wtf is happening with this pick6 ingest

app.py

@@ -126,7 +126,6 @@ def init_baselines():
     worksheet = sh.worksheet('Pick6_ingest')
     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)
 
@@ -428,12 +427,7 @@ with tab5:
                                 for books in book_selections:
                                     prop_df = prop_df.loc[prop_df['book'] == books]
                                     prop_df = prop_df[['Player', 'book', 'over_prop', 'over_line', 'under_line', 'prop_type']]
-                                    st.table(prop_df)
                                     prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
-                                    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)
-                                    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']
 
@@ -572,10 +566,6 @@ with tab5:
 
                                 prop_df = prop_df[['Player', 'book', 'over_prop', 'over_line', 'under_line', 'prop_type']]
                                 prop_df = prop_df.rename(columns={"over_prop": "Prop"})
-                                prop_df = prop_df.loc[prop_df['Prop'] != 0]
-                                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)
                                 prop_df['Over'] = 1 / prop_df['over_line']
                                 prop_df['Under'] = 1 / prop_df['under_line']