Update app.py

app.py

@@ -169,6 +169,12 @@ with tab1:
                     pass
                 projections['salary'] = projections['salary'].dropna().astype(int)
                 projections['ownership'] = projections['ownership'].astype(float)
+                if type_var == 'Showdown':
+                    if projections['captain ownership'].isna().all():
+                        projections['captain ownership raw'] = (projections['ownership'] / 6) + projections['median']
+                        ownership_var = projections['captain ownership raw'].sum() / 100
+                        projections['captain ownership'] = projections['captain ownership raw'] * ownership_var
+                            
                 projections = projections.apply(lambda x: x.replace(player_wrong_names_mlb, player_right_names_mlb))
                 st.dataframe(projections.head(10))