adjusted some pick6 objects and variables

app.py

@@ -439,21 +439,21 @@ with tab5:
             
                                     df.replace("", 0, inplace=True)
                                     
-                                    if prop == "NBA_GAME_PLAYER_POINTS":
+                                    if prop == "NBA_GAME_PLAYER_POINTS" or prop == "Points":
                                         df['Median'] = df['Points']
-                                    elif prop == "NBA_GAME_PLAYER_REBOUNDS":
+                                    elif prop == "NBA_GAME_PLAYER_REBOUNDS" or prop == "Rebounds":
                                         df['Median'] = df['Rebounds']
-                                    elif prop == "NBA_GAME_PLAYER_ASSISTS":
+                                    elif prop == "NBA_GAME_PLAYER_ASSISTS" or prop == "Assists":
                                         df['Median'] = df['Assists']
-                                    elif prop == "NBA_GAME_PLAYER_3_POINTERS_MADE":
+                                    elif prop == "NBA_GAME_PLAYER_3_POINTERS_MADE" or prop == "3-Pointers Made":
                                         df['Median'] = df['3P']
-                                    elif prop == "NBA_GAME_PLAYER_POINTS_REBOUNDS_ASSISTS":
+                                    elif prop == "NBA_GAME_PLAYER_POINTS_REBOUNDS_ASSISTS" or prop == "Points + Rebounds + Assists":
                                         df['Median'] = df['PRA']
-                                    elif prop == "NBA_GAME_PLAYER_POINTS_REBOUNDS":
+                                    elif prop == "NBA_GAME_PLAYER_POINTS_REBOUNDS" or prop == "Points + Rebounds":
                                         df['Median'] = df['Points'] + df['Rebounds']
-                                    elif prop == "NBA_GAME_PLAYER_POINTS_ASSISTS":
+                                    elif prop == "NBA_GAME_PLAYER_POINTS_ASSISTS" or prop == "Points + Assists":
                                         df['Median'] = df['Points'] + df['Assists']
-                                    elif prop == "NBA_GAME_PLAYER_REBOUNDS_ASSISTS":
+                                    elif prop == "NBA_GAME_PLAYER_REBOUNDS_ASSISTS" or prop == "Assists + Rebounds":
                                         df['Median'] = df['Rebounds'] + df['Assists']
                                         
                                     flex_file = df
@@ -520,14 +520,15 @@ with tab5:
                                 prop_df_raw = prop_frame[['Player', 'book', 'over_prop', 'over_line', 'under_line', 'prop_type']]
                             elif game_select_var == 'Pick6':
                                 prop_df_raw = pick_frame[['Full_name', 'book', 'over_prop', 'over_line', 'under_line', 'prop_type']]
-                                prop_df_raw.rename(columns={"Full_name": "Player"}, inplace = True)
                                 
