Scripts/2020_21_season/three_pt_distance_new.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import time\n",
    "import requests\n",
    "from PIL import Image\n",
    "from io import BytesIO\n",
    "\n",
    "from nba_api.stats.endpoints.shotchartdetail import ShotChartDetail\n",
    "from nba_api.stats.static.players import find_players_by_full_name\n",
    "from nba_api.stats.endpoints.leaguedashplayerstats import LeagueDashPlayerStats\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import time, tqdm\n",
    "from adjustText import adjust_text"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Shots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.style.use('fivethirtyeight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "ename": "ChunkedEncodingError",
     "evalue": "('Connection broken: IncompleteRead(0 bytes read)', IncompleteRead(0 bytes read))",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32mc:\\users\\danie\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\urllib3\\response.py\u001b[0m in \u001b[0;36m_update_chunk_length\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    638\u001b[0m         \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 639\u001b[1;33m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mchunk_left\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mline\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m16\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    640\u001b[0m         \u001b[1;32mexcept\u001b[0m \u001b[0mValueError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mValueError\u001b[0m: invalid literal for int() with base 16: b''",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[1;31mIncompleteRead\u001b[0m                            Traceback (most recent call last)",
      "\u001b[1;32mc:\\users\\danie\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\urllib3\\response.py\u001b[0m in \u001b[0;36m_error_catcher\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    396\u001b[0m             \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 397\u001b[1;33m                 \u001b[1;32myield\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    398\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\danie\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\urllib3\\response.py\u001b[0m in \u001b[0;36mread_chunked\u001b[1;34m(self, amt, decode_content)\u001b[0m\n\u001b[0;32m    703\u001b[0m             \u001b[1;32mwhile\u001b[0m \u001b[1;32mTrue\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 704\u001b[1;33m                 \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_update_chunk_length\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    705\u001b[0m                 \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mchunk_left\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\danie\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\urllib3\\response.py\u001b[0m in \u001b[0;36m_update_chunk_length\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    642\u001b[0m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mclose\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 643\u001b[1;33m             \u001b[1;32mraise\u001b[0m \u001b[0mhttplib\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mIncompleteRead\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mline\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    644\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mIncompleteRead\u001b[0m: IncompleteRead(0 bytes read)",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[1;31mProtocolError\u001b[0m                             Traceback (most recent call last)",
      "\u001b[1;32mc:\\users\\danie\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\requests\\models.py\u001b[0m in \u001b[0;36mgenerate\u001b[1;34m()\u001b[0m\n\u001b[0;32m    749\u001b[0m                 \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 750\u001b[1;33m                     \u001b[1;32mfor\u001b[0m \u001b[0mchunk\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mraw\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstream\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mchunk_size\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdecode_content\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    751\u001b[0m                         \u001b[1;32myield\u001b[0m \u001b[0mchunk\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\danie\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\urllib3\\response.py\u001b[0m in \u001b[0;36mstream\u001b[1;34m(self, amt, decode_content)\u001b[0m\n\u001b[0;32m    526\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mchunked\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msupports_chunked_reads\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 527\u001b[1;33m             \u001b[1;32mfor\u001b[0m \u001b[0mline\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mread_chunked\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mamt\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdecode_content\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdecode_content\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    528\u001b[0m                 \u001b[1;32myield\u001b[0m \u001b[0mline\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\danie\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\urllib3\\response.py\u001b[0m in \u001b[0;36mread_chunked\u001b[1;34m(self, amt, decode_content)\u001b[0m\n\u001b[0;32m    731\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_original_response\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 732\u001b[1;33m                 \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_original_response\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mclose\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    733\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\danie\\appdata\\local\\programs\\python\\python37\\lib\\contextlib.py\u001b[0m in \u001b[0;36m__exit__\u001b[1;34m(self, type, value, traceback)\u001b[0m\n\u001b[0;32m    129\u001b[0m             \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 130\u001b[1;33m                 \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgen\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mthrow\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtype\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtraceback\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    131\u001b[0m             \u001b[1;32mexcept\u001b[0m \u001b[0mStopIteration\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\danie\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\urllib3\\response.py\u001b[0m in \u001b[0;36m_error_catcher\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    414\u001b[0m                 \u001b[1;31m# This includes IncompleteRead.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 415\u001b[1;33m                 \u001b[1;32mraise\u001b[0m \u001b[0mProtocolError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'Connection broken: %r'\u001b[0m \u001b[1;33m%\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    416\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mProtocolError\u001b[0m: ('Connection broken: IncompleteRead(0 bytes read)', IncompleteRead(0 bytes read))",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[1;31mChunkedEncodingError\u001b[0m                      Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-4-93d707b1088b>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mshots_df\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mShotChartDetail\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mteam_id\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mplayer_id\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mseason_nullable\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'2020-21'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcontext_measure_simple\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'FGA'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32mc:\\users\\danie\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\nba_api\\stats\\endpoints\\shotchartdetail.