
       "      <td>86.0</td>\n",
       "      <td>0.244328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101164</th>\n",
       "      <td>suzukku01</td>\n",
       "      <td>131</td>\n",
       "      <td>433</td>\n",
       "      <td>104</td>\n",
       "      <td>5</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.240185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100488</th>\n",
       "      <td>hunteto01</td>\n",
       "      <td>139</td>\n",
       "      <td>521</td>\n",
       "      <td>125</td>\n",
       "      <td>22</td>\n",
       "      <td>81.0</td>\n",
       "      <td>0.239923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100215</th>\n",
       "      <td>doziebr01</td>\n",
       "      <td>157</td>\n",
       "      <td>628</td>\n",
       "      <td>148</td>\n",
       "      <td>28</td>\n",
       "      <td>77.0</td>\n",
       "      <td>0.235669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101069</th>\n",
       "      <td>santada01</td>\n",
       "      <td>91</td>\n",
       "      <td>261</td>\n",
       "      <td>56</td>\n",
       "      <td>0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>0.214559</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         playerID    G   AB    H  HR   RBI     HtoAB\n",
       "101023  rosared01  122  453  121  13  50.0  0.267108\n",
       "100696  mauerjo01  158  592  157  10  66.0  0.265203\n",
       "100249  escobed01  127  409  107  12  58.0  0.261614\n",
       "100459  hicksaa01   97  352   90  11  33.0  0.255682\n",
       "100994  robinsh01   83  180   45   0  16.0  0.250000\n",
       "100915  plouftr01  152  573  140  22  86.0  0.244328\n",
       "101164  suzukku01  131  433  104   5  50.0  0.240185\n",
       "100488  hunteto01  139  521  125  22  81.0  0.239923\n",
       "100215  doziebr01  157  628  148  28  77.0  0.235669\n",
       "101069  santada01   91  261   56   0  21.0  0.214559"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_min_2015[df_min_2015.G>80].sort_values('HtoAB', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>playerID</th>\n",
       "      <th>HtoAB</th>\n",
       "      <th>AB</th>\n",
       "      <th>H</th>\n",
       "      <th>HR</th>\n",
       "      <th>RBI</th>\n",
       "      <th>G</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>100696</th>\n",
       "      <td>mauerjo01</td>\n",
       "      <td>0.265203</td>\n",
       "      <td>592</td>\n",
       "      <td>157</td>\n",
       "      <td>10</td>\n",
       "      <td>66.0</td>\n",
       "      <td>158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100215</th>\n",
       "      <td>doziebr01</td>\n",
       "      <td>0.235669</td>\n",
       "      <td>628</td>\n",
       "      <td>148</td>\n",
       "      <td>28</td>\n",
       "      <td>77.0</td>\n",
       "      <td>157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100915</th>\n",
       "      <td>plouftr01</td>\n",
       "      <td>0.244328</td>\n",
       "      <td>573</td>\n",
       "      <td>140</td>\n",
       "      <td>22</td>\n",
       "      <td>86.0</td>\n",
       "      <td>152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100488</th>\n",
       "      <td>hunteto01</td>\n",
       "      <td>0.239923</td>\n",
       "      <td>521</td>\n",
       "      <td>125</td>\n",
       "      <td>22</td>\n",
       "      <td>81.0</td>\n",
       "      <td>139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101164</th>\n",
       "      <td>suzukku01</td>\n",
       "      <td>0.240185</td>\n",
       "      <td>433</td>\n",
       "      <td>104</td>\n",
       "      <td>5</td>\n",
       "      <td>50.0</td>\n",
       "      <td>131</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         playerID     HtoAB   AB    H  HR   RBI    G\n",
       "100696  mauerjo01  0.265203  592  157  10  66.0  158\n",
       "100215  doziebr01  0.235669  628  148  28  77.0  157\n",
       "100915  plouftr01  0.244328  573  140  22  86.0  152\n",
       "100488  hunteto01  0.239923  521  125  22  81.0  139\n",
       "101164  suzukku01  0.240185  433  104   5  50.0  131"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_min_2015 = df_min_2015.reindex(columns=['playerID', 'HtoAB',  'AB', 'H', 'HR', 'RBI', 'G'])\n",
    "df_min_2015.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, we can return our DataFrame back to its original columns (and order) by reindexing again.  Notice, also that we can effectively perform a `drop()` by doing this, though the syntax with `reindex()` is more verbose."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>playerID</th>\n",
       "      <th>G</th>\n",
       "      <th>AB</th>\n",
       "      <th>H</th>\n",
       "      <th>HR</th>\n",
       "      <th>RBI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>100696</th>\n",
       "      <td>mauerjo01</td>\n",
       "      <td>158</td>\n",
       "      <td>592</td>\n",
       "      <td>157</td>\n",
       "      <td>10</td>\n",
       "      <td>66.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100215</th>\n",
       "      <td>doziebr01</td>\n",
       "      <td>157</td>\n",
       "      <td>628</td>\n",
       "      <td>148</td>\n",
       "      <td>28</td>\n",
       "      <td>77.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100915</th>\n",
       "      <td>plouftr01</td>\n",
       "      <td>152</td>\n",
       "      <td>573</td>\n",
       "      <td>140</td>\n",
       "      <td>22</td>\n",
       "      <td>86.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100488</th>\n",
       "      <td>hunteto01</td>\n",
       "      <td>139</td>\n",
       "      <td>521</td>\n",
       "      <td>125</td>\n",
       "      <td>22</td>\n",
       "      <td>81.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101164</th>\n",
       "      <td>suzukku01</td>\n",
       "      <td>131</td>\n",
       "      <td>433</td>\n",
       "      <td>104</td>\n",
       "      <td>5</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         playerID    G   AB    H  HR   RBI\n",
       "100696  mauerjo01  158  592  157  10  66.0\n",
       "100215  doziebr01  157  628  148  28  77.0\n",
       "100915  plouftr01  152  573  140  22  86.0\n",
       "100488  hunteto01  139  521  125  22  81.0\n",
       "101164  suzukku01  131  433  104   5  50.0"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_min_2015 = df_min_2015.reindex(columns=['playerID', 'G',  'AB', 'H', 'HR', 'RBI'])\n",
    "df_min_2015.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Adding and dropping rows"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Adding rows can be achieved using `loc[]` and setting the new index to a dictionary of values using the column labels as keys."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>playerID</th>\n",
       "      <th>G</th>\n",
       "      <th>AB</th>\n",
       "      <th>H</th>\n",
       "      <th>HR</th>\n",
       "      <th>RBI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>100917</th>\n",
       "      <td>polanjo01</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99954</th>\n",
       "      <td>bernido01</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100564</th>\n",
       "      <td>keplema01</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100729</th>\n",
       "      <td>meyeral01</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200000</th>\n",
       "      <td>keith01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         playerID  G  AB  H HR RBI\n",
       "100917  polanjo01  4  10  3  0   1\n",
       "99954   bernido01  4   5  1  0   2\n",
       "100564  keplema01  3   7  1  0   0\n",
