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import gradio as gr | |
import polars as pl | |
from datetime import datetime | |
# from itertools import chain | |
from data import data_df | |
from stats import compute_pitch_stats, filter_data_by_date_and_game_kind | |
from convert import ball_kind | |
STATS = ['Count', 'Usage', 'Swing%', 'Z-Swing%', 'Chase%', 'Contact%', 'Z-Contact%', 'O-Contact%', 'SwStr%', 'Whiff%', 'CSW%', 'GB%', 'FB%', 'LD%', 'Zone%', 'Arm%', 'Glove%', 'High%', 'Low%'] | |
PCT_STATS = ['Usage', 'Swing%', 'Z-Swing%', 'Chase%', 'Contact%', 'Z-Contact%', 'O-Contact%', 'SwStr%', 'Whiff%', 'CSW%', 'GB%', 'FB%', 'LD%', 'Zone%', 'Arm%', 'Glove%', 'High%', 'Low%'] | |
STATS_WITH_PCTLS = ['Swing%', 'Z-Swing%', 'Chase%', 'Contact%', 'Z-Contact%', 'O-Contact%', 'SwStr%', 'Whiff%', 'CSW%', 'GB%', 'FB%', 'LD%', 'Zone%'] | |
todo = ''' | |
**To-do** | |
- Color cells according to percentiles | |
''' | |
def gr_create_pitch_leaderboard(start_date, end_date, min_pitches, pitcher_lr, include_pitches): | |
assert pitcher_lr in ['Both', 'Left', 'Right'] | |
data = data_df.filter(pl.col('ballKind_code') != '-') | |
data = filter_data_by_date_and_game_kind(data, start_date=start_date, end_date=end_date, game_kind='Regular Season') | |
if pitcher_lr != 'Both': | |
data = data.filter(pl.col('batLR') == pitcher_lr[0].lower()) | |
# both, left, right = [ | |
# ( | |
# compute_pitch_stats(df, player_type='pitcher', min_pitches=min_pitches, pitch_class_type='specific') | |
# .filter(pl.col('qualified') & (pl.col('ballKind').is_in(include_pitches))) | |
# .drop('qualified') | |
# .rename({'pitcher_name': 'Pitcher', 'count': 'Count', 'usage': 'Usage', 'ballKind': 'Pitch', 'general_ballKind': 'Pitch (General)'} | {f'{stat}_pctl': f'{stat} (Pctl)' for stat in STATS_WITH_PCTLS}) | |
# .with_columns( | |
# pl.col(stat).mul(100).round(1) | |
# for stat in PCT_STATS + [f'{stat} (Pctl)' for stat in STATS_WITH_PCTLS] | |
# ) | |
# [['pitId', 'ballKind_code', 'Pitcher', 'Pitch', 'Pitch (General)', 'Count', 'Usage'] + STATS_WITH_PCTLS] | |
# ) | |
# for df | |
# in [data, data.filter(pl.col('batLR') == 'l'), data.filter(pl.col('batLR') == 'r')] | |
# ] | |
# pitch_stats = ( | |
# both | |
# .join(left, on=['pitId', 'ballKind_code'], suffix=' (LHH)', how='full') | |
# .join(right, on=['pitId', 'ballKind_code'], suffix=' (RHH)', how='full') | |
# .drop('pitId', 'ballKind_code', *list(chain.from_iterable([[f'{col} ({handedness}HH)' for col in ['pitId', 'ballKind_code', 'Pitcher', 'Pitch', 'Pitch (General)']] for handedness in ('L', 'R')]))) | |
# ) | |
pitch_stats = ( | |
compute_pitch_stats(data, player_type='pitcher', min_pitches=min_pitches, pitch_class_type='specific') | |
.filter(pl.col('qualified') & (pl.col('ballKind').is_in(include_pitches))) | |
.drop('pitId', 'ballKind_code', 'qualified') | |
.rename({'pitcher_name': 'Pitcher', 'count': 'Count', 'usage': 'Usage', 'ballKind': 'Pitch', 'general_ballKind': 'Pitch (General)'} | {f'{stat}_pctl': f'{stat} (Pctl)' for stat in STATS_WITH_PCTLS}) | |
.with_columns( | |
pl.col(stat).mul(100).round(1) | |
for stat in PCT_STATS + [f'{stat} (Pctl)' for stat in STATS_WITH_PCTLS] | |
) | |
[['Pitcher', 'Pitch', 'Pitch (General)'] + STATS] | |
) | |
return pitch_stats | |
def create_pitch_leaderboard(): | |
now = datetime.now() | |
start_datetime_init = datetime(now.year, 1, 1) | |
end_datetime_init = now | |
pitch_types = [pitch_type for pitch_type in ball_kind.values() if pitch_type != '-'] | |
with gr.Blocks() as app: | |
gr.Markdown('# Pitch Leaderboard') | |
with gr.Row(): | |
start_date = gr.DateTime(start_datetime_init, include_time=False, type='datetime', label='Start') | |
end_date = gr.DateTime(end_datetime_init, include_time=False, type='datetime', label='End') | |
with gr.Row(): | |
include_pitches = gr.CheckboxGroup(pitch_types, value=pitch_types, label='Pitches', scale=3) | |
with gr.Column(scale=1): | |
all_pitches = gr.Button('Select/Deselect all pitches', scale=1) | |
min_pitches = gr.Number(100, label='Min. Pitches', precision=0, minimum=0) | |
pitcher_lr = gr.Radio(['Both', 'Left', 'Right'], value='Both', label='Batter handedness') | |
search = gr.Button('Search') | |
leaderboard = gr.DataFrame( | |
pl.DataFrame({'Pitcher': [], 'Pitch': []}), | |
# gr_create_pitch_leaderboard(start_date=start_date_init, end_date=end_date_init, min_pitches=100), | |
column_widths=[200]*3 + [100]*len(STATS), | |
show_copy_button=True, | |
show_search=True, | |
pinned_columns=2 | |
) | |
search.click(gr_create_pitch_leaderboard, inputs=[start_date, end_date, min_pitches, pitcher_lr, include_pitches], outputs=leaderboard) | |
all_pitches.click(lambda _pitch_types : [] if _pitch_types == pitch_types else pitch_types, inputs=include_pitches, outputs=include_pitches) | |
gr.Markdown(todo) | |
return app | |
if __name__ == '__main__': | |
app = create_pitch_leaderboard() | |
app.launch() | |