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, team_id, player_id, context_measure_simple, last_n_games, league_id, month, opponent_team_id, period, season_type_all_star, ahead_behind_nullable, clutch_time_nullable, context_filter_nullable, date_from_nullable, date_to_nullable, end_period_nullable, end_range_nullable, game_id_nullable, game_segment_nullable, location_nullable, outcome_nullable, player_position_nullable, point_diff_nullable, position_nullable, range_type_nullable, rookie_year_nullable, season_nullable, season_segment_nullable, start_period_nullable, start_range_nullable, vs_conference_nullable, vs_division_nullable, proxy, headers, timeout, get_request)\u001b[0m\n\u001b[0;32m     88\u001b[0m         }\n\u001b[0;32m     89\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mget_request\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 90\u001b[1;33m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_request\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     91\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     92\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mget_request\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\danie\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\nba_api\\stats\\endpoints\\shotchartdetail.py\u001b[0m in \u001b[0;36mget_request\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m     96\u001b[0m             \u001b[0mproxy\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mproxy\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     97\u001b[0m             \u001b[0mheaders\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mheaders\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 98\u001b[1;33m             \u001b[0mtimeout\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     99\u001b[0m         )\n\u001b[0;32m    100\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mload_response\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\danie\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\nba_api\\library\\http.py\u001b[0m in \u001b[0;36msend_api_request\u001b[1;34m(self, endpoint, parameters, referer, proxy, headers, timeout, raise_exception_on_error)\u001b[0m\n\u001b[0;32m    128\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    129\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mcontents\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 130\u001b[1;33m             \u001b[0mresponse\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrequests\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0murl\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mbase_url\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mparams\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mparameters\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mheaders\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mrequest_headers\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mproxies\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mproxies\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    131\u001b[0m             \u001b[0murl\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mresponse\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0murl\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    132\u001b[0m             \u001b[0mstatus_code\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mresponse\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstatus_code\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\danie\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\requests\\api.py\u001b[0m in \u001b[0;36mget\u001b[1;34m(url, params, **kwargs)\u001b[0m\n\u001b[0;32m     73\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     74\u001b[0m     \u001b[0mkwargs\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msetdefault\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'allow_redirects'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 75\u001b[1;33m     \u001b[1;32mreturn\u001b[0m \u001b[0mrequest\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'get'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0murl\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mparams\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mparams\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     76\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     77\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\danie\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\requests\\api.py\u001b[0m in \u001b[0;36mrequest\u001b[1;34m(method, url, **kwargs)\u001b[0m\n\u001b[0;32m     58\u001b[0m     \u001b[1;31m# cases, and look like a memory leak in others.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     59\u001b[0m     \u001b[1;32mwith\u001b[0m \u001b[0msessions\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mSession\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0msession\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 60\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0msession\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0murl\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0murl\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     61\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     62\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\danie\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\requests\\sessions.py\u001b[0m in \u001b[0;36mrequest\u001b[1;34m(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)\u001b[0m\n\u001b[0;32m    531\u001b[0m         }\n\u001b[0;32m    532\u001b[0m         \u001b[0msend_kwargs\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msettings\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 533\u001b[1;33m         \u001b[0mresp\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mprep\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0msend_kwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    534\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    535\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mresp\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\danie\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\requests\\sessions.py\u001b[0m in \u001b[0;36msend\u001b[1;34m(self, request, **kwargs)\u001b[0m\n\u001b[0;32m    684\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    685\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mstream\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 686\u001b[1;33m             \u001b[0mr\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcontent\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    687\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    688\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mr\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\danie\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\requests\\models.py\u001b[0m in \u001b[0;36mcontent\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    826\u001b[0m                 \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_content\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    827\u001b[0m             \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 828\u001b[1;33m                 \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_content\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34mb''\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0miter_content\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mCONTENT_CHUNK_SIZE\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mor\u001b[0m \u001b[1;34mb''\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    829\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    830\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_content_consumed\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mTrue\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\danie\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\requests\\models.py\u001b[0m in \u001b[0;36mgenerate\u001b[1;34m()\u001b[0m\n\u001b[0;32m    751\u001b[0m                         \u001b[1;32myield\u001b[0m \u001b[0mchunk\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    752\u001b[0m                 \u001b[1;32mexcept\u001b[0m \u001b[0mProtocolError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 753\u001b[1;33m                     \u001b[1;32mraise\u001b[0m \u001b[0mChunkedEncodingError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    754\u001b[0m                 \u001b[1;32mexcept\u001b[0m \u001b[0mDecodeError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    755\u001b[0m                     \u001b[1;32mraise\u001b[0m \u001b[0mContentDecodingError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mChunkedEncodingError\u001b[0m: ('Connection broken: IncompleteRead(0 bytes read)', IncompleteRead(0 bytes read))"