       "100729  meyeral01  2   0  0  0   0\n",
       "200000    keith01  0   0  0  0   0"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_min_2015.loc[200000] = \\\n",
    "    {   'playerID': 'keith01',\n",
    "        'RBI': '0',\n",
    "        'G': '0',\n",
    "        'H': '0',\n",
    "        'HR': '0',\n",
    "        'AB': '0' }\n",
    "    \n",
    "df_min_2015.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It is also the same with lists and tuples."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>playerID</th>\n",
       "      <th>G</th>\n",
       "      <th>AB</th>\n",
       "      <th>H</th>\n",
       "      <th>HR</th>\n",
       "      <th>RBI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>99954</th>\n",
       "      <td>bernido01</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100564</th>\n",
       "      <td>keplema01</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100729</th>\n",
       "      <td>meyeral01</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200000</th>\n",
       "      <td>keith01</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200001</th>\n",
       "      <td>keith02</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         playerID  G AB  H HR RBI\n",
       "99954   bernido01  4  5  1  0   2\n",
       "100564  keplema01  3  7  1  0   0\n",
       "100729  meyeral01  2  0  0  0   0\n",
       "200000    keith01  1  1  1  1   1\n",
       "200001    keith02  1  1  1  1   1"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_min_2015.loc[200000] = ('keith01', 1, 1, 1, 1, 1)\n",
    "df_min_2015.loc[200001] = ['keith02', 1, 1, 1, 1, 1]\n",
    "\n",
    "df_min_2015.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that we can drop a number of rows at a time by passing a list of the indices we'd like dropped."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>playerID</th>\n",
       "      <th>G</th>\n",
       "      <th>AB</th>\n",
       "      <th>H</th>\n",
       "      <th>HR</th>\n",
       "      <th>RBI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>101189</th>\n",
       "      <td>thielca01</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100917</th>\n",
       "      <td>polanjo01</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99954</th>\n",
       "      <td>bernido01</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100564</th>\n",
       "      <td>keplema01</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100729</th>\n",
       "      <td>meyeral01</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         playerID  G  AB  H HR RBI\n",
       "101189  thielca01  6   0  0  0   0\n",
       "100917  polanjo01  4  10  3  0   1\n",
       "99954   bernido01  4   5  1  0   2\n",
       "100564  keplema01  3   7  1  0   0\n",
       "100729  meyeral01  2   0  0  0   0"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_min_2015 = df_min_2015.drop([200000, 200001], axis=0)\n",
    "df_min_2015.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Similar results can be achieved using [`append()`](http://pandas.pydata.org/pandas-docs/version/0.17.0/generated/pandas.DataFrame.append.html#pandas.DataFrame.append).  With append, you can append, Series, DataFrames and/or a list of these."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>playerID</th>\n",
       "      <th>G</th>\n",
       "      <th>AB</th>\n",
       "      <th>H</th>\n",
       "      <th>HR</th>\n",
       "      <th>RBI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>100917</th>\n",
       "      <td>polanjo01</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99954</th>\n",
       "      <td>bernido01</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100564</th>\n",
       "      <td>keplema01</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100729</th>\n",
       "      <td>meyeral01</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200000</th>\n",
       "      <td>keith01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         playerID  G  AB  H HR RBI\n",
       "100917  polanjo01  4  10  3  0   1\n",
       "99954   bernido01  4   5  1  0   2\n",
       "100564  keplema01  3   7  1  0   0\n",
       "100729  meyeral01  2   0  0  0   0\n",
       "200000    keith01  0   0  0  0   0"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_min_2015.append(\n",
    "    pd.Series( \n",
    "     {'playerID': 'keith01', \n",
    "             'G': 0, \n",
    "             'AB': 0, \n",
    "             'H':0, \n",
    "             'HR': 0, \n",
    "             'RBI': 0}, name='200000')).tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>playerID</th>\n",
       "      <th>G</th>\n",
       "      <th>AB</th>\n",
       "      <th>H</th>\n",
       "      <th>HR</th>\n",
       "      <th>RBI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>100696</th>\n",
       "      <td>mauerjo01</td>\n",
       "      <td>158</td>\n",
       "      <td>592</td>\n",
       "      <td>157</td>\n",
       "      <td>10</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100215</th>\n",
       "      <td>doziebr01</td>\n",
       "      <td>157</td>\n",
       "      <td>628</td>\n",
       "      <td>148</td>\n",
       "      <td>28</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100915</th>\n",
       "      <td>plouftr01</td>\n",
       "      <td>152</td>\n",
       "      <td>573</td>\n",
       "      <td>140</td>\n",
       "      <td>22</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100488</th>\n",
       "      <td>hunteto01</td>\n",
       "      <td>139</td>\n",
       "      <td>521</td>\n",
       "      <td>125</td>\n",
       "      <td>22</td>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101164</th>\n",
       "      <td>suzukku01</td>\n",
       "      <td>131</td>\n",
       "      <td>433</td>\n",
       "      <td>104</td>\n",
       "      <td>5</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101189</th>\n",
       "      <td>thielca01</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100917</th>\n",
       "      <td>polanjo01</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99954</th>\n",
       "      <td>bernido01</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100564</th>\n",
       "      <td>keplema01</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100729</th>\n",
       "      <td>meyeral01</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         playerID    G   AB    H  HR RBI\n",
       "100696  mauerjo01  158  592  157  10  66\n",
       "100215  doziebr01  157  628  148  28  77\n",
       "100915  plouftr01  152  573  140  22  86\n",
       "100488  hunteto01  139  521  125  22  81\n",
       "101164  suzukku01  131  433  104   5  50\n",
       "101189  thielca01    6    0    0   0   0\n",
       "100917  polanjo01    4   10    3   0   1\n",
       "99954   bernido01    4    5    1   0   2\n",
       "100564  keplema01    3    7    1   0   0\n",
       "100729  meyeral01    2    0    0   0   0"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_min_2015[:5].append(df_min_2015[-5:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>playerID</th>\n",
       "      <th>G</th>\n",
       "      <th>AB</th>\n",
       "      <th>H</th>\n",
       "      <th>HR</th>\n",
       "      <th>RBI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>100696</th>\n",
       "      <td>mauerjo01</td>\n",
       "      <td>158</td>\n",
       "      <td>592</td>\n",
       "      <td>157</td>\n",
       "      <td>10</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100215</th>\n",
       "      <td>doziebr01</td>\n",
       "      <td>157</td>\n",
       "      <td>628</td>\n",
       "      <td>148</td>\n",
