James McCool commited on
Commit
b7994bd
·
1 Parent(s): 9fc32b1
Files changed (1) hide show
  1. src/streamlit_app.py +10 -10
src/streamlit_app.py CHANGED
@@ -135,21 +135,21 @@ def init_macro_tables():
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  team_off_frame = team_off_frame.reset_index(drop=True)
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  team_off_frame = team_off_frame.drop(columns=['PLUS_MINUS', 'PF', 'Data'], axis=1)
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  team_off_frame = team_off_frame.apply(pd.to_numeric, errors='coerce').fillna(team_off_frame)
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- team_macro_frame['PTS/m'] = team_macro_frame['PTS'] / team_macro_frame['MIN']
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- team_macro_frame['REB/m'] = team_macro_frame['REB'] / team_macro_frame['MIN']
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- team_macro_frame['AST/m'] = team_macro_frame['AST'] / team_macro_frame['MIN']
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- team_macro_frame['STL/m'] = team_macro_frame['STL'] / team_macro_frame['MIN']
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- team_macro_frame['BLK/m'] = team_macro_frame['BLK'] / team_macro_frame['MIN']
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  team_def_frame = team_macro_frame[team_macro_frame['Data'] == 'Def']
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  team_def_frame = team_def_frame.reset_index(drop=True)
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  team_off_frame = team_off_frame.drop(columns=['PLUS_MINUS', 'PF', 'Data'], axis=1)
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  team_def_frame = team_def_frame.apply(pd.to_numeric, errors='coerce').fillna(team_def_frame)
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- team_macro_frame['PTS/m'] = team_macro_frame['PTS'] / team_macro_frame['MIN']
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- team_macro_frame['REB/m'] = team_macro_frame['REB'] / team_macro_frame['MIN']
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- team_macro_frame['AST/m'] = team_macro_frame['AST'] / team_macro_frame['MIN']
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- team_macro_frame['STL/m'] = team_macro_frame['STL'] / team_macro_frame['MIN']
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- team_macro_frame['BLK/m'] = team_macro_frame['BLK'] / team_macro_frame['MIN']
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  team_combo_json = requests.get(NBA_DATA + '?sheet=Team%20Combo%20Data').json()
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  team_combo_frame = pd.DataFrame(team_combo_json)
 
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  team_off_frame = team_off_frame.reset_index(drop=True)
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  team_off_frame = team_off_frame.drop(columns=['PLUS_MINUS', 'PF', 'Data'], axis=1)
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  team_off_frame = team_off_frame.apply(pd.to_numeric, errors='coerce').fillna(team_off_frame)
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+ team_off_frame['PTS/m'] = team_off_frame['PTS'] / team_off_frame['MIN']
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+ team_off_frame['REB/m'] = team_off_frame['REB'] / team_off_frame['MIN']
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+ team_off_frame['AST/m'] = team_off_frame['AST'] / team_off_frame['MIN']
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+ team_off_frame['STL/m'] = team_off_frame['STL'] / team_off_frame['MIN']
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+ team_off_frame['BLK/m'] = team_off_frame['BLK'] / team_off_frame['MIN']
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  team_def_frame = team_macro_frame[team_macro_frame['Data'] == 'Def']
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  team_def_frame = team_def_frame.reset_index(drop=True)
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  team_off_frame = team_off_frame.drop(columns=['PLUS_MINUS', 'PF', 'Data'], axis=1)
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  team_def_frame = team_def_frame.apply(pd.to_numeric, errors='coerce').fillna(team_def_frame)
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+ team_def_frame['PTS/m'] = team_def_frame['PTS'] / team_def_frame['MIN']
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+ team_def_frame['REB/m'] = team_def_frame['REB'] / team_def_frame['MIN']
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+ team_def_frame['AST/m'] = team_def_frame['AST'] / team_def_frame['MIN']
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+ team_def_frame['STL/m'] = team_def_frame['STL'] / team_def_frame['MIN']
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+ team_def_frame['BLK/m'] = team_def_frame['BLK'] / team_def_frame['MIN']
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  team_combo_json = requests.get(NBA_DATA + '?sheet=Team%20Combo%20Data').json()
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  team_combo_frame = pd.DataFrame(team_combo_json)