Cybermetric.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>YEAR</th>\n",
       "      <th>PRIZE MONEY</th>\n",
       "      <th>SINGLES TITLES</th>\n",
       "      <th>DOUBLES TITLES</th>\n",
       "      <th>SINGLES W-L</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019</td>\n",
       "      <td>11182355</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>53-9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018</td>\n",
       "      <td>15967184</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>53-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017</td>\n",
       "      <td>2116524</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>32-8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016</td>\n",
       "      <td>14138824</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>65-9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015</td>\n",
       "      <td>16760145</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>78-5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2014</td>\n",
       "      <td>14269462</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>61-8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2013</td>\n",
       "      <td>12447947</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>74-9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2012</td>\n",
       "      <td>12803737</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>75-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2011</td>\n",
       "      <td>12619803</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>70-6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2010</td>\n",
       "      <td>4278857</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>61-18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2009</td>\n",
       "      <td>5476471</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>78-19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2008</td>\n",
       "      <td>5689077</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>64-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2007</td>\n",
       "      <td>3313700</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>68-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Career</td>\n",
       "      <td>136954944</td>\n",
       "      <td>77</td>\n",
       "      <td>1</td>\n",
       "      <td>889-185</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      YEAR  PRIZE MONEY  SINGLES TITLES  DOUBLES TITLES SINGLES W-L\n",
       "0     2019     11182355               5               0        53-9\n",
       "1     2018     15967184               4               0       53-12\n",
       "2     2017      2116524               2               0        32-8\n",
       "3     2016     14138824               7               0        65-9\n",
       "4     2015     16760145              11               0        78-5\n",
       "5     2014     14269462               7               0        61-8\n",
       "6     2013     12447947               7               0        74-9\n",
       "7     2012     12803737               6               0       75-12\n",
       "8     2011     12619803              10               0        70-6\n",
       "9     2010      4278857               2               1       61-18\n",
       "10    2009      5476471               5               0       78-19\n",
       "11    2008      5689077               4               0       64-17\n",
       "12    2007      3313700               5               0       68-15\n",
       "13  Career    136954944              77               1     889-185"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "xls = pd.ExcelFile('STAT.xlsx')\n",
    "\n",
    "novak = pd.read_excel(xls, 'DJOKOVIC')\n",
    "novak"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/Mavis/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:10: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  # Remove the CWD from sys.path while we load stuff.\n",
      "/Users/Mavis/anaconda3/lib/python3.7/site-packages/pandas/core/frame.py:3940: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  errors=errors)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PRIZE MONEY</th>\n",
       "      <th>SINGLES TITLES</th>\n",
       "      <th>DOUBLES TITLES</th>\n",
       "      <th>SINGLES_W</th>\n",
       "      <th>SINGLES_L</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YEAR</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>3313700</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>68</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>5689077</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>64</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>5476471</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>78</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>4278857</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>61</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>12619803</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>70</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>12803737</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>75</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>12447947</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>74</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>14269462</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>61</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>16760145</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>78</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>14138824</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>65</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>2116524</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>32</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018</th>\n",
