From 1109a124340753c20ce8b0c3bdd1d7e456fd9c74 Mon Sep 17 00:00:00 2001 From: Cal Corum Date: Thu, 17 Oct 2024 16:31:17 -0500 Subject: [PATCH] Added PA and AB to batter_stats --- batting_stats.csv | 1172 ++++++++++++++++++++++---------------------- retrosheet_data.py | 23 +- 2 files changed, 607 insertions(+), 588 deletions(-) diff --git a/batting_stats.csv b/batting_stats.csv index 8e97112..e5cfaa6 100644 --- a/batting_stats.csv +++ b/batting_stats.csv @@ -1,586 +1,586 @@ -batter_id,HRvR,HRvL,1BvR,1BvL,2BvR,2BvL,3BvR,3BvL,BBvR,BBvL,SOvR,SOvL,HBPvR,HBPvL -knobc001,1.0,0.0,15.0,1.0,0.0,1.0,1.0,0.0,10.0,4.0,10.0,3.0,4.0,0.0 -jeted001,1.0,1.0,15.0,1.0,4.0,1.0,0.0,0.0,4.0,1.0,21.0,4.0,0.0,0.0 -oneip001,0.0,0.0,10.0,3.0,6.0,0.0,1.0,0.0,12.0,2.0,8.0,6.0,0.0,1.0 -willb002,0.0,0.0,8.0,4.0,5.0,1.0,1.0,1.0,14.0,1.0,6.0,9.0,0.0,0.0 -erstd001,4.0,2.0,12.0,4.0,7.0,2.0,1.0,1.0,8.0,3.0,10.0,4.0,0.0,1.0 -edmoj001,2.0,0.0,9.0,3.0,5.0,1.0,0.0,0.0,6.0,1.0,6.0,5.0,0.0,0.0 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a/retrosheet_data.py +++ b/retrosheet_data.py @@ -12,11 +12,11 @@ date = f'{datetime.datetime.now().year}-{datetime.datetime.now().month}-{datetim log_level = logging.INFO logging.basicConfig( filename=f'logs/{date}.log', - format='%(asctime)s - card-creation - %(levelname)s - %(message)s', + format='%(asctime)s - retrosheet_data - %(levelname)s - %(message)s', level=log_level ) FILE_PATH = 'data-input/retrosheet/' -EVENTS_FILENAME = 'retrosheets_events_1998_short.csv' +EVENTS_FILENAME = 'retrosheets_events_1998_short.csv' # Removed last few columns which were throwing dtype errors PERSONNEL_FILENAME = 'retrosheets_personnel.csv' @@ -39,6 +39,17 @@ def get_batting_stats_by_date(start_date: int, end_date: int) -> pd.DataFrame: bs['batter_id'] = all_plays['batter_id'].unique() bs = bs.set_index('batter_id') + pal_series = all_plays[(all_plays.batter_event == 't') & (all_plays.pitcher_hand == 'l')].groupby('batter_id').count()['event_type'].astype(int).rename('PAvL') + bs = pd.concat([bs, pal_series], axis=1) + par_series = all_plays[(all_plays.batter_event == 't') & (all_plays.pitcher_hand == 'r')].groupby('batter_id').count()['event_type'].astype(int).rename('PAvR') + bs = pd.concat([bs, par_series], axis=1) + + + abl_series = all_plays[(all_plays.ab == 't') & (all_plays.pitcher_hand == 'l')].groupby('batter_id').count()['event_type'].astype(int).rename('ABvL') + bs = pd.concat([bs, abl_series], axis=1) + abr_series = all_plays[(all_plays.ab == 't') & (all_plays.pitcher_hand == 'r')].groupby('batter_id').count()['event_type'].astype(int).rename('ABvR') + bs = pd.concat([bs, abr_series], axis=1) + # Basic counting stats for event_type, vs_hand, col_name in [ ('home run', 'r', 'HRvR'), @@ -75,8 +86,16 @@ def get_batting_stats_by_date(start_date: int, end_date: int) -> pd.DataFrame: async def main(args): + print(f'Running the calcs...') + start = datetime.datetime.now() data = get_batting_stats_by_date(start_date=101, end_date=430) + end_calc = datetime.datetime.now() + + print(f'Saving to csv...') data.to_csv(f'batting_stats.csv') + end = datetime.datetime.now() + + print(f'Done!\n\nCalc time: {(end_calc - start).total_seconds()}s\nSave time: {(end - end_calc).total_seconds()}s\nTotal: {(end - start).total_seconds()}s') if __name__ == '__main__':