     ]
    }
   ],
   "source": [
    "shots_df = ShotChartDetail(team_id=0, player_id=0, season_nullable='2020-21', context_measure_simple='FGA')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "shots_df = shots_df.get_data_frames()[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "shots_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "three_df = shots_df.loc[shots_df.SHOT_TYPE == '3PT Field Goal']\n",
    "three_df = three_df.loc[three_df.SHOT_DISTANCE <= 47]  # only half court shots\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "grouped_data = three_df.groupby('PLAYER_NAME').SHOT_DISTANCE.mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Retrieving top shooters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "league_stats = LeagueDashPlayerStats()\n",
    "\n",
    "league_df = league_stats.get_data_frames()[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "top_shooters = league_df.sort_values(by='FG3M', ascending=False).iloc[:60]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "distances = []\n",
    "for i in range(len(top_shooters)):\n",
    "    item = top_shooters.iloc[i]\n",
    "    distances.append(grouped_data.loc[item.PLAYER_NAME])\n",
    "top_shooters.loc[:, 'AVG_3PT_DIST'] = distances"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "top_shooters.loc[:, 'AVG_3PT_DIST_M'] = top_shooters.AVG_3PT_DIST * 0.3048"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "shooters = top_shooters.loc[top_shooters.PLAYER_NAME.isin([\"Stephen Curry\", \"Damian Lillard\", \"Joe Harris\", \"Duncan Robinson\", \"Paul George\", \"Mikal Bridges\"])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "shooters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import random\n",
    "from matplotlib.patches import Circle, Rectangle, Arc\n",
    "\n",
    "# Amazing function by Bradley Fay for plotting the nba court\n",
    "# source: https://github.com/bradleyfay/py-Goldsberry/blob/master/docs/Visualizing%20NBA%20Shots%20with%20py-Goldsberry.ipynb\n",
    "def draw_court(ax=None, color='black', lw=2, background_color=\"#EBEBE8\", outer_lines=False):\n",
    "    # If an axes object isn't provided to plot onto, just get current one\n",
    "    if ax is None:\n",
    "        ax = plt.gca()\n",
    "\n",
    "    # Create the various parts of an NBA basketball court\n",
    "\n",
    "    # Create the basketball hoop\n",
    "    # Diameter of a hoop is 18\" so it has a radius of 9\", which is a value\n",
    "    # 7.5 in our coordinate system\n",
    "    hoop = Circle((0, 0), radius=7.5, linewidth=lw, color=color, fill=False)\n",
    "\n",
    "    # Create backboard\n",
    "    backboard = Rectangle((-30, -7.5), 60, -1, linewidth=lw, color=color)\n",
    "\n",
    "    # The paint\n",
    "    # Create the outer box 0f the paint, width=16ft, height=19ft\n",
    "    outer_box = Rectangle((-80, -47.5), 160, 190, linewidth=lw, color=color,\n",
    "                          fill=False, zorder=0)\n",
    "    # Create the inner box of the paint, widt=12ft, height=19ft\n",
    "    inner_box = Rectangle((-60, -47.5), 120, 190, linewidth=lw, color=color,\n",
    "                          fill=False, zorder=0)\n",
    "\n",
    "    # Create free throw top arc\n",
    "    top_free_throw = Arc((0, 142.5), 120, 120, theta1=0, theta2=180,\n",
    "                         linewidth=lw, color=color, fill=False, zorder=0)\n",
    "    # Create free throw bottom arc\n",
    "    bottom_free_throw = Arc((0, 142.5), 120, 120, theta1=180, theta2=0,\n",
    "                            linewidth=lw, color=color, linestyle='dashed', zorder=0)\n",
    "    # Restricted Zone, it is an arc with 4ft radius from center of the hoop\n",
    "    restricted = Arc((0, 0), 80, 80, theta1=0, theta2=180, linewidth=lw,\n",
    "                     color=color, zorder=0)\n",
    "\n",
    "    # Three point line\n",
    "    # Create the side 3pt lines, they are 14ft long before they begin to arc\n",
    "    corner_three_a = Rectangle((-220, -47.5), 0, 138, linewidth=lw,\n",
    "                               color=color, zorder=0)\n",
    "    corner_three_b = Rectangle((220, -47.5), 0, 138, linewidth=lw, color=color, zorder=0)\n",
    "    # 3pt arc - center of arc will be the hoop, arc is 23'9\" away from hoop\n",
    "    # I just played around with the theta values until they lined up with the \n",
    "    # threes\n",
    "    three_arc = Arc((0, 0), 475, 475, theta1=22.13, theta2=157.87, linewidth=lw,\n",
    "                    color=color, zorder=0)\n",
    "\n",
    "    # Center Court\n",
    "    center_outer_arc = Arc((0, 422.5), 120, 120, theta1=180, theta2=0,\n",
    "                           linewidth=lw, color=color, zorder=0)\n",
    "    center_inner_arc = Arc((0, 422.5), 40, 40, theta1=180, theta2=0,\n",
    "                           linewidth=lw, color=color, zorder=0)\n",
    "\n",
    "    # List of the court elements to be plotted onto the axes\n",
    "    court_elements = [hoop, backboard, outer_box, inner_box, top_free_throw,\n",
    "                      bottom_free_throw, restricted, corner_three_a,\n",
    "                      corner_three_b, three_arc, center_outer_arc,\n",
    "                      center_inner_arc]\n",
    "    \n",
    "    # Draw the half court line, baseline and side out bound lines\n",
    "    outer_lines = Rectangle((-249, -48), 498, 470, linewidth=lw,\n",
    "                            color=color, fill=None)\n",
    "    court_elements.append(outer_lines)\n",
    "\n",
    "    # Add the court elements onto the axes\n",
    "    for element in court_elements:\n",
    "        ax.add_patch(element)\n",
    "\n",
    "    return ax"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "team_colors = {\n",
    "    'IND': \"#FDBB30\",\n",
    "    'HOU': \"#CE1141\",\n",
    "    'SAC': \"#5A2D81\",\n",
    "    'MIA': \"#DB3EB1\",\n",
    "    'POR': \"#CE1141\",\n",
    "    'CHA': \"#00788C\",\n",
    "    'ATL': \"#C1D32F\",\n",
    "    'WAS': \"#002B5C\",\n",
    "    'UTA': \"#F9A01B\",\n",
    "    'DAL': \"#00538C\",\n",
    "    'CHI': \"#CE1141\",\n",
    "    'MIN': \"#78BE20\",\n",
    "    'LAL': \"#552583\",\n",
    "    'DET': \"#1D42BA\",\n",
    "    'BKN': \"#000000\",\n",
    "    \"TOR\": \"#B4975A\",\n",
    "    \"NOP\": \"#0C2340\",\n",
    "    \"GSW\": \"#FFC72C\",\n",
    "    \"BKN\": \"black\",\n",
    "    \"LAC\": \"#1D428A\",\n",
    "    \"PHX\": \"#1D1160\"\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import math\n",
    "import random\n",
    "from matplotlib.patches import Circle, Rectangle, Arc\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "bball_gray = '#312f30'\n",
    "bball_white = '#dddee0'\n",
    "bball_orange = '#f87c24'\n",
    "bball_light_orange = '#fbaf7b'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.style.use('fivethirtyeight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "shooters = shooters.sort_values(by='AVG_3PT_DIST_M', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "top_shooters.sort_values(by='AVG_3PT_DIST_M', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig, ax = plt.subplots(figsize=(14, 14))\n",
    "\n",
    "handles = []\n",
    "labels = []\n",
    "for index in range(len(shooters)):\n",
    "    item = shooters.iloc[index]\n",
    "    radius = item.AVG_3PT_DIST * 10\n",
    "    y = math.sqrt(pow(radius, 2) - pow(220, 2))\n",
    "    angle = math.degrees(math.atan(y / 220.))\n",
    "    three_arc = Arc((0, 0), radius * 2, radius * 2, theta1=angle, theta2=180 - angle,\n",
    "                    linewidth=2, ls='--', color=team_colors[item.TEAM_ABBREVIATION])\n",
    "    labels.append(f\"{item.PLAYER_NAME}: {item.AVG_3PT_DIST_M:.2f}m/{item.AVG_3PT_DIST:.2f}ft\")\n",
    "    handles.append(plt.plot([],ls='--', color=team_colors[item.TEAM_ABBREVIATION])[0])\n",
    "    ax.add_patch(three_arc)\n",
    "    \n",
    "\n",
    "labels.append(f\"3PT Line: 7.24m/23.75ft\")\n",
    "handles.append(plt.plot([],ls='-', color=bball_orange)[0])\n",
    "#three_arc = Arc((0, 0), 475, 475, theta1=22, theta2=158, linewidth=lw,\n",
    "#                    color=color, zorder=0)\n",
    "#ax = plt.gca()\n",
    "#ax.add_patch(three_arc)\n",
    "#arc_patch((0, 0), 26, 22, 158, ax=ax, fill=False, color='#FFFFFF', zorder=10)\n",
    "\n",
    "#ax.set_facecolor(bball_gray)\n",
