Example.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('datasets/season2019week15.csv', index_col=0)"
   ]
  },
  {
   "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>Player</th>\n",
       "      <th>Pos</th>\n",
       "      <th>Tm</th>\n",
       "      <th>PassingYds</th>\n",
       "      <th>PassingTD</th>\n",
       "      <th>Int</th>\n",
       "      <th>PassingAtt</th>\n",
       "      <th>Cmp</th>\n",
       "      <th>Rec</th>\n",
       "      <th>Tgt</th>\n",
       "      <th>ReceivingYds</th>\n",
       "      <th>ReceivingTD</th>\n",
       "      <th>RushingAtt</th>\n",
       "      <th>RushingYds</th>\n",
       "      <th>RushingTD</th>\n",
       "      <th>FantasyPoints</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>104</td>\n",
       "      <td>Julio Jones</td>\n",
       "      <td>WR</td>\n",
       "      <td>ATL</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>20</td>\n",
       "      <td>134</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>113</td>\n",
       "      <td>Kenyan Drake</td>\n",
       "      <td>RB</td>\n",
       "      <td>ARI</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>22</td>\n",
       "      <td>137</td>\n",
       "      <td>4</td>\n",
       "      <td>37.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30</td>\n",
       "      <td>Christian McCaffrey</td>\n",
       "      <td>RB</td>\n",
       "      <td>CAR</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>88</td>\n",
       "      <td>0</td>\n",
       "      <td>19</td>\n",
       "      <td>87</td>\n",
       "      <td>2</td>\n",
       "      <td>37.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>118</td>\n",
       "      <td>Lamar Jackson</td>\n",
       "      <td>QB</td>\n",
       "      <td>BAL</td>\n",
       "      <td>212</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>23</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>86</td>\n",
       "      <td>0</td>\n",
       "      <td>37.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>136</td>\n",
       "      <td>Miles Sanders</td>\n",
       "      <td>RB</td>\n",
       "      <td>PHI</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "      <td>19</td>\n",
       "      <td>122</td>\n",
       "      <td>1</td>\n",
       "      <td>35.20</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Player Pos   Tm  PassingYds  PassingTD  Int  PassingAtt  \\\n",
       "104          Julio Jones  WR  ATL           0          0    0           0   \n",
       "113         Kenyan Drake  RB  ARI           0          0    0           0   \n",
       "30   Christian McCaffrey  RB  CAR           0          0    0           1   \n",
       "118        Lamar Jackson  QB  BAL         212          5    0          23   \n",
       "136        Miles Sanders  RB  PHI           0          0    0           0   \n",
       "\n",
       "     Cmp  Rec  Tgt  ReceivingYds  ReceivingTD  RushingAtt  RushingYds  \\\n",
       "104    0   13   20           134            2           0           0   \n",
       "113    0    0    0             0            0          22         137   \n",
       "30     0    8   10            88            0          19          87   \n",
       "118   15    0    0             0            0           8          86   \n",
       "136    0    6    6            50            1          19         122   \n",
       "\n",
       "     RushingTD  FantasyPoints  \n",
       "104          0          38.40  \n",
       "113          4          37.70  \n",
       "30           2          37.50  \n",
       "118          0          37.08  \n",
       "136          1          35.20  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sort_values('FantasyPoints',ascending=False).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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