Update app.py

app.py

@@ -135,7 +135,7 @@ with tab3:
                         flex_file = df.copy()
                         flex_file.rename(columns={"Name": "Player"}, inplace = True)
                         flex_file['Floor'] = (flex_file['Median'] * .25)
-                        flex_file['Ceiling'] = np.where((flex_file['Median'] * flex_file['Ceiling_var']) * 1.25 > stat_cap, stat_cap - (flex_file['Median']/10), (flex_file['Median'] * flex_file['Ceiling_var']) * 1.25)
+                        flex_file['Ceiling'] = np.where((flex_file['Median'] * flex_file['Ceiling_var']) * 1.25 > stat_cap, stat_cap + (flex_file['Median']/10), (flex_file['Median'] * flex_file['Ceiling_var']) * 1.25)
                         flex_file['STD'] = (flex_file['Median']/3)
                         flex_file = flex_file[['Player', 'Floor', 'Median', 'Ceiling', 'STD']]
 
@@ -225,7 +225,7 @@ with tab4:
                         flex_file = df.copy()
                         flex_file.rename(columns={"Name": "Player"}, inplace = True)
                         flex_file['Floor'] = (flex_file['Median'] * .15)
-                        flex_file['Ceiling'] = np.where((flex_file['Median'] * flex_file['Ceiling_var']) * 1.5 > stat_cap, stat_cap + (flex_file['Median']/10), (flex_file['Median'] * flex_file['Ceiling_var']) * 1.5)
+                        flex_file['Ceiling'] = np.where((flex_file['Median'] * flex_file['Ceiling_var']) * 1.85 > stat_cap, stat_cap + (flex_file['Median']/10), (flex_file['Median'] * flex_file['Ceiling_var']) * 1.85)
                         flex_file['STD'] = (flex_file['Median']/2)
                         flex_file = flex_file[['Player', 'Floor', 'Median', 'Ceiling', 'STD']]