       "      <td>28</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100915</th>\n",
       "      <td>plouftr01</td>\n",
       "      <td>152</td>\n",
       "      <td>573</td>\n",
       "      <td>140</td>\n",
       "      <td>22</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100488</th>\n",
       "      <td>hunteto01</td>\n",
       "      <td>139</td>\n",
       "      <td>521</td>\n",
       "      <td>125</td>\n",
       "      <td>22</td>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101164</th>\n",
       "      <td>suzukku01</td>\n",
       "      <td>131</td>\n",
       "      <td>433</td>\n",
       "      <td>104</td>\n",
       "      <td>5</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101067</th>\n",
       "      <td>sanomi01</td>\n",
       "      <td>80</td>\n",
       "      <td>279</td>\n",
       "      <td>75</td>\n",
       "      <td>18</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100816</th>\n",
       "      <td>nunezed02</td>\n",
       "      <td>72</td>\n",
       "      <td>188</td>\n",
       "      <td>53</td>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101189</th>\n",
       "      <td>thielca01</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100917</th>\n",
       "      <td>polanjo01</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99954</th>\n",
       "      <td>bernido01</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100564</th>\n",
       "      <td>keplema01</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100729</th>\n",
       "      <td>meyeral01</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         playerID    G   AB    H  HR RBI\n",
       "100696  mauerjo01  158  592  157  10  66\n",
       "100215  doziebr01  157  628  148  28  77\n",
       "100915  plouftr01  152  573  140  22  86\n",
       "100488  hunteto01  139  521  125  22  81\n",
       "101164  suzukku01  131  433  104   5  50\n",
       "101067   sanomi01   80  279   75  18  52\n",
       "100816  nunezed02   72  188   53   4  20\n",
       "101189  thielca01    6    0    0   0   0\n",
       "100917  polanjo01    4   10    3   0   1\n",
       "99954   bernido01    4    5    1   0   2\n",
       "100564  keplema01    3    7    1   0   0\n",
       "100729  meyeral01    2    0    0   0   0"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_min_2015[:5].append([df_min_2015[10:12], df_min_2015[-5:]])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The same result can be achieved with [`pd.concat()`](http://pandas.pydata.org/pandas-docs/version/0.17.0/generated/pandas.concat.html#pandas.concat), where the defaut `axis` is `0`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>playerID</th>\n",
       "      <th>G</th>\n",
       "      <th>AB</th>\n",
       "      <th>H</th>\n",
       "      <th>HR</th>\n",
       "      <th>RBI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>100696</th>\n",
       "      <td>mauerjo01</td>\n",
       "      <td>158</td>\n",
       "      <td>592</td>\n",
       "      <td>157</td>\n",
       "      <td>10</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100215</th>\n",
       "      <td>doziebr01</td>\n",
       "      <td>157</td>\n",
       "      <td>628</td>\n",
       "      <td>148</td>\n",
       "      <td>28</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100915</th>\n",
       "      <td>plouftr01</td>\n",
       "      <td>152</td>\n",
       "      <td>573</td>\n",
       "      <td>140</td>\n",
       "      <td>22</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100488</th>\n",
       "      <td>hunteto01</td>\n",
       "      <td>139</td>\n",
       "      <td>521</td>\n",
       "      <td>125</td>\n",
       "      <td>22</td>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101164</th>\n",
       "      <td>suzukku01</td>\n",
       "      <td>131</td>\n",
       "      <td>433</td>\n",
       "      <td>104</td>\n",
       "      <td>5</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101189</th>\n",
       "      <td>thielca01</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100917</th>\n",
       "      <td>polanjo01</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99954</th>\n",
       "      <td>bernido01</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100564</th>\n",
       "      <td>keplema01</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100729</th>\n",
       "      <td>meyeral01</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         playerID    G   AB    H  HR RBI\n",
       "100696  mauerjo01  158  592  157  10  66\n",
       "100215  doziebr01  157  628  148  28  77\n",
       "100915  plouftr01  152  573  140  22  86\n",
       "100488  hunteto01  139  521  125  22  81\n",
       "101164  suzukku01  131  433  104   5  50\n",
       "101189  thielca01    6    0    0   0   0\n",
       "100917  polanjo01    4   10    3   0   1\n",
       "99954   bernido01    4    5    1   0   2\n",
       "100564  keplema01    3    7    1   0   0\n",
       "100729  meyeral01    2    0    0   0   0"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.concat([df_min_2015[:5], \n",
    "          df_min_2015[-5:]], axis=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "But we can use `concat()` to make a _column-wise_ concatenation using `axis=1` (columns). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>playerID</th>\n",
       "      <th>G</th>\n",
       "      <th>AB</th>\n",
       "      <th>H</th>\n",
       "      <th>HR</th>\n",
       "      <th>RBI</th>\n",
       "      <th>playerID</th>\n",
       "      <th>G</th>\n",
       "      <th>AB</th>\n",
       "      <th>H</th>\n",
       "      <th>HR</th>\n",
       "      <th>RBI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>99954</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>bernido01</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100215</th>\n",
       "      <td>doziebr01</td>\n",
       "      <td>157</td>\n",
       "      <td>628</td>\n",
       "      <td>148</td>\n",
       "      <td>28</td>\n",
       "      <td>77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100488</th>\n",
       "      <td>hunteto01</td>\n",
       "      <td>139</td>\n",
       "      <td>521</td>\n",
       "      <td>125</td>\n",
       "      <td>22</td>\n",
       "      <td>81</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100564</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>keplema01</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100696</th>\n",
       "      <td>mauerjo01</td>\n",
       "      <td>158</td>\n",
       "      <td>592</td>\n",
       "      <td>157</td>\n",
       "      <td>10</td>\n",
       "      <td>66</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100729</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>meyeral01</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100915</th>\n",
       "      <td>plouftr01</td>\n",
       "      <td>152</td>\n",
       "      <td>573</td>\n",
       "      <td>140</td>\n",
       "      <td>22</td>\n",
       "      <td>86</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100917</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>polanjo01</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101164</th>\n",
       "      <td>suzukku01</td>\n",
       "      <td>131</td>\n",
       "      <td>433</td>\n",
       "      <td>104</td>\n",
       "      <td>5</td>\n",
       "      <td>50</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101189</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>thielca01</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         playerID    G   AB    H   HR  RBI   playerID    G   AB    H   HR  RBI\n",