    "#fig.set_facecolor(bball_gray)\n",
    "ax.set_frame_on(False)\n",
    "\n",
    "\n",
    "# Removing ticks\n",
    "ax.xaxis.set_ticks([])\n",
    "ax.yaxis.set_ticks([])\n",
    "#ax.legend()\n",
    "legend = ax.legend(handles, labels, fontsize=12)\n",
    "frame = legend.get_frame()\n",
    "frame.set_facecolor(\"#f0f0f0\")\n",
    "frame.set_linewidth(2)\n",
    "#frame.set_edgecolor(bball_light_orange)\n",
    "#for text in legend.get_texts():\n",
    "#    text.set_color(bball_light_orange)\n",
    "ax.grid(False)\n",
    "\n",
    "# Title\n",
    "ax.set_title(\"Avg distances of 3PT Shots for some interesting players\", size=28, color='black')\n",
    "\n",
    "# Drawing court\n",
    "draw_court(ax=ax,outer_lines=True, lw=3, color=bball_orange)\n",
    "ax.set_xlim(-251,251)\n",
    "ax.set_ylim(-65,423)\n",
    "ax.text(x=-250, y=-60, va='center', ha='left', s='source: nba.com')\n",
    "ax.text(x=250, y=-60, va='center', ha='right', s='instagram: @bballytics')\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2016-17 Rockets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "from nba_api.stats.static.teams import find_teams_by_full_name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "team_id = find_teams_by_full_name(\"Houston Rockets\")[0]['id']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "shots_df = ShotChartDetail(team_id=team_id, player_id=0, season_nullable='2016-17', context_measure_simple='FGA', season_type_all_star=\"Regular Season\")\n",
    "\n",
    "shots_df = shots_df.get_data_frames()[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "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>GRID_TYPE</th>\n",
       "      <th>GAME_ID</th>\n",
       "      <th>GAME_EVENT_ID</th>\n",
       "      <th>PLAYER_ID</th>\n",
       "      <th>PLAYER_NAME</th>\n",
       "      <th>TEAM_ID</th>\n",
       "      <th>TEAM_NAME</th>\n",
       "      <th>PERIOD</th>\n",
       "      <th>MINUTES_REMAINING</th>\n",
       "      <th>SECONDS_REMAINING</th>\n",
       "      <th>...</th>\n",
       "      <th>SHOT_ZONE_AREA</th>\n",
       "      <th>SHOT_ZONE_RANGE</th>\n",
       "      <th>SHOT_DISTANCE</th>\n",
       "      <th>LOC_X</th>\n",
       "      <th>LOC_Y</th>\n",
       "      <th>SHOT_ATTEMPTED_FLAG</th>\n",
       "      <th>SHOT_MADE_FLAG</th>\n",
       "      <th>GAME_DATE</th>\n",
       "      <th>HTM</th>\n",
       "      <th>VTM</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021600013</td>\n",
       "      <td>2</td>\n",
       "      <td>201583</td>\n",
       "      <td>Ryan Anderson</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>44</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>24+ ft.</td>\n",
       "      <td>25</td>\n",
       "      <td>57</td>\n",
       "      <td>251</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20161026</td>\n",
       "      <td>LAL</td>\n",
       "      <td>HOU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021600013</td>\n",
       "      <td>7</td>\n",
       "      <td>2772</td>\n",
       "      <td>Trevor Ariza</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>7</td>\n",
       "      <td>-46</td>\n",
       "      <td>55</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>20161026</td>\n",
       "      <td>LAL</td>\n",
       "      <td>HOU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021600013</td>\n",
       "      <td>9</td>\n",
       "      <td>201935</td>\n",
       "      <td>James Harden</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>58</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>2</td>\n",
       "      <td>-24</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20161026</td>\n",
       "      <td>LAL</td>\n",
       "      <td>HOU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021600013</td>\n",
       "      <td>11</td>\n",
       "      <td>201569</td>\n",
       "      <td>Eric Gordon</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>27</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>8-16 ft.</td>\n",
       "      <td>12</td>\n",
       "      <td>-36</td>\n",
       "      <td>124</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20161026</td>\n",
       "      <td>LAL</td>\n",
       "      <td>HOU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021600013</td>\n",
       "      <td>13</td>\n",
       "      <td>201935</td>\n",
       "      <td>James Harden</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>15</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>2</td>\n",
       "      <td>-13</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20161026</td>\n",
       "      <td>LAL</td>\n",
       "      <td>HOU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021600013</td>\n",
       "      <td>18</td>\n",
       "      <td>201583</td>\n",
       "      <td>Ryan Anderson</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>43</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>8-16 ft.</td>\n",
       "      <td>15</td>\n",
       "      <td>-18</td>\n",
       "      <td>153</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20161026</td>\n",
       "      <td>LAL</td>\n",
       "      <td>HOU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021600013</td>\n",
       "      <td>22</td>\n",
       "      <td>201935</td>\n",
       "      <td>James Harden</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>14</td>\n",
       "      <td>...</td>\n",
       "      <td>Left Side Center(LC)</td>\n",
       "      <td>24+ ft.</td>\n",
       "      <td>25</td>\n",
       "      <td>-142</td>\n",
       "      <td>217</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20161026</td>\n",
       "      <td>LAL</td>\n",
       "      <td>HOU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021600013</td>\n",
       "      <td>37</td>\n",
       "      <td>2403</td>\n",
       "      <td>Nene</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>3</td>\n",
       "      <td>-10</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>20161026</td>\n",
       "      <td>LAL</td>\n",
       "      <td>HOU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021600013</td>\n",
       "      <td>42</td>\n",
       "      <td>2403</td>\n",
       "      <td>Nene</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>30</td>\n",
       "      <td>...</td>\n",
       "      <td>Left Side(L)</td>\n",
       "      <td>8-16 ft.</td>\n",
       "      <td>12</td>\n",
       "      <td>-109</td>\n",
       "      <td>52</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>20161026</td>\n",
       "      <td>LAL</td>\n",
       "      <td>HOU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021600013</td>\n",
       "      <td>47</td>\n",
       "      <td>2403</td>\n",
       "      <td>Nene</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20161026</td>\n",
       "      <td>LAL</td>\n",
       "      <td>HOU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021600013</td>\n",
       "      <td>49</td>\n",
       "      <td>2403</td>\n",
       "      <td>Nene</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>31</td>\n",
       "      <td>...</td>\n",
       "      <td>Left Side Center(LC)</td>\n",
       "      <td>16-24 ft.</td>\n",
       "      <td>16</td>\n",
       "      <td>-109</td>\n",
       "      <td>119</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20161026</td>\n",
       "      <td>LAL</td>\n",
       "      <td>HOU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021600013</td>\n",
       "      <td>72</td>\n",
       "      <td>203909</td>\n",
       "      <td>KJ McDaniels</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>56</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>1</td>\n",
       "      <td>-13</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20161026</td>\n",
       "      <td>LAL</td>\n",
       "      <td>HOU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021600013</td>\n",
       "      <td>74</td>\n",
       "      <td>203909</td>\n",
       "      <td>KJ McDaniels</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>35</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>2</td>\n",
       "      <td>13</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20161026</td>\n",
       "      <td>LAL</td>\n",
       "      <td>HOU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021600013</td>\n",
       "      <td>77</td>\n",
       "      <td>201935</td>\n",
