{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"http://imgur.com/1ZcRyrc.png\" style=\"float: left; margin: 20px; height: 55px\">\n",
    "\n",
    "## Homework: Plotting With Pandas\n",
    "\n",
    "_Authors: Kevin Coyle (L.A.)_\n",
    "\n",
    "---\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Welcome!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Pandas: Plotting Practice Problems\n",
    "\n",
    "In this homework, you're going to write code for a few problems. \n",
    "\n",
    "You'll practice using the following programming concepts we've covered in class:\n",
    "* Plotting with Pandas.\n",
    "* Determining best plot given a data set."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### #1. Import Pandas, `Matplotlib.pyplot`, and NumPy. Don't forget the line that makes `matplotlib` render in a Jupyter Notebook!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "# Set the plots to display in the Jupyter Notebook.\n",
    "%matplotlib inline\n",
    "from IPython.display import HTML\n",
    "\n",
    "# Increase the default figure and font sizes for easier viewing.\n",
    "plt.rcParams['figure.figsize'] = (8, 6)\n",
    "plt.rcParams['font.size'] = 14"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### #2. Read in the NBA players `csv` into a variable called `nba_df`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is a data set of NBA players from 2015. The filename is `NBA_players_2015.csv.`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "nba_df = pd.read_csv('NBA_players_2015.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### #3. Look at the first five rows of the data set."
   ]
  },
  {
   "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>season_end</th>\n",
       "      <th>player</th>\n",
       "      <th>pos</th>\n",
       "      <th>age</th>\n",
       "      <th>bref_team_id</th>\n",
       "      <th>g</th>\n",
       "      <th>gs</th>\n",
       "      <th>mp</th>\n",
       "      <th>fg</th>\n",
       "      <th>fga</th>\n",
       "      <th>...</th>\n",
       "      <th>TOV%</th>\n",
       "      <th>USG%</th>\n",
       "      <th>OWS</th>\n",
       "      <th>DWS</th>\n",
       "      <th>WS</th>\n",
       "      <th>WS/48</th>\n",
       "      <th>OBPM</th>\n",
       "      <th>DBPM</th>\n",
       "      <th>BPM</th>\n",
       "      <th>VORP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015</td>\n",
       "      <td>Quincy Acy</td>\n",
       "      <td>F</td>\n",
       "      <td>24</td>\n",
       "      <td>NYK</td>\n",
       "      <td>52</td>\n",
       "      <td>21</td>\n",
       "      <td>19.2</td>\n",
       "      <td>2.2</td>\n",
       "      <td>4.6</td>\n",
       "      <td>...</td>\n",
       "      <td>15.1</td>\n",
       "      <td>14.7</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.050</td>\n",
       "      <td>-2.6</td>\n",
       "      <td>-0.7</td>\n",
       "      <td>-3.4</td>\n",
       "      <td>-0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015</td>\n",
       "      <td>Jordan Adams</td>\n",
       "      <td>G</td>\n",
       "      <td>20</td>\n",
       "      <td>MEM</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>7.3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.1</td>\n",
       "      <td>...</td>\n",
       "      <td>15.9</td>\n",
       "      <td>17.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.076</td>\n",
       "      <td>-2.3</td>\n",
       "      <td>1.8</td>\n",
       "      <td>-0.5</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015</td>\n",
       "      <td>Steven Adams</td>\n",
       "      <td>C</td>\n",
       "      <td>21</td>\n",
       "      <td>OKC</td>\n",
       "      <td>51</td>\n",
       "      <td>50</td>\n",
       "      <td>24.2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.5</td>\n",
       "      <td>...</td>\n",
       "      <td>19.2</td>\n",
       "      <td>14.8</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.8</td>\n",
       "      <td>0.109</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-0.1</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015</td>\n",
       "      <td>Jeff Adrien</td>\n",
       "      <td>F</td>\n",
       "      <td>28</td>\n",
       "      <td>MIN</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>12.6</td>\n",
       "      <td>1.1</td>\n",
       "      <td>2.6</td>\n",
       "      <td>...</td>\n",
       "      <td>12.9</td>\n",
       "      <td>14.1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.093</td>\n",
       "      <td>-2.6</td>\n",
       "      <td>0.8</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015</td>\n",
