Multichem commited on
Commit
8042150
·
1 Parent(s): f89061c

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +1 -2
app.py CHANGED
@@ -963,7 +963,6 @@ with tab2:
963
  # Initial setup
964
  Sim_Winner_Frame = pd.DataFrame(np.concatenate(Sim_Winners), columns=FinalPortfolio.columns.tolist() + ['Fantasy'])
965
  Sim_Winner_Frame['GPP_Proj'] = (Sim_Winner_Frame['Projection'] + Sim_Winner_Frame['Fantasy']) / 2
966
- Sim_Winner_Frame = Sim_Winner_Frame.sort_values(by='GPP_Proj', ascending=False).copy()
967
  Sim_Winner_Frame['unique_id'] = Sim_Winner_Frame['Projection'].astype(str) + Sim_Winner_Frame['Salary'].astype(str) + Sim_Winner_Frame['Own'].astype(str)
968
  Sim_Winner_Frame = Sim_Winner_Frame.assign(win_count=Sim_Winner_Frame['unique_id'].map(Sim_Winner_Frame['unique_id'].value_counts()))
969
 
@@ -974,7 +973,7 @@ with tab2:
974
  del FinalPortfolio, insert_port, type_cast_dict
975
 
976
  # Sorting
977
- st.session_state.Sim_Winner_Frame = Sim_Winner_Frame.sort_values(by='win_count', ascending=False).copy().drop_duplicates(subset='unique_id').head(100)
978
  st.session_state.Sim_Winner_Frame.drop(columns='unique_id', inplace=True)
979
 
980
  # Data Copying
 
963
  # Initial setup
964
  Sim_Winner_Frame = pd.DataFrame(np.concatenate(Sim_Winners), columns=FinalPortfolio.columns.tolist() + ['Fantasy'])
965
  Sim_Winner_Frame['GPP_Proj'] = (Sim_Winner_Frame['Projection'] + Sim_Winner_Frame['Fantasy']) / 2
 
966
  Sim_Winner_Frame['unique_id'] = Sim_Winner_Frame['Projection'].astype(str) + Sim_Winner_Frame['Salary'].astype(str) + Sim_Winner_Frame['Own'].astype(str)
967
  Sim_Winner_Frame = Sim_Winner_Frame.assign(win_count=Sim_Winner_Frame['unique_id'].map(Sim_Winner_Frame['unique_id'].value_counts()))
968
 
 
973
  del FinalPortfolio, insert_port, type_cast_dict
974
 
975
  # Sorting
976
+ st.session_state.Sim_Winner_Frame = Sim_Winner_Frame.sort_values(by=['win_count', 'GPP_Proj'], ascending= [False, False]).copy().drop_duplicates(subset='unique_id').head(100)
977
  st.session_state.Sim_Winner_Frame.drop(columns='unique_id', inplace=True)
978
 
979
  # Data Copying