                             for books in ['FANDUEL', 'DRAFTKINGS', 'BET365', 'CONSENSUS']:
                                 if game_select_var == 'Pick6':
                                     books = 'Pick6'
                                 prop_df = prop_df_raw.loc[prop_df_raw['book'] == books]
-                                if prop_type_var == "NBA_GAME_PLAYER_POINTS" or prop_type_var == "Points":
+                                if prop_type_var == "NBA_GAME_PLAYER_POINTS":
                                     prop_df = prop_df.loc[prop_df['prop_type'] == 'NBA_GAME_PLAYER_POINTS']
+                                elif prop_type_var == "Points":
+                                    prop_df = prop_df.loc[prop_df['prop_type'] == 'Points']
                                     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.loc[prop_df['Prop'] != 0]
@@ -535,8 +536,10 @@ with tab5:
                                     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'])
-                                elif prop_type_var == "NBA_GAME_PLAYER_REBOUNDS" or prop_type_var == "Rebounds":
+                                elif prop_type_var == "NBA_GAME_PLAYER_REBOUNDS":
                                     prop_df = prop_df.loc[prop_df['prop_type'] == 'NBA_GAME_PLAYER_REBOUNDS']
+                                elif prop_type_var == "Rebounds":
+                                    prop_df = prop_df.loc[prop_df['prop_type'] == 'Rebounds']
                                     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.loc[prop_df['Prop'] != 0]
@@ -544,8 +547,10 @@ with tab5:
                                     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'])
-                                elif prop_type_var == "NBA_GAME_PLAYER_ASSISTS" or prop_type_var == "Assists":
+                                elif prop_type_var == "NBA_GAME_PLAYER_ASSISTS":
                                     prop_df = prop_df.loc[prop_df['prop_type'] == 'NBA_GAME_PLAYER_ASSISTS']
+                                elif prop_type_var == "Assists":
+                                    prop_df = prop_df.loc[prop_df['prop_type'] == 'Assists']
                                     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.loc[prop_df['Prop'] != 0]
@@ -553,8 +558,10 @@ with tab5:
                                     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'])
-                                elif prop_type_var == "NBA_GAME_PLAYER_3_POINTERS_MADE" or prop_type_var == "3-Pointers Made":
+                                elif prop_type_var == "NBA_GAME_PLAYER_3_POINTERS_MADE":
                                     prop_df = prop_df.loc[prop_df['prop_type'] == 'NBA_GAME_PLAYER_3_POINTERS_MADE']
+                                elif prop_type_var == "3-Pointers Made":
+                                    prop_df = prop_df.loc[prop_df['prop_type'] == '3-Pointers Made']
                                     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.loc[prop_df['Prop'] != 0]
@@ -562,8 +569,10 @@ with tab5:
                                     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'])
-                                elif prop_type_var == "NBA_GAME_PLAYER_POINTS_REBOUNDS_ASSISTS" or prop_type_var == "Points + Rebounds + Assists":
+                                elif prop_type_var == "NBA_GAME_PLAYER_POINTS_REBOUNDS_ASSISTS":
                                     prop_df = prop_df.loc[prop_df['prop_type'] == 'NBA_GAME_PLAYER_POINTS_REBOUNDS_ASSISTS']
+                                elif prop_type_var == "Points + Rebounds + Assists":
+                                    prop_df = prop_df.loc[prop_df['prop_type'] == 'Points + Rebounds + Assists']
                                     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.loc[prop_df['Prop'] != 0]
@@ -571,8 +580,10 @@ with tab5:
                                     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'])
-                                elif prop_type_var == "NBA_GAME_PLAYER_POINTS_REBOUNDS" or prop_type_var == "Points + Rebounds":
+                                elif prop_type_var == "NBA_GAME_PLAYER_POINTS_REBOUNDS":
                                     prop_df = prop_df.loc[prop_df['prop_type'] == 'NBA_GAME_PLAYER_POINTS_REBOUNDS']
+                                elif prop_type_var == "Points + Rebounds":
+                                    prop_df = prop_df.loc[prop_df['prop_type'] == 'Points + Rebounds']
                                     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.loc[prop_df['Prop'] != 0]
@@ -580,8 +591,10 @@ with tab5:
                                     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'])
-                                elif prop_type_var == "NBA_GAME_PLAYER_POINTS_ASSISTS" or prop_type_var == "Points + Assists":
+                                elif prop_type_var == "NBA_GAME_PLAYER_POINTS_ASSISTS":
                                     prop_df = prop_df.loc[prop_df['prop_type'] == 'NBA_GAME_PLAYER_POINTS_ASSISTS']
+                                elif prop_type_var == "Points + Assists":
+                                    prop_df = prop_df.loc[prop_df['prop_type'] == 'Points + Assists']
                                     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.loc[prop_df['Prop'] != 0]
@@ -589,8 +602,10 @@ with tab5:
                                     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'])
-                                elif prop_type_var == "NBA_GAME_PLAYER_REBOUNDS_ASSISTS" or prop_type_var == "Assists + Rebounds":
+                                elif prop_type_var == "NBA_GAME_PLAYER_REBOUNDS_ASSISTS":
                                     prop_df = prop_df.loc[prop_df['prop_type'] == 'NBA_GAME_PLAYER_REBOUNDS_ASSISTS']
+                                elif prop_type_var == "Assists + Rebounds":
+                                    prop_df = prop_df.loc[prop_df['prop_type'] == 'Assists + Rebounds']
                                     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.loc[prop_df['Prop'] != 0]