       "99954         NaN  NaN  NaN  NaN  NaN  NaN  bernido01    4    5    1    0    2\n",
       "100215  doziebr01  157  628  148   28   77        NaN  NaN  NaN  NaN  NaN  NaN\n",
       "100488  hunteto01  139  521  125   22   81        NaN  NaN  NaN  NaN  NaN  NaN\n",
       "100564        NaN  NaN  NaN  NaN  NaN  NaN  keplema01    3    7    1    0    0\n",
       "100696  mauerjo01  158  592  157   10   66        NaN  NaN  NaN  NaN  NaN  NaN\n",
       "100729        NaN  NaN  NaN  NaN  NaN  NaN  meyeral01    2    0    0    0    0\n",
       "100915  plouftr01  152  573  140   22   86        NaN  NaN  NaN  NaN  NaN  NaN\n",
       "100917        NaN  NaN  NaN  NaN  NaN  NaN  polanjo01    4   10    3    0    1\n",
       "101164  suzukku01  131  433  104    5   50        NaN  NaN  NaN  NaN  NaN  NaN\n",
       "101189        NaN  NaN  NaN  NaN  NaN  NaN  thielca01    6    0    0    0    0"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.concat([df_min_2015[:5], \n",
    "          df_min_2015[-5:]], axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that the indices are being considered in the concatenation and row indices are being joined. This behavior can be controlled via the `join` parameter, which we'll leave [for the reader to explore](http://pandas.pydata.org/pandas-docs/version/0.17.0/merging.html#concatenating-objects).\n",
    "\n",
    "One last thing we might want to do in an operation like this is to reset the index.  To do so, we might start with ignoring the column index using the `ignore_index=True` so we can set it later to something more appropriate after the concatenation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\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",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>99954</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>bernido01</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100215</th>\n",
       "      <td>doziebr01</td>\n",
       "      <td>157</td>\n",
       "      <td>628</td>\n",
       "      <td>148</td>\n",
       "      <td>28</td>\n",
       "      <td>77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100488</th>\n",
       "      <td>hunteto01</td>\n",
       "      <td>139</td>\n",
       "      <td>521</td>\n",
       "      <td>125</td>\n",
       "      <td>22</td>\n",
       "      <td>81</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100564</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>keplema01</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100696</th>\n",
       "      <td>mauerjo01</td>\n",
       "      <td>158</td>\n",
       "      <td>592</td>\n",
       "      <td>157</td>\n",
       "      <td>10</td>\n",
       "      <td>66</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100729</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>meyeral01</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100915</th>\n",
       "      <td>plouftr01</td>\n",
       "      <td>152</td>\n",
       "      <td>573</td>\n",
       "      <td>140</td>\n",
       "      <td>22</td>\n",
       "      <td>86</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100917</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>polanjo01</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101164</th>\n",
       "      <td>suzukku01</td>\n",
       "      <td>131</td>\n",
       "      <td>433</td>\n",
       "      <td>104</td>\n",
       "      <td>5</td>\n",
       "      <td>50</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101189</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>thielca01</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               0    1    2    3    4    5          6    7    8    9    10   11\n",
       "99954         NaN  NaN  NaN  NaN  NaN  NaN  bernido01    4    5    1    0    2\n",
       "100215  doziebr01  157  628  148   28   77        NaN  NaN  NaN  NaN  NaN  NaN\n",
       "100488  hunteto01  139  521  125   22   81        NaN  NaN  NaN  NaN  NaN  NaN\n",
       "100564        NaN  NaN  NaN  NaN  NaN  NaN  keplema01    3    7    1    0    0\n",
       "100696  mauerjo01  158  592  157   10   66        NaN  NaN  NaN  NaN  NaN  NaN\n",
       "100729        NaN  NaN  NaN  NaN  NaN  NaN  meyeral01    2    0    0    0    0\n",
       "100915  plouftr01  152  573  140   22   86        NaN  NaN  NaN  NaN  NaN  NaN\n",
       "100917        NaN  NaN  NaN  NaN  NaN  NaN  polanjo01    4   10    3    0    1\n",
       "101164  suzukku01  131  433  104    5   50        NaN  NaN  NaN  NaN  NaN  NaN\n",
       "101189        NaN  NaN  NaN  NaN  NaN  NaN  thielca01    6    0    0    0    0"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.concat([df_min_2015[:5], \n",
    "          df_min_2015[-5:]], axis=1, ignore_index=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Advanced indexing\n",
    "Pandas provides the ability to build more complex indices allowing for highly flexible and natural data access.\n",
    "\n",
    "We will cover the basics of through the [`MultiIndex`](http://pandas.pydata.org/pandas-docs/version/0.17.0/advanced.html#hierarchical-indexing-multiindex) object and will the the remaining exploration to the reader."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's get the players on the Washington Nationals who played 100 or more games in 2015 and 2016."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_was = df[(df.yearID > 2014) & (df.teamID=='WAS') & (df.G > 99)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>playerID</th>\n",
       "      <th>yearID</th>\n",
       "      <th>stint</th>\n",
       "      <th>teamID</th>\n",
       "      <th>lgID</th>\n",
       "      <th>G</th>\n",
       "      <th>AB</th>\n",
       "      <th>R</th>\n",
       "      <th>H</th>\n",
       "      <th>2B</th>\n",
       "      <th>...</th>\n",
       "      <th>RBI</th>\n",
       "      <th>SB</th>\n",
       "      <th>CS</th>\n",
       "      <th>BB</th>\n",
       "      <th>SO</th>\n",
       "      <th>IBB</th>\n",
       "      <th>HBP</th>\n",
       "      <th>SH</th>\n",
       "      <th>SF</th>\n",
       "      <th>GIDP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>100193</th>\n",
       "      <td>desmoia01</td>\n",
       "      <td>2015</td>\n",
       "      <td>1</td>\n",
       "      <td>WAS</td>\n",
       "      <td>NL</td>\n",
       "      <td>156</td>\n",
       "      <td>583</td>\n",
       "      <td>69</td>\n",
       "      <td>136</td>\n",
       "      <td>27</td>\n",
       "      <td>...</td>\n",
       "      <td>62.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>45</td>\n",
       "      <td>187.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100250</th>\n",
       "      <td>escobyu01</td>\n",
       "      <td>2015</td>\n",
       "      <td>1</td>\n",
       "      <td>WAS</td>\n",
       "      <td>NL</td>\n",
       "      <td>139</td>\n",
       "      <td>535</td>\n",
       "      <td>75</td>\n",
       "      <td>168</td>\n",
       "      <td>25</td>\n",
       "      <td>...</td>\n",
       "      <td>56.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>45</td>\n",
       "      <td>70.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100251</th>\n",
       "      <td>espinda01</td>\n",
       "      <td>2015</td>\n",
       "      <td>1</td>\n",
       "      <td>WAS</td>\n",
       "      <td>NL</td>\n",
       "      <td>118</td>\n",
       "      <td>367</td>\n",
       "      <td>59</td>\n",
       "      <td>88</td>\n",
       "      <td>21</td>\n",
       "      <td>...</td>\n",
       "      <td>37.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>33</td>\n",