       "      <td>15967184</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>53</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019</th>\n",
       "      <td>11182355</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>53</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      PRIZE MONEY  SINGLES TITLES  DOUBLES TITLES  SINGLES_W  SINGLES_L\n",
       "YEAR                                                                   \n",
       "2007      3313700               5               0         68         15\n",
       "2008      5689077               4               0         64         17\n",
       "2009      5476471               5               0         78         19\n",
       "2010      4278857               2               1         61         18\n",
       "2011     12619803              10               0         70          6\n",
       "2012     12803737               6               0         75         12\n",
       "2013     12447947               7               0         74          9\n",
       "2014     14269462               7               0         61          8\n",
       "2015     16760145              11               0         78          5\n",
       "2016     14138824               7               0         65          9\n",
       "2017      2116524               2               0         32          8\n",
       "2018     15967184               4               0         53         12\n",
       "2019     11182355               5               0         53          9"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def get_w_l(df):\n",
    "    SINGLES_W = []\n",
    "    SINGLES_L = []\n",
    "    for i in df['SINGLES W-L']:\n",
    "        SINGLES_W.append(int(i.split(\"-\")[0]))\n",
    "        SINGLES_L.append(int(i.split(\"-\")[1]))\n",
    "    return SINGLES_W, SINGLES_L\n",
    "\n",
    "novak = novak.iloc[:-1,]\n",
    "novak['SINGLES_W'], novak['SINGLES_L'] = get_w_l(novak)\n",
    "novak.drop(['SINGLES W-L'], axis = 1, inplace=True)\n",
    "\n",
    "novak.set_index('YEAR', inplace = True)\n",
    "novak.index = pd.to_datetime(novak.index, format = \"%Y\")\n",
    "novak.index = novak.index.year\n",
    "\n",
    "#novak = pd.to_numeric(novak, errors = \"coerce\")\n",
    "novak = novak.astype('int')\n",
    "\n",
    "novak = novak[::-1]\n",
    "novak"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import style\n",
    "#import seaborn as sns\n",
    "#sns.set(style = 'darkgrid')\n",
    "style.use('fivethirtyeight')\n",
    "\n",
    "fig, ax1 = plt.subplots(figsize = (10, 8))\n",
    "#y = [3, 6, 5.5, 9, 12, 12, 12, 14, 16.5, 14, 2, 16, 11]\n",
    "\n",
    "color = 'tab:red'\n",
    "ax1.set_xlabel('Year')\n",
    "ax1.set_ylabel('PRIZE MONEY (in 10,000,000s)', color=color)\n",
    "ax1.bar(novak.index, novak['PRIZE MONEY'], color=color)\n",
    "ax1.set_yticks([3000000, 6000000, 9000000, 12000000, 15000000])\n",
    "\n",
    "rects = ax1.patches\n",
    "\n",
    "# Make some labels.\n",
    "labels = [\"~3M\", \"~6M\", \"~5.5M\", \"~4M\", \"~12M\", \"~12.1M\", \"~12M\", \"~14M\", \"~16.5M\", \"~14M\",\n",
    "          \"~2M\", \"~16M\", \"~11M\"]\n",
    "\n",
    "for rect, label in zip(rects, labels):\n",
    "    height = rect.get_height()\n",
    "    ax1.text(rect.get_x() + rect.get_width() / 2, height + 5, label,\n",
    "            ha='center', va='bottom')\n",
    "    \n",
    "ax2 = ax1.twinx()  # instantiate a second axes that shares the same x-axis\n",
    "\n",
    "color = 'tab:blue'\n",
    "ax2.set_ylabel('SINGLES TITLES', color=color)  # we already handled the x-label with ax1\n",
    "ax2.plot(novak.index, novak['SINGLES TITLES'], color=color)\n",
    "#ax2.grid(False)\n",
    "\n",
    "#ax2.tick_params(axis='y', labelcolor=color)\n",
    "plt.title(\"Prize Money and Singles Titles of Novak Djokovic from 2007-2019\", loc = \"right\")\n",
    "fig.tight_layout()  # otherwise the right y-label is slightly clipped\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Djokovic</th>\n",
       "      <th>Federer</th>\n",
       "      <th>Nadal</th>\n",
       "      <th>Nishikori</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YEAR</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>10</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>11</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019</th>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Djokovic  Federer  Nadal  Nishikori\n",
       "YEAR                                     \n",
       "2007         5        7      6          0\n",
       "2008         4        4      8          1\n",
       "2009         5        4      5          0\n",
       "2010         2        5      7          0\n",
       "2011        10        4      3          0\n",
       "2012         6        6      4          1\n",
