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league_dfs_models

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Multichem commited on May 23, 2025

Commit

d473159

verified ·

1 Parent(s): 5f95eed

Update app.py

Files changed (1) hide show

app.py CHANGED Viewed

@@ -246,7 +246,7 @@ with tab2:
     elif pos_var1 != 'All':
           display = display[display['Position'].str.contains(pos_var1)]
     display = display.drop(columns=['type', 'league', 'Timestamp'])
-    display['Cpt_Own'] = ((display['Own']) * ((100 - (100-display['Own'])))) / 100
     st.dataframe(display.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), height=750, use_container_width = True)
     st.download_button(
         label="Export Range of Outcomes",

     elif pos_var1 != 'All':
           display = display[display['Position'].str.contains(pos_var1)]
     display = display.drop(columns=['type', 'league', 'Timestamp'])
+    display['Cpt_Own'] = ((display['Own']) * ((100 - (100-display['Own'])))) / 300
     st.dataframe(display.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), height=750, use_container_width = True)
     st.download_button(
         label="Export Range of Outcomes",