       "      <td>106.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100422</th>\n",
       "      <td>harpebr03</td>\n",
       "      <td>2015</td>\n",
       "      <td>1</td>\n",
       "      <td>WAS</td>\n",
       "      <td>NL</td>\n",
       "      <td>153</td>\n",
       "      <td>521</td>\n",
       "      <td>118</td>\n",
       "      <td>172</td>\n",
       "      <td>38</td>\n",
       "      <td>...</td>\n",
       "      <td>99.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>124</td>\n",
       "      <td>131.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100950</th>\n",
       "      <td>ramoswi01</td>\n",
       "      <td>2015</td>\n",
       "      <td>1</td>\n",
       "      <td>WAS</td>\n",
       "      <td>NL</td>\n",
       "      <td>128</td>\n",
       "      <td>475</td>\n",
       "      <td>41</td>\n",
       "      <td>109</td>\n",
       "      <td>16</td>\n",
       "      <td>...</td>\n",
       "      <td>68.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21</td>\n",
       "      <td>101.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         playerID  yearID  stint teamID lgID    G   AB    R    H  2B  ...   \\\n",
       "100193  desmoia01    2015      1    WAS   NL  156  583   69  136  27  ...    \n",
       "100250  escobyu01    2015      1    WAS   NL  139  535   75  168  25  ...    \n",
       "100251  espinda01    2015      1    WAS   NL  118  367   59   88  21  ...    \n",
       "100422  harpebr03    2015      1    WAS   NL  153  521  118  172  38  ...    \n",
       "100950  ramoswi01    2015      1    WAS   NL  128  475   41  109  16  ...    \n",
       "\n",
       "         RBI    SB   CS   BB     SO   IBB  HBP   SH   SF  GIDP  \n",
       "100193  62.0  13.0  5.0   45  187.0   0.0  3.0  6.0  4.0   9.0  \n",
       "100250  56.0   2.0  2.0   45   70.0   0.0  8.0  1.0  2.0  24.0  \n",
       "100251  37.0   5.0  2.0   33  106.0   5.0  6.0  3.0  3.0   6.0  \n",
       "100422  99.0   6.0  4.0  124  131.0  15.0  5.0  0.0  4.0  15.0  \n",
       "100950  68.0   0.0  0.0   21  101.0   2.0  0.0  0.0  8.0  16.0  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_was.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One obvious problem if we were to access the data here by player and year, we have to build a much more involved query and even more so if we needed to ignore data.\n",
    "\n",
    "We are going to create a _hierarchical index_ or _MultiIndex_ to solve this problem.  We'll take take liberty to drop columns we don't need (`teamID`, `ldID`, `stint`) and reorganize the index hierarchically.\n",
    "\n",
    "We will use `MultiIndex` using a _tuple_ of the data we need and provide the index first by _player_, then by _year_.  To do this we'll just grab all the player IDs and `zip` them with the year.  This will look something like this:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(('desmoia01', 2015),\n",
       " ('escobyu01', 2015),\n",
       " ('espinda01', 2015),\n",
       " ('espinda01', 2016),\n",
       " ('harpebr03', 2015),\n",
       " ('harpebr03', 2016),\n",
       " ('murphda08', 2016),\n",
       " ('ramoswi01', 2015),\n",
       " ('ramoswi01', 2016),\n",
       " ('rendoan01', 2016),\n",
       " ('reverbe01', 2016),\n",
       " ('robincl01', 2015),\n",
       " ('robincl01', 2016),\n",
       " ('taylomi02', 2015),\n",
       " ('werthja01', 2016),\n",
       " ('zimmery01', 2016))"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tuple(\n",
    "zip(\n",
    "    df_was[['playerID','yearID']].sort_values(by='playerID')['playerID'],\n",
    "    df_was[['playerID','yearID']].sort_values(by='playerID')['yearID']\n",
    ")\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MultiIndex(levels=[['desmoia01', 'escobyu01', 'espinda01', 'harpebr03', 'murphda08', 'ramoswi01', 'rendoan01', 'reverbe01', 'robincl01', 'taylomi02', 'werthja01', 'zimmery01'], [2015, 2016]],\n",
       "           labels=[[0, 1, 2, 2, 3, 3, 4, 5, 5, 6, 7, 8, 8, 9, 10, 11], [0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1]])"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create an index to be used over the data we're interested in\n",
    "idx = \\\n",
    "    pd.MultiIndex.from_tuples(\n",
    "        tuple(\n",
    "            zip(\n",
    "                df_was[['playerID','yearID']].sort_values(by='playerID')['playerID'],\n",
    "                df_was[['playerID','yearID']].sort_values(by='playerID')['yearID']))\n",
    "    )\n",
    "idx"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Notice now that we have two _levels_ in our _row axis_ (axis 0) and we will now use that index to build the hierachically indexed DataFrame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>G</th>\n",
       "      <th>AB</th>\n",
       "      <th>R</th>\n",
       "      <th>H</th>\n",
       "      <th>2B</th>\n",
       "      <th>3B</th>\n",
       "      <th>HR</th>\n",
       "      <th>RBI</th>\n",
       "      <th>SB</th>\n",
       "      <th>CS</th>\n",
       "      <th>BB</th>\n",
       "      <th>SO</th>\n",
       "      <th>IBB</th>\n",
       "      <th>HBP</th>\n",
       "      <th>SH</th>\n",
       "      <th>SF</th>\n",
       "      <th>GIDP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>desmoia01</th>\n",
       "      <th>2015</th>\n",
       "      <td>156</td>\n",
       "      <td>583</td>\n",
       "      <td>69</td>\n",
       "      <td>136</td>\n",
       "      <td>27</td>\n",
       "      <td>2</td>\n",
       "      <td>19</td>\n",
       "      <td>62.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>45</td>\n",
       "      <td>187.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>escobyu01</th>\n",
       "      <th>2015</th>\n",
       "      <td>139</td>\n",
       "      <td>535</td>\n",
       "      <td>75</td>\n",
       "      <td>168</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>56.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>45</td>\n",
       "      <td>70.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">espinda01</th>\n",
       "      <th>2015</th>\n",
       "      <td>118</td>\n",
       "      <td>367</td>\n",
       "      <td>59</td>\n",
       "      <td>88</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>37.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>33</td>\n",
       "      <td>106.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>157</td>\n",
       "      <td>516</td>\n",
       "      <td>66</td>\n",
       "      <td>108</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "      <td>72.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>54</td>\n",
       "      <td>174.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">harpebr03</th>\n",
       "      <th>2015</th>\n",
       "      <td>153</td>\n",
       "      <td>521</td>\n",
       "      <td>118</td>\n",
       "      <td>172</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>42</td>\n",
       "      <td>99.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>124</td>\n",
       "      <td>131.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>147</td>\n",
       "      <td>506</td>\n",
       "      <td>84</td>\n",
       "      <td>123</td>\n",
       "      <td>24</td>\n",
       "      <td>2</td>\n",
       "      <td>24</td>\n",
       "      <td>86.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>108</td>\n",
       "      <td>117.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>murphda08</th>\n",
       "      <th>2016</th>\n",
       "      <td>142</td>\n",
       "      <td>531</td>\n",
       "      <td>88</td>\n",
       "      <td>184</td>\n",
       "      <td>47</td>\n",
       "      <td>5</td>\n",