       "      <td>James Harden</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>16</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>2</td>\n",
       "      <td>13</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>20161026</td>\n",
       "      <td>LAL</td>\n",
       "      <td>HOU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021600013</td>\n",
       "      <td>78</td>\n",
       "      <td>203909</td>\n",
       "      <td>KJ McDaniels</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>15</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20161026</td>\n",
       "      <td>LAL</td>\n",
       "      <td>HOU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021600013</td>\n",
       "      <td>86</td>\n",
       "      <td>203991</td>\n",
       "      <td>Clint Capela</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>54</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20161026</td>\n",
       "      <td>LAL</td>\n",
       "      <td>HOU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021600013</td>\n",
       "      <td>89</td>\n",
       "      <td>201935</td>\n",
       "      <td>James Harden</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>31</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20161026</td>\n",
       "      <td>LAL</td>\n",
       "      <td>HOU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021600013</td>\n",
       "      <td>94</td>\n",
       "      <td>201583</td>\n",
       "      <td>Ryan Anderson</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>42</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>1</td>\n",
       "      <td>-8</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>20161026</td>\n",
       "      <td>LAL</td>\n",
       "      <td>HOU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021600013</td>\n",
       "      <td>99</td>\n",
       "      <td>201935</td>\n",
       "      <td>James Harden</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>21</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>20161026</td>\n",
       "      <td>LAL</td>\n",
       "      <td>HOU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021600013</td>\n",
       "      <td>100</td>\n",
       "      <td>203991</td>\n",
       "      <td>Clint Capela</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20161026</td>\n",
       "      <td>LAL</td>\n",
       "      <td>HOU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021600013</td>\n",
       "      <td>104</td>\n",
       "      <td>203991</td>\n",
       "      <td>Clint Capela</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>58</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20161026</td>\n",
       "      <td>LAL</td>\n",
       "      <td>HOU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021600013</td>\n",
       "      <td>108</td>\n",
       "      <td>203991</td>\n",
       "      <td>Clint Capela</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20161026</td>\n",
       "      <td>LAL</td>\n",
       "      <td>HOU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021600013</td>\n",
       "      <td>111</td>\n",
       "      <td>201935</td>\n",
       "      <td>James Harden</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>29</td>\n",
       "      <td>...</td>\n",
       "      <td>Left Side Center(LC)</td>\n",
       "      <td>24+ ft.</td>\n",
       "      <td>26</td>\n",
       "      <td>-139</td>\n",
       "      <td>222</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>20161026</td>\n",
       "      <td>LAL</td>\n",
       "      <td>HOU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021600013</td>\n",
       "      <td>130</td>\n",
       "      <td>1626155</td>\n",
       "      <td>Sam Dekker</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "      <td>26</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20161026</td>\n",
       "      <td>LAL</td>\n",
       "      <td>HOU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021600013</td>\n",
       "      <td>139</td>\n",
       "      <td>201147</td>\n",
       "      <td>Corey Brewer</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20161026</td>\n",
       "      <td>LAL</td>\n",
       "      <td>HOU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021600013</td>\n",
       "      <td>147</td>\n",
       "      <td>201569</td>\n",
       "      <td>Eric Gordon</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>26</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20161026</td>\n",
       "      <td>LAL</td>\n",
       "      <td>HOU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021600013</td>\n",
       "      <td>150</td>\n",
       "      <td>201569</td>\n",
       "      <td>Eric Gordon</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>33</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>4</td>\n",
       "      <td>-16</td>\n",
       "      <td>41</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>20161026</td>\n",
       "      <td>LAL</td>\n",
       "      <td>HOU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021600013</td>\n",
       "      <td>152</td>\n",
       "      <td>203991</td>\n",
       "      <td>Clint Capela</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>31</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>0</td>\n",
       "      <td>-3</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20161026</td>\n",
       "      <td>LAL</td>\n",
       "      <td>HOU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021600013</td>\n",
       "      <td>169</td>\n",
       "      <td>201147</td>\n",
       "      <td>Corey Brewer</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>2</td>\n",
       "      <td>-2</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>20161026</td>\n",
       "      <td>LAL</td>\n",
       "      <td>HOU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021600013</td>\n",
       "      <td>181</td>\n",
       "      <td>201569</td>\n",
       "      <td>Eric Gordon</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>21</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20161026</td>\n",
       "      <td>LAL</td>\n",
       "      <td>HOU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7115</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021601224</td>\n",
       "      <td>348</td>\n",
       "      <td>101150</td>\n",
       "      <td>Lou Williams</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>30</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>3</td>\n",
       "      <td>20</td>\n",
       "      <td>26</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>20170412</td>\n",
       "      <td>HOU</td>\n",
       "      <td>MIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7116</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021601224</td>\n",
       "      <td>352</td>\n",
       "      <td>101150</td>\n",
       "      <td>Lou Williams</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>Right Side Center(RC)</td>\n",
       "      <td>24+ ft.</td>\n",
       "      <td>24</td>\n",
       "      <td>107</td>\n",
       "      <td>224</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20170412</td>\n",
       "      <td>HOU</td>\n",
       "      <td>MIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7117</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021601224</td>\n",
       "      <td>361</td>\n",
       "      <td>101150</td>\n",
       "      <td>Lou Williams</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>24</td>\n",
       "      <td>...</td>\n",
       "      <td>Left Side Center(LC)</td>\n",
       "      <td>24+ ft.</td>\n",
       "      <td>25</td>\n",
       "      <td>-115</td>\n",
       "      <td>228</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>20170412</td>\n",
       "      <td>HOU</td>\n",
       "      <td>MIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7118</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021601224</td>\n",
       "      <td>365</td>\n",
       "      <td>2403</td>\n",
       "      <td>Nene</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>54</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>1</td>\n",
       "      <td>-2</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20170412</td>\n",
       "      <td>HOU</td>\n",
       "      <td>MIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7119</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021601224</td>\n",
