Enhance player name mapping to handle NaN values by filling them with original names, improving data integrity during processing.

src/streamlit_app.py

@@ -80,7 +80,7 @@ def init_handbuilder_data(site_var):
         raw_display = raw_display[['Player', 'Position', 'Team', 'Opp', 'Salary', 'Floor', 'Median', 'Ceiling', 'Top_finish', 'Top_5_finish', 'Top_10_finish', '20+%', '2x%', '3x%', '4x%',
                                    'Own', 'Small_Field_Own', 'Large_Field_Own', 'Cash_Field_Own', 'CPT_Own', 'LevX', 'version', 'slate', 'timestamp', 'player_id', 'site']]
         load_display = raw_display[raw_display['Position'] != 'K']
-        load_display['Player'] = load_display['Player'].map(dict(zip(wrong_team_names, right_name_teams)), na_action='ignore')
+        load_display['Player'] = load_display['Player'].map(dict(zip(wrong_team_names, right_name_teams)), na_action='ignore').fillna(load_display['Player'])
         return load_display.dropna(subset=['Median'])
     else:
         collection = db["FD_NFL_ROO"] 
@@ -90,7 +90,7 @@ def init_handbuilder_data(site_var):
         raw_display = raw_display[['Player', 'Position', 'Team', 'Opp', 'Salary', 'Floor', 'Median', 'Ceiling', 'Top_finish', 'Top_5_finish', 'Top_10_finish', '20+%', '2x%', '3x%', '4x%',
                                    'Own', 'Small_Field_Own', 'Large_Field_Own', 'Cash_Field_Own', 'CPT_Own', 'LevX', 'version', 'slate', 'timestamp', 'player_id', 'site']]
         load_display = raw_display[raw_display['Position'] != 'K']
-        load_display['Player'] = load_display['Player'].map(dict(zip(wrong_team_names, right_name_teams)), na_action='ignore')
+        load_display['Player'] = load_display['Player'].map(dict(zip(wrong_team_names, right_name_teams)), na_action='ignore').fillna(load_display['Player'])
         return load_display.dropna(subset=['Median'])
 
 @st.cache_resource(ttl=60)
@@ -102,7 +102,7 @@ def init_baselines():
     raw_display = pd.DataFrame(list(cursor))
     raw_display = raw_display[['name', 'Team', 'Opp', 'Position', 'Salary', 'team_plays', 'team_pass', 'team_rush', 'team_tds', 'team_pass_tds', 'team_rush_tds', 'dropbacks', 'pass_yards', 'pass_tds',
                                'rush_att', 'rush_yards', 'rush_tds', 'targets', 'rec', 'rec_yards', 'rec_tds', 'PPR', 'Half_PPR', 'Own']]
-    raw_display['name'] = raw_display['name'].map(dict(zip(wrong_team_names, right_name_teams)), na_action='ignore')
+    raw_display['name'] = raw_display['name'].map(dict(zip(wrong_team_names, right_name_teams)), na_action='ignore').fillna(raw_display['name'])
     player_stats = raw_display[raw_display['Position'] != 'K']
 
     collection = db["DK_NFL_ROO"] 
@@ -112,7 +112,7 @@ def init_baselines():
     raw_display = raw_display.rename(columns={'player_ID': 'player_id'})
     raw_display = raw_display[['Player', 'Position', 'Team', 'Opp', 'Salary', 'Floor', 'Median', 'Ceiling', 'Top_finish', 'Top_5_finish', 'Top_10_finish', '20+%', '2x%', '3x%', '4x%',
                                'Own', 'Small_Field_Own', 'Large_Field_Own', 'Cash_Field_Own', 'CPT_Own', 'LevX', 'version', 'slate', 'timestamp', 'player_id', 'site']]
-    raw_display['Player'] = raw_display['Player'].map(dict(zip(wrong_team_names, right_name_teams)), na_action='ignore')
+    raw_display['Player'] = raw_display['Player'].map(dict(zip(wrong_team_names, right_name_teams)), na_action='ignore').fillna(raw_display['Player'])
     load_display = raw_display[raw_display['Position'] != 'K']
     dk_roo_raw = load_display.dropna(subset=['Median'])
 
@@ -125,7 +125,7 @@ def init_baselines():
     raw_display = raw_display.rename(columns={'player_ID': 'player_id'})
     raw_display = raw_display[['Player', 'Position', 'Team', 'Opp', 'Salary', 'Floor', 'Median', 'Ceiling', 'Top_finish', 'Top_5_finish', 'Top_10_finish', '20+%', '2x%', '3x%', '4x%',
                                'Own', 'Small_Field_Own', 'Large_Field_Own', 'Cash_Field_Own', 'CPT_Own', 'LevX', 'version', 'slate', 'timestamp', 'player_id', 'site']]
-    raw_display['Player'] = raw_display['Player'].map(dict(zip(wrong_team_names, right_name_teams)), na_action='ignore')
+    raw_display['Player'] = raw_display['Player'].map(dict(zip(wrong_team_names, right_name_teams)), na_action='ignore').fillna(raw_display['Player'])
     load_display = raw_display[raw_display['Position'] != 'K']
     fd_roo_raw = load_display.dropna(subset=['Median'])
 