       "2013         7        1     10          1\n",
       "2014         7        5      4          4\n",
       "2015        11        6      3          3\n",
       "2016         7        0      2          1\n",
       "2017         2        7      6          0\n",
       "2018         4        4      5          0\n",
       "2019         5        4      4          1"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#novak['name'] = 'Djokovic'\n",
    "#federer['name'] = 'federer'\n",
    "#nadal['name'] = 'nadal'\n",
    "#nishikori['name'] = 'nishikori'\n",
    "\n",
    "df = pd.concat([novak[['SINGLES TITLES']], federer[['SINGLES TITLES']], nadal[['SINGLES TITLES']], nishikori[['SINGLES TITLES']]], axis =1)\n",
    "df.columns = ['Djokovic', 'Federer', 'Nadal', 'Nishikori']\n",
    "df.to_csv('all.csv')\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11ace14a8>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(kind='bar', figsize = (15, 8), title=\"SINGLES TITLES OF DJOKOVIC AND HIS OPPONENTS FROM 2007-2019\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PRIZE MONEY</th>\n",
       "      <th>SINGLES TITLES</th>\n",
       "      <th>DOUBLES TITLES</th>\n",
       "      <th>SINGLES_W</th>\n",
       "      <th>SINGLES_L</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YEAR</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>7405620</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>63</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>5886879</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>66</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>8768110</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>61</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>7698289</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>65</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>6369576</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>64</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>8584842</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>71</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>3203637</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>9393122</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>73</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>6634017</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>59</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>1527269</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>21</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>13054856</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>52</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018</th>\n",
       "      <td>8629233</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>48</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019</th>\n",
       "      <td>6989975</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>51</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      PRIZE MONEY  SINGLES TITLES  DOUBLES TITLES  SINGLES_W  SINGLES_L\n",
       "YEAR                                                                   \n",
       "2007      7405620               7               0         63          7\n",
       "2008      5886879               4               1         66         15\n",
       "2009      8768110               4               0         61         12\n",
       "2010      7698289               5               0         65         13\n",
       "2011      6369576               4               0         64         12\n",
       "2012      8584842               6               0         71         12\n",
       "2013      3203637               1               0         45         17\n",
       "2014      9393122               5               0         73         12\n",
       "2015      6634017               6               0         59         10\n",
       "2016      1527269               0               0         21          7\n",
       "2017     13054856               7               0         52          5\n",
       "2018      8629233               4               0         48         10\n",
       "2019      6989975               4               0         51          8"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "federer = pd.read_excel(xls, 'FEDERER')\n",
    "\n",
    "federer = federer.iloc[:-1,]\n",
    "federer['SINGLES_W'], federer['SINGLES_L'] = get_w_l(federer)\n",
    "federer.drop(['SINGLES W-L'], axis = 1, inplace=True)\n",
    "\n",
    "federer.set_index('YEAR', inplace = True)\n",
    "federer.index = pd.to_datetime(federer.index, format = \"%Y\").year\n",
    "\n",
    "federer = federer.astype('int')\n",
    "\n",
    "federer = federer[::-1]\n",
    "federer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PRIZE MONEY</th>\n",
       "      <th>SINGLES TITLES</th>\n",
       "      <th>DOUBLES TITLES</th>\n",
       "      <th>SINGLES_W</th>\n",
