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Update app.py
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app.py
CHANGED
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@@ -75,7 +75,7 @@ def init_baselines():
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gamelog_table[data_cols] = gamelog_table[data_cols].apply(pd.to_numeric, errors='coerce')
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gamelog_table['team_score'] = gamelog_table.groupby(['TEAM_NAME', 'GAME_ID'], sort=False)['PTS'].transform('sum')
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gamelog_table['opp_score'] = gamelog_table.groupby(['GAME_ID'], sort=False)['PTS'].transform('sum') - gamelog_table['team_score']
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gamelog_table['spread'] = gamelog_table['opp_score'] - gamelog_table['team_score']
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gamelog_table['GAME_DATE'] = pd.to_datetime(gamelog_table['GAME_DATE']).dt.date
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gamelog_table = gamelog_table.set_axis(['Player', 'Pos', 'game_id', 'Team', 'Opp', 'Season', 'Date', 'Matchup', 'Min', 'Touches', 'Pts', 'FGM', 'FGA', 'FG%', 'FG3M',
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@@ -268,7 +268,7 @@ with tab1:
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elif split_var4 == 'All':
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player_var1 = total_players
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spread_var1 = st.slider("Is there a certain spread range you want to view?",
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min_var1 = st.slider("Is there a certain minutes range you want to view?", 0, 60, (0, 60), key='min_var1')
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@@ -386,7 +386,7 @@ with tab2:
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low_date_t2 = gamelog_table['Date'].min()
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high_date_t2 = gamelog_table['Date'].max()
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spread_var1_t2 = st.slider("Is there a certain spread range you want to view?",
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min_var1_t2 = st.slider("Is there a certain minutes range you want to view?", 0, 60, (0, 60), key='min_var1_t2')
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@@ -470,7 +470,7 @@ with tab3:
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low_date3 = gamelog_table['Date'].min()
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high_date3 = gamelog_table['Date'].max()
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spread_var3 = st.slider("Is there a certain spread range you want to view?",
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min_var3 = st.slider("Is there a certain minutes range you want to view?", 0, 60, (0, 60), key='min_var3')
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gamelog_table[data_cols] = gamelog_table[data_cols].apply(pd.to_numeric, errors='coerce')
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gamelog_table['team_score'] = gamelog_table.groupby(['TEAM_NAME', 'GAME_ID'], sort=False)['PTS'].transform('sum')
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gamelog_table['opp_score'] = gamelog_table.groupby(['GAME_ID'], sort=False)['PTS'].transform('sum') - gamelog_table['team_score']
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gamelog_table['spread'] = (gamelog_table['opp_score'] - gamelog_table['team_score']).abs()
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gamelog_table['GAME_DATE'] = pd.to_datetime(gamelog_table['GAME_DATE']).dt.date
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gamelog_table = gamelog_table.set_axis(['Player', 'Pos', 'game_id', 'Team', 'Opp', 'Season', 'Date', 'Matchup', 'Min', 'Touches', 'Pts', 'FGM', 'FGA', 'FG%', 'FG3M',
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elif split_var4 == 'All':
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player_var1 = total_players
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spread_var1 = st.slider("Is there a certain spread range you want to view?", 0, 100, (0, 100), key='spread_var1')
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min_var1 = st.slider("Is there a certain minutes range you want to view?", 0, 60, (0, 60), key='min_var1')
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low_date_t2 = gamelog_table['Date'].min()
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high_date_t2 = gamelog_table['Date'].max()
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spread_var1_t2 = st.slider("Is there a certain spread range you want to view?", 0, 100, (0, 100), key='spread_var1_t2')
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min_var1_t2 = st.slider("Is there a certain minutes range you want to view?", 0, 60, (0, 60), key='min_var1_t2')
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low_date3 = gamelog_table['Date'].min()
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high_date3 = gamelog_table['Date'].max()
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spread_var3 = st.slider("Is there a certain spread range you want to view?", 0, 100, (0, 100), key='spread_var3')
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min_var3 = st.slider("Is there a certain minutes range you want to view?", 0, 60, (0, 60), key='min_var3')
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