@@ -138,7 +138,7 @@ def init_baselines():
     raw_display = raw_display.rename(columns={'player_ID': 'player_id'})
     raw_display = raw_display[['Player', 'Position', 'Team', 'Opp', 'Salary', 'Floor', 'Median', 'Ceiling', 'Top_finish', 'Top_5_finish', 'Top_10_finish', '20+%', '2x%', '3x%', '4x%',
                                'Own', 'Small_Field_Own', 'Large_Field_Own', 'Cash_Field_Own', 'CPT_Own', 'LevX', 'version', 'slate', 'timestamp', 'player_id', 'site']]
-    raw_display['Player'] = raw_display['Player'].map(dict(zip(wrong_team_names, right_name_teams)), na_action='ignore')
+    raw_display['Player'] = raw_display['Player'].map(dict(zip(wrong_team_names, right_name_teams)), na_action='ignore').fillna(raw_display['Player'])
     # load_display = raw_display[raw_display['Position'] != 'K']
     dk_sd_roo_raw = raw_display.dropna(subset=['Median'])
 
@@ -151,7 +151,7 @@ def init_baselines():
     raw_display = raw_display.rename(columns={'player_ID': 'player_id'})
     raw_display = raw_display[['Player', 'Position', 'Team', 'Opp', 'Salary', 'Floor', 'Median', 'Ceiling', 'Top_finish', 'Top_5_finish', 'Top_10_finish', '20+%', '2x%', '3x%', '4x%',
                                'Own', 'Small_Field_Own', 'Large_Field_Own', 'Cash_Field_Own', 'CPT_Own', 'LevX', 'version', 'slate', 'timestamp', 'player_id', 'site']]
-    raw_display['Player'] = raw_display['Player'].map(dict(zip(wrong_team_names, right_name_teams)), na_action='ignore')
+    raw_display['Player'] = raw_display['Player'].map(dict(zip(wrong_team_names, right_name_teams)), na_action='ignore').fillna(raw_display['Player'])
     # load_display = raw_display[raw_display['Position'] != 'K']
     fd_sd_roo_raw = raw_display.dropna(subset=['Median'])
 
@@ -184,7 +184,7 @@ def init_DK_lineups(type_var, slate_var, prio_var, prio_mix):
             collection = db['DK_NFL_name_map']
             cursor = collection.find()
             raw_data = pd.DataFrame(list(cursor))
-            raw_data['value'] = raw_data['value'].map(dict(zip(wrong_team_names, right_name_teams)), na_action='ignore')
+            raw_data['value'] = raw_data['value'].map(dict(zip(wrong_team_names, right_name_teams)), na_action='ignore').fillna(raw_data['value'])
             names_dict = dict(zip(raw_data['key'], raw_data['value']))
 
             collection = db['DK_NFL_seed_frame']
@@ -204,7 +204,7 @@ def init_DK_lineups(type_var, slate_var, prio_var, prio_mix):
             collection = db['DK_NFL_Secondary_name_map']
             cursor = collection.find()
             raw_data = pd.DataFrame(list(cursor))
-            raw_data['value'] = raw_data['value'].map(dict(zip(wrong_team_names, right_name_teams)), na_action='ignore')
+            raw_data['value'] = raw_data['value'].map(dict(zip(wrong_team_names, right_name_teams)), na_action='ignore').fillna(raw_data['value'])
             names_dict = dict(zip(raw_data['key'], raw_data['value']))
             
             collection = db['DK_NFL_Secondary_seed_frame']
@@ -224,7 +224,7 @@ def init_DK_lineups(type_var, slate_var, prio_var, prio_mix):
             collection = db['DK_NFL_Late_name_map']
             cursor = collection.find()
             raw_data = pd.DataFrame(list(cursor))
-            raw_data['value'] = raw_data['value'].map(dict(zip(wrong_team_names, right_name_teams)), na_action='ignore')
+            raw_data['value'] = raw_data['value'].map(dict(zip(wrong_team_names, right_name_teams)), na_action='ignore').fillna(raw_data['value'])
             names_dict = dict(zip(raw_data['key'], raw_data['value']))
             
             collection = db['DK_NFL_Late_seed_frame']
@@ -253,7 +253,7 @@ def init_DK_lineups(type_var, slate_var, prio_var, prio_mix):
 