       "      <th>SINGLES_L</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YEAR</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>4395185</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>64</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>6773773</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>82</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>6466515</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>66</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>7711998</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>67</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>7668214</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>69</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>4997448</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>42</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>14570935</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>75</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>6746473</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>48</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>3275888</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>58</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>2836500</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>39</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>15864000</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>67</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018</th>\n",
       "      <td>8663347</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019</th>\n",
       "      <td>12214586</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>51</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      PRIZE MONEY  SINGLES TITLES  DOUBLES TITLES  SINGLES_W  SINGLES_L\n",
       "YEAR                                                                   \n",
       "2007      4395185               6               0         64         12\n",
       "2008      6773773               8               1         82         11\n",
       "2009      6466515               5               1         66         14\n",
       "2010      7711998               7               1         67          9\n",
       "2011      7668214               3               1         69         15\n",
       "2012      4997448               4               1         42          6\n",
       "2013     14570935              10               0         75          7\n",
       "2014      6746473               4               0         48         11\n",
       "2015      3275888               3               1         58         19\n",
       "2016      2836500               2               2         39         14\n",
       "2017     15864000               6               0         67         11\n",
       "2018      8663347               5               0         45          4\n",
       "2019     12214586               4               0         51          6"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nadal = pd.read_excel(xls, 'NADAL')\n",
    "\n",
    "nadal = nadal.iloc[:-1,]\n",
    "nadal['SINGLES_W'], nadal['SINGLES_L'] = get_w_l(nadal)\n",
    "nadal.drop(['SINGLES W-L'], axis = 1, inplace=True)\n",
    "\n",
    "nadal.set_index('YEAR', inplace = True)\n",
    "nadal.index = pd.to_datetime(nadal.index, format = \"%Y\").year\n",
    "\n",
    "nadal = nadal.astype('int')\n",
    "nadal = nadal[::-1]\n",
    "nadal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PRIZE MONEY</th>\n",
       "      <th>SINGLES TITLES</th>\n",
       "      <th>DOUBLES TITLES</th>\n",
       "      <th>SINGLES_W</th>\n",
       "      <th>SINGLES_L</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YEAR</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>34838</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>303269</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>51138</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>171394</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>776621</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>36</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>1044847</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>37</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>1180923</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>36</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>4439218</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>54</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>2712055</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>53</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>4806748</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>58</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>1491755</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>30</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018</th>\n",
       "      <td>4049255</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>43</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019</th>\n",
       "      <td>2173244</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>29</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      PRIZE MONEY  SINGLES TITLES  DOUBLES TITLES  SINGLES_W  SINGLES_L\n",
       "YEAR                                                                   \n",
       "2007        34838               0               0          3          3\n",
       "2008       303269               1               0         16         12\n",
       "2009        51138               0               0          4          6\n",
       "2010       171394               0               0          3          9\n",
       "2011       776621               0               0         36         22\n",
       "2012      1044847               1               0         37         18\n",
