Retrosheet pulling to stat dataframe

batting_stats.csv

@@ -0,0 +1,586 @@
+batter_id,HRvR,HRvL,1BvR,1BvL,2BvR,2BvL,3BvR,3BvL,BBvR,BBvL,SOvR,SOvL,HBPvR,HBPvL
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retrosheet_data.py

@@ -0,0 +1,83 @@
+import asyncio
+import datetime
+import logging
+import sys
+
+from typing import Literal
+
+import pandas as pd
+import pybaseball as pb
+
+date = f'{datetime.datetime.now().year}-{datetime.datetime.now().month}-{datetime.datetime.now().day}'
+log_level = logging.INFO
+logging.basicConfig(
+    filename=f'logs/{date}.log',
+    format='%(asctime)s - card-creation - %(levelname)s - %(message)s',
+    level=log_level
+)
+FILE_PATH = 'data-input/retrosheet/'
+EVENTS_FILENAME = 'retrosheets_events_1998_short.csv'
+PERSONNEL_FILENAME = 'retrosheets_personnel.csv'
+
+
+def get_events_by_date(start_date: int, end_date: int) -> pd.DataFrame:
+    all_plays = pd.read_csv(f'{FILE_PATH}{EVENTS_FILENAME}', dtype={'game_id': 'str'})
+    all_plays['date'] = all_plays['game_id'].str[7:-1].astype(int)
+    date_plays = all_plays[(all_plays.date >= start_date) & (all_plays.date <= end_date)]
+    return date_plays
+
+
+def get_result_series(plays: pd.DataFrame, event_type: str, pitcher_hand: Literal['r', 'l'], col_name: str) -> pd.Series:
+    this_series = plays[(plays.event_type == event_type) & (plays.pitcher_hand == pitcher_hand)].groupby('batter_id').count()['event_type'].astype(int).rename(col_name)
+    return this_series
+
+
+def get_batting_stats_by_date(start_date: int, end_date: int) -> pd.DataFrame:
+    all_plays = get_events_by_date(start_date, end_date)
+
+    bs = pd.DataFrame()
+    bs['batter_id'] = all_plays['batter_id'].unique()
+    bs = bs.set_index('batter_id')
+
+    # Basic counting stats
+    for event_type, vs_hand, col_name in [
+        ('home run', 'r', 'HRvR'),
+        ('home run', 'l', 'HRvL'),
+        ('single', 'r', '1BvR'),
+        ('single', 'l', '1BvL'),
+        ('double', 'r', '2BvR'),
+        ('double', 'l', '2BvL'),
+        ('triple', 'r', '3BvR'),
+        ('triple', 'l', '3BvL'),
+        ('walk', 'r', 'BBvR'),
+        ('walk', 'l', 'BBvL'),
+        ('strikeout', 'r', 'SOvR'),
+        ('strikeout', 'l', 'SOvL'),
+        ('hit by pitch', 'r', 'HBPvR'),
+        ('hit by pitch', 'l', 'HBPvL')
+    ]:
+        this_series = get_result_series(all_plays, event_type, vs_hand, col_name)
+        bs = pd.concat([bs, this_series], axis=1)
+
+    # Bespoke queries
+    
+    # fill na to 0 following counting stats
+    bs = bs.fillna(0)
+
+    return bs
+
+
+# def get_batting_stat_range(start_month: int, start_day: int, end_month: int, end_day: int):
+#     return get_batting_stats_by_date(
+#         start_date=start_month * 100 + start_day, 
+#         end_date=end_month * 100 + end_day
+#     )
+
+
+async def main(args):
+    data = get_batting_stats_by_date(start_date=101, end_date=430)
+    data.to_csv(f'batting_stats.csv')
+
+
+if __name__ == '__main__':
+    asyncio.run(main(sys.argv[1:]))