sorted df by prop and removed dupes after

app.py

@@ -427,7 +427,8 @@ with tab5:
                                     prop_df = prop_df.loc[prop_df['prop_type'] == prop]
                                     prop_df = prop_df[['Player', 'book', 'over_prop', 'over_line', 'under_line']]
                                     prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
-                                    prop_df = prop_df.drop_duplicates(subset=['Player'])
+                                    prop_df = prop_df.sort_values(by='Prop', ascending=False)
+                                    prop_df = prop_df.drop_duplicates(subset=['Player'], keep='first')
                                     prop_df = prop_df.loc[prop_df['Prop'] != 0]
                                     prop_df['Over'] = 1 / prop_df['over_line']
                                     prop_df['Under'] = 1 / prop_df['under_line']
@@ -567,7 +568,8 @@ with tab5:
                                 prop_df = prop_df[['Player', 'book', 'over_prop', 'over_line', 'under_line']]
                                 prop_df = prop_df.rename(columns={"over_prop": "Prop"})
                                 prop_df = prop_df.loc[prop_df['Prop'] != 0]
-                                prop_df = prop_df.drop_duplicates(subset=['Player'])
+                                prop_df = prop_df.sort_values(by='Prop', ascending=False)
+                                prop_df = prop_df.drop_duplicates(subset=['Player'], keep='first')
                                 prop_df['Over'] = 1 / prop_df['over_line']
                                 prop_df['Under'] = 1 / prop_df['under_line']
                                 df = pd.merge(player_stats, prop_df, how='left', left_on=['Player'], right_on = ['Player'])