       "      <td>Arron Afflalo</td>\n",
       "      <td>G</td>\n",
       "      <td>29</td>\n",
       "      <td>TOT</td>\n",
       "      <td>60</td>\n",
       "      <td>54</td>\n",
       "      <td>32.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>11.8</td>\n",
       "      <td>...</td>\n",
       "      <td>10.9</td>\n",
       "      <td>19.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.7</td>\n",
       "      <td>2.1</td>\n",
       "      <td>0.051</td>\n",
       "      <td>-0.2</td>\n",
       "      <td>-1.4</td>\n",
       "      <td>-1.6</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 49 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   season_end         player pos  age bref_team_id   g  gs    mp   fg   fga  \\\n",
       "0        2015     Quincy Acy   F   24          NYK  52  21  19.2  2.2   4.6   \n",
       "1        2015   Jordan Adams   G   20          MEM  18   0   7.3  1.0   2.1   \n",
       "2        2015   Steven Adams   C   21          OKC  51  50  24.2  3.0   5.5   \n",
       "3        2015    Jeff Adrien   F   28          MIN  17   0  12.6  1.1   2.6   \n",
       "4        2015  Arron Afflalo   G   29          TOT  60  54  32.5  5.0  11.8   \n",
       "\n",
       "   ...   TOV%  USG%  OWS  DWS   WS  WS/48  OBPM  DBPM  BPM  VORP  \n",
       "0  ...   15.1  14.7  0.6  0.5  1.0  0.050  -2.6  -0.7 -3.4  -0.3  \n",
       "1  ...   15.9  17.7  0.0  0.2  0.2  0.076  -2.3   1.8 -0.5   0.0  \n",
       "2  ...   19.2  14.8  1.0  1.8  2.8  0.109  -2.0   2.0 -0.1   0.6  \n",
       "3  ...   12.9  14.1  0.2  0.2  0.4  0.093  -2.6   0.8 -1.8   0.0  \n",
       "4  ...   10.9  19.6  1.4  0.7  2.1  0.051  -0.2  -1.4 -1.6   0.2  \n",
       "\n",
       "[5 rows x 49 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['season_end', 'player', 'pos', 'age', 'bref_team_id', 'g', 'gs', 'mp',\n",
       "       'fg', 'fga', 'fg_', 'x3p', 'x3pa', 'x3p_', 'x2p', 'x2pa', 'x2p_', 'ft',\n",
       "       'fta', 'ft_', 'orb', 'drb', 'trb', 'ast', 'stl', 'blk', 'tov', 'pf',\n",
       "       'pts', 'G', 'MP', 'PER', 'TS%', '3PAr', 'FTr', 'TRB%', 'AST%', 'STL%',\n",
       "       'BLK%', 'TOV%', 'USG%', 'OWS', 'DWS', 'WS', 'WS/48', 'OBPM', 'DBPM',\n",
       "       'BPM', 'VORP'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba_df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### #4. Create a histogram of the `age` column."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x117df68d0>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x117fe3b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nba_df.age.plot(kind='hist')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### #5. Create a histogram of the `age` column, but change the number of bins to `20`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x118160630>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x118171358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nba_df.age.plot(kind='hist', bins=20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### #6. Discuss the difference in the two plots and the implications."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "While skewed, the plot with fewer bins leads one to believe that the bin to the right of the highest-numbered `age` bin is the second largest. The second-largest bin occurs right after 22 and before 25."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### #7. Rename the `position` column (`'pos'`) with the following: `'C':5`, `'G':1`, and `'F':3`. Then create a scatter matrix plot with the `'pos'`, `'pts'`, `'age'`, and `'fg'` columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "nba_df['pos'] = nba_df.pos.map({'C':5, 'G':1, 'F':3})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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D1c9vAr4spfxvIcRO4JELnTBFURRFURZvMTn2DNBS/fxq4EfVzw4QvJCJUhRFURTl/Cwm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\nidjZPDi16toAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x118e6c748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.plotting.scatter_matrix(nba_df[['pos', 'pts', 'age', 'fg']]);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### #8. Plot the number of guards, centers, and forwards in this data set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1191e8668>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x119779dd8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nba_df.pos.value_counts().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The end!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Great job!"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