       "      <td>368</td>\n",
       "      <td>201935</td>\n",
       "      <td>James Harden</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>...</td>\n",
       "      <td>Left Side(L)</td>\n",
       "      <td>24+ ft.</td>\n",
       "      <td>22</td>\n",
       "      <td>-225</td>\n",
       "      <td>-10</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20170412</td>\n",
       "      <td>HOU</td>\n",
       "      <td>MIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7120</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021601224</td>\n",
       "      <td>374</td>\n",
       "      <td>201569</td>\n",
       "      <td>Eric Gordon</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>43</td>\n",
       "      <td>...</td>\n",
       "      <td>Right Side Center(RC)</td>\n",
       "      <td>24+ ft.</td>\n",
       "      <td>24</td>\n",
       "      <td>81</td>\n",
       "      <td>232</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20170412</td>\n",
       "      <td>HOU</td>\n",
       "      <td>MIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7121</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021601224</td>\n",
       "      <td>376</td>\n",
       "      <td>2772</td>\n",
       "      <td>Trevor Ariza</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>15</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>20170412</td>\n",
       "      <td>HOU</td>\n",
       "      <td>MIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7122</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021601224</td>\n",
       "      <td>379</td>\n",
       "      <td>101150</td>\n",
       "      <td>Lou Williams</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>45</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>8-16 ft.</td>\n",
       "      <td>14</td>\n",
       "      <td>-55</td>\n",
       "      <td>139</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>20170412</td>\n",
       "      <td>HOU</td>\n",
       "      <td>MIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7123</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021601224</td>\n",
       "      <td>389</td>\n",
       "      <td>201976</td>\n",
       "      <td>Patrick Beverley</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "      <td>57</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>39</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>20170412</td>\n",
       "      <td>HOU</td>\n",
       "      <td>MIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7124</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021601224</td>\n",
       "      <td>391</td>\n",
       "      <td>2772</td>\n",
       "      <td>Trevor Ariza</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "      <td>47</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>1</td>\n",
       "      <td>19</td>\n",
       "      <td>-6</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20170412</td>\n",
       "      <td>HOU</td>\n",
       "      <td>MIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7125</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021601224</td>\n",
       "      <td>404</td>\n",
       "      <td>101150</td>\n",
       "      <td>Lou Williams</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>2</td>\n",
       "      <td>-25</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>20170412</td>\n",
       "      <td>HOU</td>\n",
       "      <td>MIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7126</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021601224</td>\n",
       "      <td>407</td>\n",
       "      <td>201976</td>\n",
       "      <td>Patrick Beverley</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>46</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>1</td>\n",
       "      <td>19</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20170412</td>\n",
       "      <td>HOU</td>\n",
       "      <td>MIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7127</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021601224</td>\n",
       "      <td>423</td>\n",
       "      <td>201569</td>\n",
       "      <td>Eric Gordon</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>46</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>24+ ft.</td>\n",
       "      <td>25</td>\n",
       "      <td>-63</td>\n",
       "      <td>242</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>20170412</td>\n",
       "      <td>HOU</td>\n",
       "      <td>MIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7128</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021601224</td>\n",
       "      <td>426</td>\n",
       "      <td>2772</td>\n",
       "      <td>Trevor Ariza</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>22</td>\n",
       "      <td>...</td>\n",
       "      <td>Right Side Center(RC)</td>\n",
       "      <td>24+ ft.</td>\n",
       "      <td>24</td>\n",
       "      <td>209</td>\n",
       "      <td>124</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>20170412</td>\n",
       "      <td>HOU</td>\n",
       "      <td>MIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7129</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021601224</td>\n",
       "      <td>428</td>\n",
       "      <td>203991</td>\n",
       "      <td>Clint Capela</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>19</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20170412</td>\n",
       "      <td>HOU</td>\n",
       "      <td>MIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7130</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021601224</td>\n",
       "      <td>436</td>\n",
       "      <td>201935</td>\n",
       "      <td>James Harden</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>37</td>\n",
       "      <td>...</td>\n",
       "      <td>Left Side Center(LC)</td>\n",
       "      <td>24+ ft.</td>\n",
       "      <td>25</td>\n",
       "      <td>-201</td>\n",
       "      <td>154</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20170412</td>\n",
       "      <td>HOU</td>\n",
       "      <td>MIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7131</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021601224</td>\n",
       "      <td>439</td>\n",
       "      <td>201569</td>\n",
       "      <td>Eric Gordon</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>Left Side Center(LC)</td>\n",
       "      <td>24+ ft.</td>\n",
       "      <td>24</td>\n",
       "      <td>-166</td>\n",
       "      <td>180</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>20170412</td>\n",
       "      <td>HOU</td>\n",
       "      <td>MIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7132</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021601224</td>\n",
       "      <td>441</td>\n",
       "      <td>201569</td>\n",
       "      <td>Eric Gordon</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>Left Side(L)</td>\n",
       "      <td>24+ ft.</td>\n",
       "      <td>23</td>\n",
       "      <td>-232</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20170412</td>\n",
       "      <td>HOU</td>\n",
       "      <td>MIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7133</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021601224</td>\n",
       "      <td>447</td>\n",
       "      <td>203991</td>\n",
       "      <td>Clint Capela</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>46</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20170412</td>\n",
       "      <td>HOU</td>\n",
       "      <td>MIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7134</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021601224</td>\n",
       "      <td>450</td>\n",
       "      <td>201569</td>\n",
       "      <td>Eric Gordon</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>...</td>\n",
       "      <td>Right Side Center(RC)</td>\n",
       "      <td>24+ ft.</td>\n",
       "      <td>25</td>\n",
       "      <td>194</td>\n",
       "      <td>159</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>20170412</td>\n",
       "      <td>HOU</td>\n",
       "      <td>MIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7135</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021601224</td>\n",
       "      <td>452</td>\n",
       "      <td>201935</td>\n",
