data/01-get-game-logs.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "from time import sleep\n",
    "from tqdm import tqdm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Gets a list of all regular-season games for a season"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from nba_api.stats.endpoints import leaguegamelog"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_logs(year, overwrite=False):\n",
    "    season = f'{year-1}-{str(year)[2:]}'\n",
    "    fpath = f'logs/log-{year}.csv'\n",
    "    if not os.path.exists(fpath) or overwrite:\n",
    "        req = leaguegamelog.LeagueGameLog(season_all_time=season)\n",
    "        games = req.league_game_log.get_data_frame()\n",
    "        games.to_csv(fpath, index=False)\n",
    "        sleep(0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 68/68 [00:00<00:00, 8191.06it/s]\n"
     ]
    }
   ],
   "source": [
    "for y in tqdm(range(2018, 1950, -1)):\n",
    "    get_logs(y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "get_logs(2019, overwrite=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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