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Update app.py
Browse files
app.py
CHANGED
@@ -316,7 +316,7 @@ def server(input, output, session):
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df_plot = df_plot[df_plot['batter_hand'].isin(split_dict_hand[input.split_id()])]
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if input.count_id_balls()=='greater' and input.count_id_strikes()=='greater' and int(input.ball_id())==0 and int(input.strike_id())==0:
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ball_title = ''
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@@ -364,6 +364,7 @@ def server(input, output, session):
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df_plot['pitch_type_count_each'] = df_plot.groupby(['pitch_type'])['pitch_type'].cumcount()+1
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#df_plot = df_plot.merge(df_2024_update[['tj_stuff_plus','play_id']],left_on=['play_id'],right_on=['play_id'],how='left')
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df_plot = df_plot.sort_values(by=['pitch_description'])
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grouped_ivb = psf.group_ivb_update(df=df_plot,agg_list=['pitcher_id','pitcher_name','pitcher_hand','pitch_type','pitch_description'])
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grouped_ivb_all = psf.group_ivb_update(df=df_plot,agg_list=['pitcher_id','pitcher_name','pitcher_hand'])
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@@ -621,6 +622,7 @@ def server(input, output, session):
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df_plot['pitch_type_count_each'] = df_plot.groupby(['pitch_type'])['pitch_type'].cumcount()+1
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#df_plot = df_plot.merge(df_2024_update[['tj_stuff_plus','play_id']],left_on=['play_id'],right_on=['play_id'],how='left')
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df_plot = df_plot.sort_values(by=['pitch_description'])
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# ax0.text(x=0.5,y=0.30,s=f'2024 Spring Training',fontname='Calibri',ha='center',fontsize=30,va='top')
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df_plot['game_opp'] = df_plot['game_date'].astype(str) + ' vs ' + df_plot['batter_team'].astype(str)
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df_plot = df_plot[df_plot['batter_hand'].isin(split_dict_hand[input.split_id()])]
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if input.count_id_balls()=='greater' and input.count_id_strikes()=='greater' and int(input.ball_id())==0 and int(input.strike_id())==0:
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ball_title = ''
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df_plot['pitch_type_count_each'] = df_plot.groupby(['pitch_type'])['pitch_type'].cumcount()+1
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#df_plot = df_plot.merge(df_2024_update[['tj_stuff_plus','play_id']],left_on=['play_id'],right_on=['play_id'],how='left')
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df_plot = df_plot.sort_values(by=['pitch_description'])
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df_plot = df_plot.sort_values(by=['start_time'])
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grouped_ivb = psf.group_ivb_update(df=df_plot,agg_list=['pitcher_id','pitcher_name','pitcher_hand','pitch_type','pitch_description'])
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grouped_ivb_all = psf.group_ivb_update(df=df_plot,agg_list=['pitcher_id','pitcher_name','pitcher_hand'])
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df_plot['pitch_type_count_each'] = df_plot.groupby(['pitch_type'])['pitch_type'].cumcount()+1
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#df_plot = df_plot.merge(df_2024_update[['tj_stuff_plus','play_id']],left_on=['play_id'],right_on=['play_id'],how='left')
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df_plot = df_plot.sort_values(by=['pitch_description'])
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df_plot = df_plot.sort_values(by=['start_time'])
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# ax0.text(x=0.5,y=0.30,s=f'2024 Spring Training',fontname='Calibri',ha='center',fontsize=30,va='top')
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df_plot['game_opp'] = df_plot['game_date'].astype(str) + ' vs ' + df_plot['batter_team'].astype(str)
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