       "2013      1180923               1               0         36         19\n",
       "2014      4439218               4               0         54         14\n",
       "2015      2712055               3               0         53         14\n",
       "2016      4806748               1               0         58         21\n",
       "2017      1491755               0               0         30         13\n",
       "2018      4049255               0               0         43         21\n",
       "2019      2173244               1               0         29         14"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nishikori = pd.read_excel(xls, 'NISHIKORI')\n",
    "\n",
    "nishikori = nishikori.iloc[:-1,]\n",
    "nishikori['SINGLES_W'], nishikori['SINGLES_L'] = get_w_l(nishikori)\n",
    "nishikori.drop(['SINGLES W-L'], axis = 1, inplace=True)\n",
    "\n",
    "nishikori.set_index('YEAR', inplace = True)\n",
    "nishikori.index = pd.to_datetime(nishikori.index, format = \"%Y\").year\n",
    "\n",
    "nishikori = nishikori.astype('int')\n",
    "\n",
    "nishikori = nishikori[::-1]\n",
    "nishikori"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11b49c4a8>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "style.use('seaborn')\n",
    "df2 = pd.concat([novak[['PRIZE MONEY']], federer[['PRIZE MONEY']], nadal[['PRIZE MONEY']], nishikori[['PRIZE MONEY']]], axis =1)\n",
    "df2.columns = ['Djokovic', 'Federer', 'Nadal', 'Nishikori']\n",
    "df2\n",
    "df.plot(figsize = (15, 8), title=\"PRIZE MONEY OF DJOKOVIC AND HIS OPPONENTS FROM 2007-2019\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0.98, 'SINGLES TITLES AND PRIZE MONEY OF DJOKOVIC AND HIS OPPONENTS FROM 2007-2019')"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "sns.set(style = 'darkgrid')\n",
    "fig, axes = plt.subplots(2, 1)\n",
    "fig = plt.gcf()\n",
    "fig.set_size_inches(15, 10)\n",
    "df.plot.bar(ax=axes[0])\n",
    "df2.plot(ax=axes[1], sharex=axes[0])\n",
    "plt.suptitle('SINGLES TITLES AND PRIZE MONEY OF DJOKOVIC AND HIS OPPONENTS FROM 2007-2019', size = 18)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No handles with labels found to put in legend.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0.98, 'SINGLES TITLES AND PRIZE MONEY OF DJOKOVIC AND HIS OPPONENTS FROM 2007-2019')"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(style = 'darkgrid')\n",
    "\n",
    "plt.figure(figsize = (20, 10))\n",
    "ax1 = plt.subplot2grid((6, 1), (0, 0), rowspan=3, colspan=1)\n",
    "ax2 = plt.subplot2grid((6, 1), (3, 0), rowspan=3, colspan=1, sharex = ax1)\n",
    "\n",
    "\n",
    "ax1.bar(df.index, df['Djokovic'])\n",
    "ax1.bar(df.index, df['Federer'])\n",
    "ax1.bar(df.index, df['Nadal'])\n",
    "ax1.bar(df.index, df['Nishikori'])\n",
    "ax2.plot(df2.index, df['Djokovic'])\n",
    "ax2.plot(df2.index, df['Federer'])\n",
    "ax2.plot(df2.index, df['Nadal'])\n",
    "ax2.plot(df2.index, df['Nishikori'])\n",
    "\n",
    "#ax2.plot([],[], color='r', alpha=0.8, label='TSLA')\n",
    "#ax2.plot([],[], color='g', alpha=0.8, label='NIO')\n",
    "\n",
    "# Hide xaxis\n",
    "plt.setp(ax1.get_xticklabels(), visible=False)\n",
    "#plt.setp(ax2.get_xticklabels(), visible=False)\n",
    "\n",
    "plt.xticks(rotation = 45)\n",
    "\n",
    "ax1.legend()\n",
    "ax2.legend()\n",
    "\n",
    "\n",
    "plt.suptitle('SINGLES TITLES AND PRIZE MONEY OF DJOKOVIC AND HIS OPPONENTS FROM 2007-2019', fontsize=22)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1197524a8>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "novak['PRIZE MONEY'].corr(novak['SINGLES TITLES'])\n",
    "\n",
    "plt.scatter(novak['SINGLES TITLES'], novak['PRIZE MONEY'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>       <td>PRIZE MONEY</td>   <th>  R-squared:         </th> <td>   0.498</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.397</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   4.956</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Thu, 07 Nov 2019</td> <th>  Prob (F-statistic):</th>  <td>0.0319</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>01:33:42</td>     <th>  Log-Likelihood:    </th> <td> -214.34</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td>    13</td>      <th>  AIC:               </th> <td>   434.7</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td>    10</td>      <th>  BIC:               </th> <td>   436.4</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>     2</td>      <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "         <td></td>           <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>const</th>          <td> 2.603e+06</td> <td> 3.11e+06</td> <td>    0.838</td> <td> 0.421</td> <td>-4.32e+06</td> <td> 9.52e+06</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>SINGLES TITLES</th> <td> 1.309e+06</td> <td> 4.74e+05</td> <td>    2.761</td> <td> 0.020</td> <td> 2.53e+05</td> <td> 2.37e+06</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>DOUBLES TITLES</th> <td>-9.421e+05</td> <td> 4.58e+06</td> <td>   -0.206</td> <td> 0.841</td> <td>-1.12e+07</td> <td> 9.27e+06</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td> 1.563</td> <th>  Durbin-Watson:     </th> <td>   1.769</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th> <td> 0.458</td> <th>  Jarque-Bera (JB):  </th> <td>   0.515</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>          <td> 0.486</td> <th>  Prob(JB):          </th> <td>   0.773</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>      <td> 3.086</td> <th>  Cond. No.          </th> <td>    28.5</td>\n",