       "      <td>25</td>\n",
       "      <td>104.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>35</td>\n",
       "      <td>57.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">ramoswi01</th>\n",
       "      <th>2015</th>\n",
       "      <td>128</td>\n",
       "      <td>475</td>\n",
       "      <td>41</td>\n",
       "      <td>109</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>68.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21</td>\n",
       "      <td>101.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>131</td>\n",
       "      <td>482</td>\n",
       "      <td>58</td>\n",
       "      <td>148</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>22</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35</td>\n",
       "      <td>79.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rendoan01</th>\n",
       "      <th>2016</th>\n",
       "      <td>156</td>\n",
       "      <td>567</td>\n",
       "      <td>91</td>\n",
       "      <td>153</td>\n",
       "      <td>38</td>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "      <td>85.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>65</td>\n",
       "      <td>117.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>reverbe01</th>\n",
       "      <th>2016</th>\n",
       "      <td>103</td>\n",
       "      <td>350</td>\n",
       "      <td>44</td>\n",
       "      <td>76</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>24.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>18</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">robincl01</th>\n",
       "      <th>2015</th>\n",
       "      <td>126</td>\n",
       "      <td>309</td>\n",
       "      <td>44</td>\n",
       "      <td>84</td>\n",
       "      <td>15</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>37</td>\n",
       "      <td>52.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>104</td>\n",
       "      <td>196</td>\n",
       "      <td>16</td>\n",
       "      <td>46</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20</td>\n",
       "      <td>38.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>taylomi02</th>\n",
       "      <th>2015</th>\n",
       "      <td>138</td>\n",
       "      <td>472</td>\n",
       "      <td>49</td>\n",
       "      <td>108</td>\n",
       "      <td>15</td>\n",
       "      <td>2</td>\n",
       "      <td>14</td>\n",
       "      <td>63.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>35</td>\n",
       "      <td>158.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>werthja01</th>\n",
       "      <th>2016</th>\n",
       "      <td>143</td>\n",
       "      <td>525</td>\n",
       "      <td>84</td>\n",
       "      <td>128</td>\n",
       "      <td>28</td>\n",
       "      <td>0</td>\n",
       "      <td>21</td>\n",
       "      <td>69.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>71</td>\n",
       "      <td>139.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zimmery01</th>\n",
       "      <th>2016</th>\n",
       "      <td>115</td>\n",
       "      <td>427</td>\n",
       "      <td>60</td>\n",
       "      <td>93</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>46.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>29</td>\n",
       "      <td>104.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  G   AB    R    H  2B  3B  HR    RBI    SB    CS   BB     SO  \\\n",
       "desmoia01 2015  156  583   69  136  27   2  19   62.0  13.0   5.0   45  187.0   \n",
       "escobyu01 2015  139  535   75  168  25   1   9   56.0   2.0   2.0   45   70.0   \n",
       "espinda01 2015  118  367   59   88  21   1  13   37.0   5.0   2.0   33  106.0   \n",
       "          2016  157  516   66  108  15   0  24   72.0   9.0   2.0   54  174.0   \n",
       "harpebr03 2015  153  521  118  172  38   1  42   99.0   6.0   4.0  124  131.0   \n",
       "          2016  147  506   84  123  24   2  24   86.0  21.0  10.0  108  117.0   \n",
       "murphda08 2016  142  531   88  184  47   5  25  104.0   5.0   3.0   35   57.0   \n",
       "ramoswi01 2015  128  475   41  109  16   0  15   68.0   0.0   0.0   21  101.0   \n",
       "          2016  131  482   58  148  25   0  22   80.0   0.0   0.0   35   79.0   \n",
       "rendoan01 2016  156  567   91  153  38   2  20   85.0  12.0   6.0   65  117.0   \n",
       "reverbe01 2016  103  350   44   76   9   7   2   24.0  14.0   5.0   18   34.0   \n",
       "robincl01 2015  126  309   44   84  15   1  10   34.0   0.0   0.0   37   52.0   \n",
       "          2016  104  196   16   46   4   0   5   26.0   0.0   0.0   20   38.0   \n",
       "taylomi02 2015  138  472   49  108  15   2  14   63.0  16.0   3.0   35  158.0   \n",
       "werthja01 2016  143  525   84  128  28   0  21   69.0   5.0   1.0   71  139.0   \n",
       "zimmery01 2016  115  427   60   93  18   1  15   46.0   4.0   1.0   29  104.0   \n",
       "\n",
       "                 IBB   HBP   SH    SF  GIDP  \n",
       "desmoia01 2015   0.0   3.0  6.0   4.0   9.0  \n",
       "escobyu01 2015   0.0   8.0  1.0   2.0  24.0  \n",
       "espinda01 2015   5.0   6.0  3.0   3.0   6.0  \n",
       "          2016  12.0  20.0  7.0   4.0   4.0  \n",
       "harpebr03 2015  15.0   5.0  0.0   4.0  15.0  \n",
       "          2016  20.0   3.0  0.0  10.0  11.0  \n",
       "murphda08 2016  10.0   8.0  0.0   8.0   4.0  \n",
       "ramoswi01 2015   2.0   0.0  0.0   8.0  16.0  \n",
       "          2016   2.0   2.0  0.0   4.0  17.0  \n",
       "rendoan01 2016   2.0   7.0  0.0   8.0   5.0  \n",
       "reverbe01 2016   0.0   3.0  2.0   2.0  12.0  \n",
       "robincl01 2015   4.0   5.0  0.0   1.0   6.0  \n",
       "          2016   0.0   2.0  1.0   5.0   4.0  \n",
       "taylomi02 2015   9.0   1.0  1.0   2.0   5.0  \n",
       "werthja01 2016   0.0   4.0  0.0   6.0  17.0  \n",
       "zimmery01 2016   1.0   5.0  0.0   6.0  12.0  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# sorting the indices is critical for lining up the data in the tuples\n",
    "df_was = df_was.sort_values(by=['playerID']).\\\n",
    "            set_index(idx).\\\n",
    "            drop(['playerID', 'yearID', 'teamID', 'lgID', 'stint'], axis=1)\n",
    "df_was"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>G</th>\n",
       "      <th>AB</th>\n",
       "      <th>H</th>\n",
       "      <th>SO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>126</td>\n",
       "      <td>309</td>\n",
       "      <td>84</td>\n",
       "      <td>52.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>104</td>\n",
       "      <td>196</td>\n",
       "      <td>46</td>\n",
       "      <td>38.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        G   AB   H    SO\n",
       "2015  126  309  84  52.0\n",
       "2016  104  196  46  38.0"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_was.loc[('robincl01', ),['G', 'AB', 'H', 'SO']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "G     104.0\n",
       "AB    196.0\n",
       "H      46.0\n",
       "SO     38.0\n",
       "Name: (robincl01, 2016), dtype: float64"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_was.loc[('robincl01', 2016),['G', 'AB', 'H', 'SO']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the sake of the example, let's take the DataFrame for all rows of data past 2016 and create a multi-index using year, league, team and player as the groupings of the index."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>playerID</th>\n",
       "      <th>yearID</th>\n",
       "      <th>stint</th>\n",
       "      <th>teamID</th>\n",
       "      <th>lgID</th>\n",
       "      <th>G</th>\n",
       "      <th>AB</th>\n",
       "      <th>R</th>\n",
