Update app.py

app.py

@@ -61,6 +61,7 @@ def init_baselines():
     raw_display.replace('', np.nan, inplace=True)
     raw_display = raw_display[['NBAID', 'PID', 'Player', 'TC', 'MP (Today)', 'Next Game', 'H/R', 'Injury Notes', 'Player Impact per 48', 'Player Impact',
                                'Team PM', 'Last Updated']]
+    raw_display.apply(pd.to_numeric, errors='coerce').fillna(raw_display)
     public_minutes = raw_display[raw_display['NBAID'] != ""]
 
     sh = gcservice_account.open_by_url(NBABettingModel)
@@ -73,6 +74,7 @@ def init_baselines():
     raw_display.replace('', np.nan, inplace=True)
     raw_display = raw_display[['PID', 'Player', 'Team', 'Avg Minutes last 30 days for team', 'Minutes Projection', 'Rotation Impact (versus last 30 days)',
                                'Injury Notes', 'Minute Change', 'Baseline Team PM', 'Net Rotation PM +/- for Team', 'Projected PM for Game', 'Offset', 'Rank']]
+    raw_display.apply(pd.to_numeric, errors='coerce').fillna(raw_display)
     player_impact = raw_display[raw_display['PID'] != ""]
 
     return public_minutes, player_impact
@@ -98,9 +100,9 @@ with tab1:
     player_min_disp = player_min_disp.sort_values(by=['TC', 'MP (Today)'], ascending=[False, True])
     st.dataframe(player_min_disp.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True)
     st.download_button(
-        label="Export Prop Model",
+        label="Export Minutes Baselines",
         data=convert_df_to_csv(public_minutes),
-        file_name='AmericanNumbers_stats_export.csv',
+        file_name='AmericanNumbers_Min_Baseline_export.csv',
         mime='text/csv',
     )
 
@@ -118,8 +120,8 @@ with tab2:
     player_impact_disp = player_impact_disp.sort_values(by=['Team', 'Rotation Impact (versus last 30 days)'], ascending=[False, True])
     st.dataframe(player_impact_disp.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True)
     st.download_button(
-        label="Export Prop Model",
+        label="Export Player Impacts",
         data=convert_df_to_csv(player_impact),
-        file_name='AmericanNumbers_stats_export.csv',
+        file_name='AmericanNumbers_Impact_export.csv',
         mime='text/csv',
     )