       "</tr>\n",
       "</table><br/><br/>Warnings:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:            PRIZE MONEY   R-squared:                       0.498\n",
       "Model:                            OLS   Adj. R-squared:                  0.397\n",
       "Method:                 Least Squares   F-statistic:                     4.956\n",
       "Date:                Thu, 07 Nov 2019   Prob (F-statistic):             0.0319\n",
       "Time:                        01:33:42   Log-Likelihood:                -214.34\n",
       "No. Observations:                  13   AIC:                             434.7\n",
       "Df Residuals:                      10   BIC:                             436.4\n",
       "Df Model:                           2                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "==================================================================================\n",
       "                     coef    std err          t      P>|t|      [0.025      0.975]\n",
       "----------------------------------------------------------------------------------\n",
       "const           2.603e+06   3.11e+06      0.838      0.421   -4.32e+06    9.52e+06\n",
       "SINGLES TITLES  1.309e+06   4.74e+05      2.761      0.020    2.53e+05    2.37e+06\n",
       "DOUBLES TITLES -9.421e+05   4.58e+06     -0.206      0.841   -1.12e+07    9.27e+06\n",
       "==============================================================================\n",
       "Omnibus:                        1.563   Durbin-Watson:                   1.769\n",
       "Prob(Omnibus):                  0.458   Jarque-Bera (JB):                0.515\n",
       "Skew:                           0.486   Prob(JB):                        0.773\n",
       "Kurtosis:                       3.086   Cond. No.                         28.5\n",
       "==============================================================================\n",
       "\n",
       "Warnings:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "\"\"\""
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import statsmodels.api as sm\n",
    "Y = novak['PRIZE MONEY']\n",
    "X = novak[['SINGLES TITLES', 'DOUBLES TITLES']]\n",
    "X = sm.add_constant(X)\n",
    "model = sm.OLS(Y,X)\n",
    "results = model.fit()\n",
    "results.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>       <td>PRIZE MONEY</td>   <th>  R-squared:         </th> <td>   0.496</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.450</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   10.81</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Thu, 07 Nov 2019</td> <th>  Prob (F-statistic):</th>  <td>0.00723</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>01:48:54</td>     <th>  Log-Likelihood:    </th> <td> -214.37</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td>    13</td>      <th>  AIC:               </th> <td>   432.7</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td>    11</td>      <th>  BIC:               </th> <td>   433.9</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>     1</td>      <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "         <td></td>           <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>const</th>          <td> 2.293e+06</td> <td> 2.59e+06</td> <td>    0.884</td> <td> 0.396</td> <td>-3.42e+06</td> <td>    8e+06</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>SINGLES TITLES</th> <td>  1.35e+06</td> <td> 4.11e+05</td> <td>    3.288</td> <td> 0.007</td> <td> 4.46e+05</td> <td> 2.25e+06</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td> 2.043</td> <th>  Durbin-Watson:     </th> <td>   1.711</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th> <td> 0.360</td> <th>  Jarque-Bera (JB):  </th> <td>   0.731</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>          <td> 0.575</td> <th>  Prob(JB):          </th> <td>   0.694</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>      <td> 3.168</td> <th>  Cond. No.          </th> <td>    15.8</td>\n",
       "</tr>\n",
       "</table><br/><br/>Warnings:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:            PRIZE MONEY   R-squared:                       0.496\n",
       "Model:                            OLS   Adj. R-squared:                  0.450\n",
       "Method:                 Least Squares   F-statistic:                     10.81\n",
       "Date:                Thu, 07 Nov 2019   Prob (F-statistic):            0.00723\n",
       "Time:                        01:48:54   Log-Likelihood:                -214.37\n",
       "No. Observations:                  13   AIC:                             432.7\n",
       "Df Residuals:                      11   BIC:                             433.9\n",
       "Df Model:                           1                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "==================================================================================\n",
       "                     coef    std err          t      P>|t|      [0.025      0.975]\n",
