James McCool commited on
Commit
7e42d3a
·
1 Parent(s): c6e3488

fixing dupes formula

Browse files
Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -429,7 +429,7 @@ if selected_tab == 'Data Load':
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  working_df['sorted'] = working_df[st.session_state['player_columns']].apply(
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  lambda row: ','.join(sorted(row.values)), axis=1
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  )
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- working_df['dupes'] = working_df.groupby('actual_fpts').transform('size')
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  # Vectorized unique calculations
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  working_df['uniques'] = working_df.groupby('BaseName')['dupes'].transform(
@@ -527,7 +527,7 @@ if selected_tab == 'Data Load':
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  working_df['sorted'] = working_df[st.session_state['player_columns']].apply(
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  lambda row: ','.join(sorted(row.values)), axis=1
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  )
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- working_df['dupes'] = working_df.groupby('actual_fpts').transform('size')
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  # Vectorized unique calculations
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  working_df['uniques'] = working_df.groupby('BaseName')['dupes'].transform(
 
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  working_df['sorted'] = working_df[st.session_state['player_columns']].apply(
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  lambda row: ','.join(sorted(row.values)), axis=1
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  )
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+ working_df['dupes'] = working_df.groupby(['actual_fpts', 'actual_own', 'salary']).transform('size')
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  # Vectorized unique calculations
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  working_df['uniques'] = working_df.groupby('BaseName')['dupes'].transform(
 
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  working_df['sorted'] = working_df[st.session_state['player_columns']].apply(
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  lambda row: ','.join(sorted(row.values)), axis=1
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  )
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+ working_df['dupes'] = working_df.groupby(['actual_fpts', 'actual_own', 'salary']).transform('size')
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  # Vectorized unique calculations
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  working_df['uniques'] = working_df.groupby('BaseName')['dupes'].transform(