Spaces:

Multichem
/

NBA_Portfolio_Manager

Sleeping

Multichem commited on Oct 29, 2023

Commit

47b398e

1 Parent(s): 8d7fcd9

Update app.py

Files changed (1) hide show

app.py CHANGED Viewed

@@ -176,7 +176,7 @@ with tab1:
                             display_portfolio = split_portfolio[['PG', 'SG', 'SF', 'PF', 'C', 'G', 'F', 'UTIL', 'Salary', 'Projection', 'Ownership']]
                             st.session_state.display_portfolio = display_portfolio
-                            st.session_state.export_portfolio = st.session_state.display_portfolio.replace(dk_ids, inplace=True)
                             hold_portfolio = display_portfolio.sort_values(by='Projection', ascending=False)
                             st.session_state.player_freq = pd.DataFrame(np.column_stack(np.unique(st.session_state.display_portfolio.iloc[:,0:8].values, return_counts=True)),
@@ -353,7 +353,7 @@ with tab2:
                                   split_portfolio['UTIL'].map(player_own_dict)])
                         st.session_state.display_portfolio = split_portfolio[['PG', 'SG', 'SF', 'PF', 'C', 'G', 'F', 'UTIL', 'Salary', 'Projection', 'Ownership']]
-                        st.session_state.export_portfolio = st.session_state.display_portfolio.replace(dk_ids, inplace=True)
                         hold_portfolio = display_portfolio.sort_values(by='Projection', ascending=False)
                         st.session_state.player_freq = pd.DataFrame(np.column_stack(np.unique(st.session_state.display_portfolio.iloc[:,0:8].values, return_counts=True)),

                             display_portfolio = split_portfolio[['PG', 'SG', 'SF', 'PF', 'C', 'G', 'F', 'UTIL', 'Salary', 'Projection', 'Ownership']]
                             st.session_state.display_portfolio = display_portfolio
+                            st.session_state.export_portfolio = st.session_state.display_portfolio.replace(dk_ids)
                             hold_portfolio = display_portfolio.sort_values(by='Projection', ascending=False)
                             st.session_state.player_freq = pd.DataFrame(np.column_stack(np.unique(st.session_state.display_portfolio.iloc[:,0:8].values, return_counts=True)),
                                   split_portfolio['UTIL'].map(player_own_dict)])
                         st.session_state.display_portfolio = split_portfolio[['PG', 'SG', 'SF', 'PF', 'C', 'G', 'F', 'UTIL', 'Salary', 'Projection', 'Ownership']]
+                        st.session_state.export_portfolio = st.session_state.display_portfolio.replace(dk_ids)
                         hold_portfolio = display_portfolio.sort_values(by='Projection', ascending=False)
                         st.session_state.player_freq = pd.DataFrame(np.column_stack(np.unique(st.session_state.display_portfolio.iloc[:,0:8].values, return_counts=True)),