       "----------------------------------------------------------------------------------\n",
       "const           2.293e+06   2.59e+06      0.884      0.396   -3.42e+06       8e+06\n",
       "SINGLES TITLES   1.35e+06   4.11e+05      3.288      0.007    4.46e+05    2.25e+06\n",
       "==============================================================================\n",
       "Omnibus:                        2.043   Durbin-Watson:                   1.711\n",
       "Prob(Omnibus):                  0.360   Jarque-Bera (JB):                0.731\n",
       "Skew:                           0.575   Prob(JB):                        0.694\n",
       "Kurtosis:                       3.168   Cond. No.                         15.8\n",
       "==============================================================================\n",
       "\n",
       "Warnings:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "\"\"\""
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import statsmodels.api as sm\n",
    "Y = novak['PRIZE MONEY']\n",
    "X = novak['SINGLES TITLES']\n",
    "X = sm.add_constant(X)\n",
    "model2 = sm.OLS(Y,X)\n",
    "results2 = model2.fit()\n",
    "results2.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "shapes (10,1) and (2,) not aligned: 1 (dim 1) != 2 (dim 0)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-60-13eb565d4208>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      9\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m \u001b[0mdf_predict\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx_pred\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'SINGLES TITLES'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 11\u001b[0;31m \u001b[0my_pred\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mresults2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpredict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf_predict\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     12\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx_pred\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_pred\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolor\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'r'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     13\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/statsmodels/base/model.py\u001b[0m in \u001b[0;36mpredict\u001b[0;34m(self, exog, transform, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1036\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1037\u001b[0m         predict_results = self.model.predict(self.params, exog, *args,\n\u001b[0;32m-> 1038\u001b[0;31m                                              **kwargs)\n\u001b[0m\u001b[1;32m   1039\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1040\u001b[0m         if exog_index is not None and not hasattr(predict_results,\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/statsmodels/regression/linear_model.py\u001b[0m in \u001b[0;36mpredict\u001b[0;34m(self, params, exog)\u001b[0m\n\u001b[1;32m    362\u001b[0m             \u001b[0mexog\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexog\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    363\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 364\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexog\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mparams\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    365\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    366\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mget_distribution\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mparams\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mscale\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexog\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdist_class\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: shapes (10,1) and (2,) not aligned: 1 (dim 1) != 2 (dim 0)"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "plt.figure(figsize = (10, 8))\n",
    "\n",
    "plt.scatter(novak['SINGLES TITLES'], novak['PRIZE MONEY'], color = 'b')\n",
    "\n",
    "x_pred = np.linspace(novak['SINGLES TITLES'].min(), novak['SINGLES TITLES'].max(), 10)\n",
    "\n",
    "#x_pred2 = sm.add_constant(x_pred)\n",
    "\n",
    "df_predict = pd.DataFrame(x_pred, columns=['SINGLES TITLES'])\n",
    "y_pred = results2.predict(df_predict)\n",
    "plt.plot(x_pred, y_pred, color = 'r')\n",
    "\n",
    "plt.grid(True)\n",
    "\n",
    "plt.xlabel('SINGLES TITLES')\n",
    "plt.ylabel('PRIZE MONEY')\n",
    "\n",
    "plt.title('NOVAK PRIZE MONEY AND SINGLES TITLES', size = 18)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "const             2.293406e+06\n",
       "SINGLES TITLES    1.349997e+06\n",
       "dtype: float64"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results2.params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SINGLES TITLES</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>8.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>11.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   SINGLES TITLES\n",
       "0            2.00\n",
       "1            4.25\n",
       "2            6.50\n",
       "3            8.75\n",
       "4           11.00"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_predict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}