       "      <th>H</th>\n",
       "      <th>2B</th>\n",
       "      <th>...</th>\n",
       "      <th>RBI</th>\n",
       "      <th>SB</th>\n",
       "      <th>CS</th>\n",
       "      <th>BB</th>\n",
       "      <th>SO</th>\n",
       "      <th>IBB</th>\n",
       "      <th>HBP</th>\n",
       "      <th>SH</th>\n",
       "      <th>SF</th>\n",
       "      <th>GIDP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>abercda01</td>\n",
       "      <td>1871</td>\n",
       "      <td>1</td>\n",
       "      <td>TRO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>addybo01</td>\n",
       "      <td>1871</td>\n",
       "      <td>1</td>\n",
       "      <td>RC1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25</td>\n",
       "      <td>118</td>\n",
       "      <td>30</td>\n",
       "      <td>32</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>13.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>allisar01</td>\n",
       "      <td>1871</td>\n",
       "      <td>1</td>\n",
       "      <td>CL1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29</td>\n",
       "      <td>137</td>\n",
       "      <td>28</td>\n",
       "      <td>40</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>19.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>allisdo01</td>\n",
       "      <td>1871</td>\n",
       "      <td>1</td>\n",
       "      <td>WS3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27</td>\n",
       "      <td>133</td>\n",
       "      <td>28</td>\n",
       "      <td>44</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>27.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ansonca01</td>\n",
       "      <td>1871</td>\n",
       "      <td>1</td>\n",
       "      <td>RC1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25</td>\n",
       "      <td>120</td>\n",
       "      <td>29</td>\n",
       "      <td>39</td>\n",
       "      <td>11</td>\n",
       "      <td>...</td>\n",
       "      <td>16.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    playerID  yearID  stint teamID lgID   G   AB   R   H  2B  ...    RBI   SB  \\\n",
       "0  abercda01    1871      1    TRO  NaN   1    4   0   0   0  ...    0.0  0.0   \n",
       "1   addybo01    1871      1    RC1  NaN  25  118  30  32   6  ...   13.0  8.0   \n",
       "2  allisar01    1871      1    CL1  NaN  29  137  28  40   4  ...   19.0  3.0   \n",
       "3  allisdo01    1871      1    WS3  NaN  27  133  28  44  10  ...   27.0  1.0   \n",
       "4  ansonca01    1871      1    RC1  NaN  25  120  29  39  11  ...   16.0  6.0   \n",
       "\n",
       "    CS  BB   SO  IBB  HBP  SH  SF  GIDP  \n",
       "0  0.0   0  0.0  NaN  NaN NaN NaN   NaN  \n",
       "1  1.0   4  0.0  NaN  NaN NaN NaN   NaN  \n",
       "2  1.0   2  5.0  NaN  NaN NaN NaN   NaN  \n",
       "3  1.0   0  2.0  NaN  NaN NaN NaN   NaN  \n",
       "4  2.0   2  1.0  NaN  NaN NaN NaN   NaN  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((2016, 'NL', 'WAS', 'rzepcma01'),\n",
       " (2016, 'NL', 'WAS', 'scherma01'),\n",
       " (2016, 'NL', 'WAS', 'severpe01'),\n",
       " (2016, 'NL', 'WAS', 'solissa01'),\n",
       " (2016, 'NL', 'WAS', 'strasst01'),\n",
       " (2016, 'NL', 'WAS', 'taylomi02'),\n",
       " (2016, 'NL', 'WAS', 'treinbl01'),\n",
       " (2016, 'NL', 'WAS', 'turnetr01'),\n",
       " (2016, 'NL', 'WAS', 'werthja01'),\n",
       " (2016, 'NL', 'WAS', 'zimmery01'))"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_mi = df[df.yearID>2006].copy()\n",
    "idx_labels = ['yearID', 'lgID', 'teamID', 'playerID']\n",
    "\n",
    "tuple(\n",
    "    zip(\n",
    "        df_mi[idx_labels]\\\n",
    "            .sort_values(idx_labels)['yearID'],\n",
    "\n",
    "        df_mi[idx_labels]\\\n",
    "            .sort_values(idx_labels)['lgID'],\n",
    "\n",
    "        df_mi[idx_labels]\\\n",
    "            .sort_values(idx_labels)['teamID'],\n",
    "\n",
    "        df_mi[idx_labels]\\\n",
    "            .sort_values(idx_labels)['playerID']))[-10:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "idx = \\\n",
    "    pd.MultiIndex.from_tuples(\n",
    "        tuple(\n",
    "            zip(\n",
    "                df_mi[idx_labels]\\\n",
    "                    .sort_values(idx_labels)['yearID'],\n",
    "                \n",
    "                df_mi[idx_labels]\\\n",
    "                    .sort_values(idx_labels)['lgID'],\n",
    "                \n",
    "                df_mi[idx_labels]\\\n",
    "                    .sort_values(idx_labels)['teamID'],\n",
    "                \n",
    "                df_mi[idx_labels]\\\n",
    "                    .sort_values(idx_labels)['playerID']))\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_mi = df_mi.sort_values(['yearID', 'teamID']).set_index(idx)#.drop(['playerID', 'yearID', 'teamID', 'stint'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>playerID</th>\n",
       "      <th>yearID</th>\n",
       "      <th>stint</th>\n",
       "      <th>teamID</th>\n",
       "      <th>lgID</th>\n",
       "      <th>G</th>\n",
       "      <th>AB</th>\n",
       "      <th>R</th>\n",
       "      <th>H</th>\n",
       "      <th>2B</th>\n",
       "      <th>...</th>\n",
       "      <th>RBI</th>\n",
       "      <th>SB</th>\n",
       "      <th>CS</th>\n",
       "      <th>BB</th>\n",
       "      <th>SO</th>\n",
       "      <th>IBB</th>\n",
       "      <th>HBP</th>\n",
       "      <th>SH</th>\n",
       "      <th>SF</th>\n",
       "      <th>GIDP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">2007</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">AL</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">BAL</th>\n",
       "      <th>baezda01</th>\n",
       "      <td>bardebr01</td>\n",
       "      <td>2007</td>\n",
       "      <td>1</td>\n",
       "      <td>ARI</td>\n",
       "      <td>NL</td>\n",
       "      <td>8</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bakopa01</th>\n",
       "      <td>bonifem01</td>\n",
       "      <td>2007</td>\n",
       "      <td>1</td>\n",
       "      <td>ARI</td>\n",
       "      <td>NL</td>\n",
       "      <td>11</td>\n",
       "      <td>23</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bedarer01</th>\n",
       "      <td>byrneer01</td>\n",
       "      <td>2007</td>\n",
       "      <td>1</td>\n",
       "      <td>ARI</td>\n",
       "      <td>NL</td>\n",
       "      <td>160</td>\n",
       "      <td>626</td>\n",
       "      <td>103</td>\n",
       "      <td>179</td>\n",
       "      <td>30</td>\n",
       "      <td>...</td>\n",
       "      <td>83.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>57</td>\n",
       "      <td>98.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bellro01</th>\n",
       "      <td>callaal01</td>\n",
       "      <td>2007</td>\n",
       "      <td>1</td>\n",
       "      <td>ARI</td>\n",
       "      <td>NL</td>\n",
       "      <td>56</td>\n",
       "      <td>144</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>8</td>\n",
       "      <td>...</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>birkiku01</th>\n",
       "      <td>choatra01</td>\n",
       "      <td>2007</td>\n",
       "      <td>1</td>\n",
       "      <td>ARI</td>\n",
       "      <td>NL</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                        playerID  yearID  stint teamID lgID    G   AB    R  \\\n",
       "2007 AL BAL baezda01   bardebr01    2007      1    ARI   NL    8   12    0   \n",
       "            bakopa01   bonifem01    2007      1    ARI   NL   11   23    2   \n",
       "            bedarer01  byrneer01    2007      1    ARI   NL  160  626  103   \n",