       "      <td>James Harden</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>17</td>\n",
       "      <td>...</td>\n",
       "      <td>Left Side Center(LC)</td>\n",
       "      <td>24+ ft.</td>\n",
       "      <td>25</td>\n",
       "      <td>-199</td>\n",
       "      <td>154</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20170412</td>\n",
       "      <td>HOU</td>\n",
       "      <td>MIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7136</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021601224</td>\n",
       "      <td>461</td>\n",
       "      <td>201583</td>\n",
       "      <td>Ryan Anderson</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>43</td>\n",
       "      <td>...</td>\n",
       "      <td>Right Side Center(RC)</td>\n",
       "      <td>24+ ft.</td>\n",
       "      <td>25</td>\n",
       "      <td>132</td>\n",
       "      <td>223</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>20170412</td>\n",
       "      <td>HOU</td>\n",
       "      <td>MIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7137</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021601224</td>\n",
       "      <td>464</td>\n",
       "      <td>203991</td>\n",
       "      <td>Clint Capela</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>18</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20170412</td>\n",
       "      <td>HOU</td>\n",
       "      <td>MIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7138</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021601224</td>\n",
       "      <td>467</td>\n",
       "      <td>101150</td>\n",
       "      <td>Lou Williams</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>54</td>\n",
       "      <td>...</td>\n",
       "      <td>Left Side Center(LC)</td>\n",
       "      <td>24+ ft.</td>\n",
       "      <td>25</td>\n",
       "      <td>-101</td>\n",
       "      <td>232</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>20170412</td>\n",
       "      <td>HOU</td>\n",
       "      <td>MIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7139</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021601224</td>\n",
       "      <td>476</td>\n",
       "      <td>201935</td>\n",
       "      <td>James Harden</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>48</td>\n",
       "      <td>...</td>\n",
       "      <td>Right Side Center(RC)</td>\n",
       "      <td>24+ ft.</td>\n",
       "      <td>25</td>\n",
       "      <td>161</td>\n",
       "      <td>198</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>20170412</td>\n",
       "      <td>HOU</td>\n",
       "      <td>MIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7140</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021601224</td>\n",
       "      <td>486</td>\n",
       "      <td>201976</td>\n",
       "      <td>Patrick Beverley</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>22</td>\n",
       "      <td>...</td>\n",
       "      <td>Right Side Center(RC)</td>\n",
       "      <td>24+ ft.</td>\n",
       "      <td>24</td>\n",
       "      <td>218</td>\n",
       "      <td>116</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>20170412</td>\n",
       "      <td>HOU</td>\n",
       "      <td>MIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7141</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021601224</td>\n",
       "      <td>488</td>\n",
       "      <td>1627786</td>\n",
       "      <td>Troy Williams</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>14</td>\n",
       "      <td>...</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>1</td>\n",
       "      <td>14</td>\n",
       "      <td>-6</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20170412</td>\n",
       "      <td>HOU</td>\n",
       "      <td>MIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7142</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021601224</td>\n",
       "      <td>493</td>\n",
       "      <td>101150</td>\n",
       "      <td>Lou Williams</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>44</td>\n",
       "      <td>...</td>\n",
       "      <td>Left Side Center(LC)</td>\n",
       "      <td>24+ ft.</td>\n",
       "      <td>25</td>\n",
       "      <td>-205</td>\n",
       "      <td>144</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>20170412</td>\n",
       "      <td>HOU</td>\n",
       "      <td>MIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7143</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021601224</td>\n",
       "      <td>495</td>\n",
       "      <td>101150</td>\n",
       "      <td>Lou Williams</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>40</td>\n",
       "      <td>...</td>\n",
       "      <td>Left Side(L)</td>\n",
       "      <td>24+ ft.</td>\n",
       "      <td>23</td>\n",
       "      <td>-232</td>\n",
       "      <td>-11</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>20170412</td>\n",
       "      <td>HOU</td>\n",
       "      <td>MIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7144</th>\n",
       "      <td>Shot Chart Detail</td>\n",
       "      <td>0021601224</td>\n",
       "      <td>512</td>\n",
       "      <td>1627786</td>\n",
       "      <td>Troy Williams</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>28</td>\n",
       "      <td>...</td>\n",
       "      <td>Right Side(R)</td>\n",
       "      <td>16-24 ft.</td>\n",
       "      <td>22</td>\n",
       "      <td>182</td>\n",
       "      <td>131</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>20170412</td>\n",
       "      <td>HOU</td>\n",
       "      <td>MIN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7145 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              GRID_TYPE     GAME_ID  GAME_EVENT_ID  PLAYER_ID  \\\n",
       "0     Shot Chart Detail  0021600013              2     201583   \n",
       "1     Shot Chart Detail  0021600013              7       2772   \n",
       "2     Shot Chart Detail  0021600013              9     201935   \n",
       "3     Shot Chart Detail  0021600013             11     201569   \n",
       "4     Shot Chart Detail  0021600013             13     201935   \n",
       "...                 ...         ...            ...        ...   \n",
       "7140  Shot Chart Detail  0021601224            486     201976   \n",
       "7141  Shot Chart Detail  0021601224            488    1627786   \n",
       "7142  Shot Chart Detail  0021601224            493     101150   \n",
       "7143  Shot Chart Detail  0021601224            495     101150   \n",
       "7144  Shot Chart Detail  0021601224            512    1627786   \n",
       "\n",
       "           PLAYER_NAME     TEAM_ID        TEAM_NAME  PERIOD  \\\n",
       "0        Ryan Anderson  1610612745  Houston Rockets       1   \n",
       "1         Trevor Ariza  1610612745  Houston Rockets       1   \n",
       "2         James Harden  1610612745  Houston Rockets       1   \n",
       "3          Eric Gordon  1610612745  Houston Rockets       1   \n",
       "4         James Harden  1610612745  Houston Rockets       1   \n",
       "...                ...         ...              ...     ...   \n",
       "7140  Patrick Beverley  1610612745  Houston Rockets       4   \n",
       "7141     Troy Williams  1610612745  Houston Rockets       4   \n",
       "7142      Lou Williams  1610612745  Houston Rockets       4   \n",
       "7143      Lou Williams  1610612745  Houston Rockets       4   \n",
       "7144     Troy Williams  1610612745  Houston Rockets       4   \n",
       "\n",
       "      MINUTES_REMAINING  SECONDS_REMAINING  ...         SHOT_ZONE_AREA  \\\n",
       "0                    11                 44  ...              Center(C)   \n",
       "1                    11                 11  ...              Center(C)   \n",
       "2                    10                 58  ...              Center(C)   \n",
       "3                    10                 27  ...              Center(C)   \n",
       "4                    10                 15  ...              Center(C)   \n",
       "...                 ...                ...  ...                    ...   \n",
       "7140                  2                 22  ...  Right Side Center(RC)   \n",
       "7141                  2                 14  ...              Center(C)   \n",
       "7142                  1                 44  ...   Left Side Center(LC)   \n",
