dropping duplicates on init_load for pick6

app.py

@@ -127,6 +127,8 @@ def init_baselines():
     raw_display = pd.DataFrame(worksheet.get_all_records())
     raw_display.replace('', np.nan, inplace=True)
     pick_frame = raw_display.dropna(subset='Player')
+    pick_frame = pick_frame.drop_duplicates(subset=['Player'], keep='first')
+    pick_frame = pick_frame.reset_index(drop=True)
 
     prop_frame['Player'].replace(['Jaren Jackson', 'Nic Claxton', 'Jabari Smith', 'Lu Dort', 'Moe Wagner', 'Kyle Kuzma', 'Trey Murphy', 'Cameron Thomas'],
                                  ['Jaren Jackson Jr.', 'Nicolas Claxton', 'Jabari Smith Jr.', 'Luguentz Dort', 'Moritz Wagner', 'Kyle Kuzma Jr.',
@@ -427,6 +429,7 @@ 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)
+                                    st.table(prop_df)
                                     prop_df = prop_df.sort_values(by='Prop', ascending=False)
                                     prop_df = prop_df.drop_duplicates(subset=['Player'], keep='first')
                                     prop_df = prop_df.reset_index(drop=True)
@@ -439,8 +442,6 @@ with tab5:
                                     over_dict = dict(zip(prop_df.Player, prop_df.Over))
                                     under_dict = dict(zip(prop_df.Player, prop_df.Under))
 
-                                    st.table(prop_df)
-
                                     df = pd.merge(player_stats, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
                                     df = df.reset_index(drop=True)
                                     team_dict = dict(zip(df.Player, df.Team))