ESPN NBA Fantasy Player Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import os\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "csvPath = os.path.expanduser(\"~/Desktop\")\n",
    "df = pd.read_csv(f\"{csvPath}/NBA2017_Output.csv\", sep=\";\")\n",
    "\n",
    "df = df.drop(df.columns[[0,]], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [],
   "source": [
    "categories = [\"MIN\" , \"PTS\", \"AST\", \"REB\", \"BLK\", \"STL\", \"TOV\", \"FG%\", \"3PM\", \"FT%\"]\n",
    "TeamA = [\"Kevin Durant\", \"Jimmy Butler\"]\n",
    "TeamB = [\"Anthony Davis\", \"Andre Drummond\"]\n",
    "\n",
    "DfTeamA = pd.DataFrame()\n",
    "for Player in TeamA:\n",
    "    DfTeamA = DfTeamA.append(df.loc[df['PLAYER'] == Player])\n",
    "\n",
    "DfTeamB = pd.DataFrame()\n",
    "for Player in TeamB:\n",
    "    DfTeamB = DfTeamB.append(df.loc[df['PLAYER'] == Player])\n",
    "    \n",
    "DfTeamA = DfTeamA.drop([\"FGM\", \"FGA\", \"3PA\" , \"3P%\", \"FTM\", \"FTA\", \"OREB\", \"DREB\", \"PF\", \"FP\", \"+/-\"], axis=1)\n",
    "DfTeamB = DfTeamB.drop([\"FGM\", \"FGA\", \"3PA\" , \"3P%\", \"FTM\", \"FTA\", \"OREB\", \"DREB\", \"PF\", \"FP\", \"+/-\"], axis=1)\n",
    "\n",
    "AnalysisTeamA = DfTeamA.describe()\n",
    "AnalysisTeamB = DfTeamB.describe()\n",
    "\n",
    "MeanTeamA = AnalysisTeamA.loc[\"mean\"]\n",
    "MeanTeamB = AnalysisTeamB.loc[\"mean\"]\n",
    "\n",
    "MeanTeamAnalysis = pd.DataFrame({'MeanTeamA': MeanTeamA, 'MeanTeamB': MeanTeamB})\n",
    "MeanTeamAnalysis = MeanTeamAnalysis.transpose()\n",
    "MeanTeamAnalysis[\"Team\"] = [\"TeamA\", \"TeamB\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 5040x504 with 10 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "height = 7\n",
    "width = len(categories) * height\n",
    "fig, axs = plt.subplots(ncols=len(categories), figsize= (width, height))\n",
    "winRateA = 0\n",
    "i = 0\n",
    "for categorie in categories:\n",
    "    sns.barplot(x=\"Team\", y=categorie, data=MeanTeamAnalysis, palette=[\"#595758\", \"#0eb1d2\"], ax=axs[i])\n",
    "    i += 1\n",
    "    if MeanTeamAnalysis.loc[\"MeanTeamA\"][categorie] > MeanTeamAnalysis.loc[\"MeanTeamB\"][categorie]:\n",
    "        winRateA = winRateA + 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Percent of categories won by Team A.\n",
    "winRateA / len(categories)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "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>GP</th>\n",
       "      <th>W</th>\n",
       "      <th>L</th>\n",
       "      <th>MIN</th>\n",
       "      <th>PTS</th>\n",
       "      <th>FG%</th>\n",
       "      <th>3PM</th>\n",
       "      <th>FT%</th>\n",
       "      <th>REB</th>\n",
       "      <th>AST</th>\n",
       "      <th>TOV</th>\n",
       "      <th>STL</th>\n",
       "      <th>BLK</th>\n",
       "      <th>DD2</th>\n",
       "      <th>TD3</th>\n",
       "      <th>FantasyPoints</th>\n",
       "      <th>FantasyPoints%</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>MeanTeamA</th>\n",
       "      <td>63.5</td>\n",
       "      <td>43.0</td>\n",
       "      <td>20.5</td>\n",
       "      <td>35.45</td>\n",
       "      <td>24.30</td>\n",
       "      <td>49.50</td>\n",
       "      <td>1.85</td>\n",
       "      <td>87.15</td>\n",
       "      <td>6.05</td>\n",
       "      <td>5.15</td>\n",
       "      <td>2.4</td>\n",
       "      <td>1.35</td>\n",
       "      <td>1.1</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5322.5</td>\n",
       "      <td>0.986</td>\n",
       "      <td>TeamA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MeanTeamB</th>\n",
       "      <td>76.5</td>\n",
       "      <td>41.0</td>\n",
       "      <td>35.5</td>\n",
       "      <td>35.05</td>\n",
       "      <td>21.55</td>\n",
       "      <td>53.15</td>\n",
       "      <td>0.35</td>\n",
       "      <td>71.65</td>\n",
       "      <td>13.55</td>\n",
       "      <td>2.65</td>\n",
       "      <td>2.4</td>\n",
       "      <td>1.50</td>\n",
       "      <td>2.1</td>\n",
       "      <td>56.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>4995.5</td>\n",
       "      <td>0.925</td>\n",
       "      <td>TeamB</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             GP     W     L    MIN    PTS    FG%   3PM    FT%    REB   AST  \\\n",
       "MeanTeamA  63.5  43.0  20.5  35.45  24.30  49.50  1.85  87.15   6.05  5.15   \n",
       "MeanTeamB  76.5  41.0  35.5  35.05  21.55  53.15  0.35  71.65  13.55  2.65   \n",
       "\n",
       "           TOV   STL  BLK   DD2  TD3  FantasyPoints  FantasyPoints%   Team  \n",
       "MeanTeamA  2.4  1.35  1.1   9.0  1.0         5322.5           0.986  TeamA  \n",
       "MeanTeamB  2.4  1.50  2.1  56.0  0.5         4995.5           0.925  TeamB  "
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "MeanTeamAnalysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv(path_or_buf=f\"{csvPath}/NBA2017_PlayerAnalysis_{time.time()}.csv\", sep=\";\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Typical Statistics for all NBA Players\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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