       "7143                  1                 40  ...           Left Side(L)   \n",
       "7144                  0                 28  ...          Right Side(R)   \n",
       "\n",
       "      SHOT_ZONE_RANGE SHOT_DISTANCE LOC_X LOC_Y SHOT_ATTEMPTED_FLAG  \\\n",
       "0             24+ ft.            25    57   251                   1   \n",
       "1     Less Than 8 ft.             7   -46    55                   1   \n",
       "2     Less Than 8 ft.             2   -24     8                   1   \n",
       "3            8-16 ft.            12   -36   124                   1   \n",
       "4     Less Than 8 ft.             2   -13    16                   1   \n",
       "...               ...           ...   ...   ...                 ...   \n",
       "7140          24+ ft.            24   218   116                   1   \n",
       "7141  Less Than 8 ft.             1    14    -6                   1   \n",
       "7142          24+ ft.            25  -205   144                   1   \n",
       "7143          24+ ft.            23  -232   -11                   1   \n",
       "7144        16-24 ft.            22   182   131                   1   \n",
       "\n",
       "      SHOT_MADE_FLAG  GAME_DATE  HTM  VTM  \n",
       "0                  1   20161026  LAL  HOU  \n",
       "1                  0   20161026  LAL  HOU  \n",
       "2                  1   20161026  LAL  HOU  \n",
       "3                  1   20161026  LAL  HOU  \n",
       "4                  1   20161026  LAL  HOU  \n",
       "...              ...        ...  ...  ...  \n",
       "7140               0   20170412  HOU  MIN  \n",
       "7141               1   20170412  HOU  MIN  \n",
       "7142               0   20170412  HOU  MIN  \n",
       "7143               0   20170412  HOU  MIN  \n",
       "7144               0   20170412  HOU  MIN  \n",
       "\n",
       "[7145 rows x 24 columns]"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shots_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "three_df = shots_df.loc[shots_df.SHOT_TYPE == '3PT Field Goal']\n",
    "three_df = three_df.loc[three_df.SHOT_DISTANCE <= 47]  # only half court shots\n",
    "\n",
    "\n",
    "grouped_data = three_df.groupby('PLAYER_NAME').SHOT_DISTANCE.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "grouped_data = grouped_data.to_frame().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "target_players = [\"James Harden\", \"Eric Gordon\", \"Ryan Anderson\", \"Trevor Ariza\", \"Patrick Beverley\", \"Lou Williams\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "target_data = grouped_data.loc[grouped_data.PLAYER_NAME.isin(target_players)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\danie\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pandas\\core\\indexing.py:362: 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/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  self.obj[key] = _infer_fill_value(value)\n",
      "c:\\users\\danie\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pandas\\core\\indexing.py:480: 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/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  self.obj[item] = s\n"
     ]
    }
   ],
   "source": [
    "target_data.loc[:, 'SHOT_DISTANCE_M'] = target_data.SHOT_DISTANCE * 0.3048"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "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_NAME</th>\n",
       "      <th>SHOT_DISTANCE</th>\n",
       "      <th>SHOT_DISTANCE_M</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Eric Gordon</td>\n",
       "      <td>25.199088</td>\n",
       "      <td>7.680682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>James Harden</td>\n",
       "      <td>25.213049</td>\n",
       "      <td>7.684937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Lou Williams</td>\n",
       "      <td>25.062016</td>\n",
       "      <td>7.638902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Patrick Beverley</td>\n",
       "      <td>24.396491</td>\n",
       "      <td>7.436051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Ryan Anderson</td>\n",
       "      <td>25.539526</td>\n",
       "      <td>7.784447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Trevor Ariza</td>\n",
       "      <td>24.393502</td>\n",
       "      <td>7.435139</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         PLAYER_NAME  SHOT_DISTANCE  SHOT_DISTANCE_M\n",
       "2        Eric Gordon      25.199088         7.680682\n",
       "4       James Harden      25.213049         7.684937\n",
       "7       Lou Williams      25.062016         7.638902\n",
       "10  Patrick Beverley      24.396491         7.436051\n",
       "11     Ryan Anderson      25.539526         7.784447\n",
       "13      Trevor Ariza      24.393502         7.435139"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "target_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [],
   "source": [
    "colors = ['#008fd5', '#fc4f30', '#e5ae38', '#6d904f', '#8b8b8b', '#810f7c']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-65, 423)"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x1008 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(14, 14))\n",
    "\n",
    "handles = []\n",
    "labels = []\n",
    "for index in range(len(target_data)):\n",
    "    item = target_data.iloc[index]\n",
    "    radius = item.SHOT_DISTANCE * 10\n",
    "    y = math.sqrt(pow(radius, 2) - pow(220, 2))\n",
    "    angle = math.degrees(math.atan(y / 220.))\n",
    "    three_arc = Arc((0, 0), radius * 2, radius * 2, theta1=angle, theta2=180 - angle,\n",
    "                    linewidth=2, ls='--', label=f'{item.PLAYER_NAME}: {item.SHOT_DISTANCE_M:.2f}m', color=colors[index])\n",
    "    labels.append(f\"{item.PLAYER_NAME}: {item.SHOT_DISTANCE_M:.2f}m\")\n",
    "    handles.append(plt.plot([],ls='--', color=colors[index])[0])\n",
    "    ax.add_patch(three_arc)\n",
    "    \n",
    "\n",
    "labels.append(f\"3PT Line: 7.24m/23.75ft\")\n",
    "handles.append(plt.plot([],ls='-', color=bball_orange)[0])\n",
    "    \n",
    "#three_arc = Arc((0, 0), 475, 475, theta1=22, theta2=158, linewidth=lw,\n",
    "#                    color=color, zorder=0)\n",
    "#ax = plt.gca()\n",
    "#ax.add_patch(three_arc)\n",
    "#arc_patch((0, 0), 26, 22, 158, ax=ax, fill=False, color='#FFFFFF', zorder=10)\n",
    "\n",
    "#ax.set_facecolor(bball_gray)\n",
    "#fig.set_facecolor(bball_gray)\n",
    "ax.set_frame_on(False)\n",
    "\n",
    "\n",
    "# Removing ticks\n",
    "ax.xaxis.set_ticks([])\n",
    "ax.yaxis.set_ticks([])\n",
    "#ax.legend()\n",
    "legend = ax.legend(handles=handles, labels=labels)\n",
    "frame = legend.get_frame()\n",
    "frame.set_facecolor(\"#f0f0f0\")\n",
    "frame.set_linewidth(2)\n",
    "#frame.set_edgecolor(bball_light_orange)\n",
    "#for text in legend.get_texts():\n",
    "#    text.set_color(bball_light_orange)\n",
    "ax.grid(False)\n",
    "\n",
    "# Title\n",
    "ax.set_title(\"Avg distances of 3PT Shots for 2016-17 Houston Rockets\", size=28, color='black')\n",
    "\n",
    "# Drawing court\n",
    "draw_court(ax=ax,outer_lines=True, lw=3, color=bball_orange)\n",
    "ax.set_xlim(-251,251)\n",
    "ax.set_ylim(-65,423)\n",
    "#ax.text(x=-250, y=-60, va='center', ha='left', s='source: nba.com')\n",
    "#ax.text(x=250, y=-60, va='center', ha='right', s='instagram: @bballytics')\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## COrrect calculation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "three_df = shots_df.loc[shots_df.SHOT_TYPE == '3PT Field Goal']\n",
    "three_df = three_df.loc[three_df.SHOT_DISTANCE <= 42]  # only half court shots\n",
    "three_df.loc[:, 'CALC_DISTANCE'] = ((three_df.LOC_X ** 2) + (three_df.LOC_Y ** 2)) ** (1/2) / 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "longer_three = three_df.loc[three_df.CALC_DISTANCE >= 24.75]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.3697808285814664"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "three_df.SHOT_MADE_FLAG.sum() / three_df.SHOT_ATTEMPTED_FLAG.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.36011327488556133"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "longer_three.SHOT_MADE_FLAG.sum() / longer_three.SHOT_ATTEMPTED_FLAG.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.36011327488556133"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "9283 / 25778"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}