       "            bellro01   callaal01    2007      1    ARI   NL   56  144   10   \n",
       "            birkiku01  choatra01    2007      1    ARI   NL    2    0    0   \n",
       "\n",
       "                         H  2B  ...    RBI    SB   CS  BB    SO  IBB   HBP  \\\n",
       "2007 AL BAL baezda01     1   0  ...    0.0   0.0  0.0   0   3.0  0.0   0.0   \n",
       "            bakopa01     5   1  ...    2.0   0.0  1.0   4   3.0  0.0   0.0   \n",
       "            bedarer01  179  30  ...   83.0  50.0  7.0  57  98.0  5.0  10.0   \n",
       "            bellro01    31   8  ...    7.0   1.0  1.0   9  14.0  0.0   1.0   \n",
       "            birkiku01    0   0  ...    0.0   0.0  0.0   0   0.0  0.0   0.0   \n",
       "\n",
       "                        SH   SF  GIDP  \n",
       "2007 AL BAL baezda01   0.0  0.0   0.0  \n",
       "            bakopa01   0.0  0.0   0.0  \n",
       "            bedarer01  1.0  4.0  12.0  \n",
       "            bellro01   1.0  1.0   8.0  \n",
       "            birkiku01  0.0  0.0   0.0  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_mi.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>playerID</th>\n",
       "      <th>yearID</th>\n",
       "      <th>stint</th>\n",
       "      <th>teamID</th>\n",
       "      <th>lgID</th>\n",
       "      <th>G</th>\n",
       "      <th>AB</th>\n",
       "      <th>R</th>\n",
       "      <th>H</th>\n",
       "      <th>2B</th>\n",
       "      <th>...</th>\n",
       "      <th>RBI</th>\n",
       "      <th>SB</th>\n",
       "      <th>CS</th>\n",
       "      <th>BB</th>\n",
       "      <th>SO</th>\n",
       "      <th>IBB</th>\n",
       "      <th>HBP</th>\n",
       "      <th>SH</th>\n",
       "      <th>SF</th>\n",
       "      <th>GIDP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">2016</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">NL</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">WAS</th>\n",
       "      <th>taylomi02</th>\n",
       "      <td>taylomi02</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>WAS</td>\n",
       "      <td>NL</td>\n",
       "      <td>76</td>\n",
       "      <td>221</td>\n",
       "      <td>28</td>\n",
       "      <td>51</td>\n",
       "      <td>11</td>\n",
       "      <td>...</td>\n",
       "      <td>16.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>14</td>\n",
       "      <td>77.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>treinbl01</th>\n",
       "      <td>treinbl01</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>WAS</td>\n",
       "      <td>NL</td>\n",
       "      <td>73</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>turnetr01</th>\n",
       "      <td>turnetr01</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>WAS</td>\n",
       "      <td>NL</td>\n",
       "      <td>73</td>\n",
       "      <td>307</td>\n",
       "      <td>53</td>\n",
       "      <td>105</td>\n",
       "      <td>14</td>\n",
       "      <td>...</td>\n",
       "      <td>40.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>14</td>\n",
       "      <td>59.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>werthja01</th>\n",
       "      <td>werthja01</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>WAS</td>\n",
       "      <td>NL</td>\n",
       "      <td>143</td>\n",
       "      <td>525</td>\n",
       "      <td>84</td>\n",
       "      <td>128</td>\n",
       "      <td>28</td>\n",
       "      <td>...</td>\n",
       "      <td>69.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>71</td>\n",
       "      <td>139.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zimmery01</th>\n",
       "      <td>zimmery01</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>WAS</td>\n",
       "      <td>NL</td>\n",
       "      <td>115</td>\n",
       "      <td>427</td>\n",
       "      <td>60</td>\n",
       "      <td>93</td>\n",
       "      <td>18</td>\n",
       "      <td>...</td>\n",
       "      <td>46.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>29</td>\n",
       "      <td>104.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                        playerID  yearID  stint teamID lgID    G   AB   R  \\\n",
       "2016 NL WAS taylomi02  taylomi02    2016      1    WAS   NL   76  221  28   \n",
       "            treinbl01  treinbl01    2016      1    WAS   NL   73    0   0   \n",
       "            turnetr01  turnetr01    2016      1    WAS   NL   73  307  53   \n",
       "            werthja01  werthja01    2016      1    WAS   NL  143  525  84   \n",
       "            zimmery01  zimmery01    2016      1    WAS   NL  115  427  60   \n",
       "\n",
       "                         H  2B  ...    RBI    SB   CS  BB     SO  IBB  HBP  \\\n",
       "2016 NL WAS taylomi02   51  11  ...   16.0  14.0  3.0  14   77.0  0.0  1.0   \n",
       "            treinbl01    0   0  ...    0.0   0.0  0.0   0    0.0  0.0  0.0   \n",
       "            turnetr01  105  14  ...   40.0  33.0  6.0  14   59.0  0.0  1.0   \n",
       "            werthja01  128  28  ...   69.0   5.0  1.0  71  139.0  0.0  4.0   \n",
       "            zimmery01   93  18  ...   46.0   4.0  1.0  29  104.0  1.0  5.0   \n",
       "\n",
       "                        SH   SF  GIDP  \n",
       "2016 NL WAS taylomi02  0.0  1.0   2.0  \n",
       "            treinbl01  0.0  0.0   0.0  \n",
       "            turnetr01  0.0  2.0   1.0  \n",
       "            werthja01  0.0  6.0  17.0  \n",
       "            zimmery01  0.0  6.0  12.0  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_mi.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can use this multi-index to out advantage, using the tuple of the index values we want and restricting the columns to just the data of interest."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>G</th>\n",
       "      <th>AB</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>accarje01</th>\n",
       "      <td>152</td>\n",
       "      <td>509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>adamsru01</th>\n",
       "      <td>62</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>banksjo01</th>\n",
       "      <td>26</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>burneaj01</th>\n",
       "      <td>8</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chacigu01</th>\n",
       "      <td>65</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             G   AB\n",
       "accarje01  152  509\n",
       "adamsru01   62    1\n",
       "banksjo01   26    5\n",
       "burneaj01    8   14\n",
       "chacigu01   65    0"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_mi.loc[(2007, 'AL', 'TOR'), ['G', 'AB']].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "&Xi;"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "gist": {
   "data": {
    "description": "nb/2_dataframe_operations.ipynb",
    "public": false
   },
   "id": ""
  },
  "kernelspec": {
   "display_name": "Python [default]",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.1"
  },
  "toc": {
   "colors": {
    "hover_highlight": "#DAA520",
    "navigate_num": "#000000",
    "navigate_text": "#333333",
    "running_highlight": "#FF0000",
    "selected_highlight": "#FFD700",
    "sidebar_border": "#EEEEEE",
    "wrapper_background": "#FFFFFF"
   },
   "moveMenuLeft": true,
   "nav_menu": {
    "height": "211px",
    "width": "252px"
   },
   "navigate_menu": true,
   "number_sections": false,
   "sideBar": true,
   "threshold": 4,
   "toc_cell": true,
   "toc_section_display": "block",
   "toc_window_display": true,
   "widenNotebook": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}