             raw_display = raw_display[['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
             for column in ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5']:
-                raw_display[column] = raw_display[column].map(dict(zip(wrong_team_names, right_name_teams)), na_action='ignore')
+                raw_display[column] = raw_display[column].map(dict(zip(wrong_team_names, right_name_teams)), na_action='ignore').fillna(raw_display[column])
         elif slate_var == 'Secondary':
             collection = db['DK_NFL_Secondary_SD_seed_frame']
             if prio_var == None:
@@ -266,7 +266,7 @@ def init_DK_lineups(type_var, slate_var, prio_var, prio_mix):
 
             raw_display = raw_display[['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
             for column in ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5']:
-                raw_display[column] = raw_display[column].map(dict(zip(wrong_team_names, right_name_teams)), na_action='ignore')
+                raw_display[column] = raw_display[column].map(dict(zip(wrong_team_names, right_name_teams)), na_action='ignore').fillna(raw_display[column])
         elif slate_var == 'Auxiliary':
             collection = db['DK_NFL_Auxiliary_SD_seed_frame']
             if prio_var == None:
@@ -279,7 +279,7 @@ def init_DK_lineups(type_var, slate_var, prio_var, prio_mix):
 
             raw_display = raw_display[['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
             for column in ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5']:
-                raw_display[column] = raw_display[column].map(dict(zip(wrong_team_names, right_name_teams)), na_action='ignore')
+                raw_display[column] = raw_display[column].map(dict(zip(wrong_team_names, right_name_teams)), na_action='ignore').fillna(raw_display[column])
 
     DK_seed = raw_display.to_numpy()
 
@@ -296,7 +296,7 @@ def init_FD_lineups(type_var, slate_var, prio_var, prio_mix):
             collection = db['FD_NFL_name_map']
             cursor = collection.find()
             raw_data = pd.DataFrame(list(cursor))
-            raw_data['value'] = raw_data['value'].map(dict(zip(wrong_team_names, right_name_teams)))
+            raw_data['value'] = raw_data['value'].map(dict(zip(wrong_team_names, right_name_teams)), na_action='ignore').fillna(raw_data['value'])
             names_dict = dict(zip(raw_data['key'], raw_data['value']))
 
 
@@ -317,7 +317,7 @@ def init_FD_lineups(type_var, slate_var, prio_var, prio_mix):
             collection = db['FD_NFL_Secondary_name_map']
             cursor = collection.find()
             raw_data = pd.DataFrame(list(cursor))
-            raw_data['value'] = raw_data['value'].map(dict(zip(wrong_team_names, right_name_teams)))
+            raw_data['value'] = raw_data['value'].map(dict(zip(wrong_team_names, right_name_teams)), na_action='ignore').fillna(raw_data['value'])
             names_dict = dict(zip(raw_data['key'], raw_data['value']))
 
             collection = db['FD_NFL_Secondary_seed_frame']
@@ -337,7 +337,7 @@ def init_FD_lineups(type_var, slate_var, prio_var, prio_mix):
             collection = db['FD_NFL_Late_name_map']
             cursor = collection.find()
             raw_data = pd.DataFrame(list(cursor))
-            raw_data['value'] = raw_data['value'].map(dict(zip(wrong_team_names, right_name_teams)))
+            raw_data['value'] = raw_data['value'].map(dict(zip(wrong_team_names, right_name_teams)), na_action='ignore').fillna(raw_data['value'])
             names_dict = dict(zip(raw_data['key'], raw_data['value']))
 
             collection = db['FD_NFL_Late_seed_frame']
@@ -367,7 +367,7 @@ def init_FD_lineups(type_var, slate_var, prio_var, prio_mix):
 
             raw_display = raw_display[['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
             for column in ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5']:
-                raw_display[column] = raw_display[column].map(dict(zip(wrong_team_names, right_name_teams)))
+                raw_display[column] = raw_display[column].map(dict(zip(wrong_team_names, right_name_teams)), na_action='ignore').fillna(raw_display[column])
         elif slate_var == 'Secondary':
             collection = db['FD_NFL_Secondary_SD_seed_frame']
             if prio_var == None:
@@ -380,7 +380,7 @@ def init_FD_lineups(type_var, slate_var, prio_var, prio_mix):
 
             raw_display = raw_display[['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
             for column in ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5']:
-                raw_display[column] = raw_display[column].map(dict(zip(wrong_team_names, right_name_teams)))
+                raw_display[column] = raw_display[column].map(dict(zip(wrong_team_names, right_name_teams)), na_action='ignore').fillna(raw_display[column])
         elif slate_var == 'Auxiliary':
             collection = db['FD_NFL_Auxiliary_SD_seed_frame']
             if prio_var == None:
@@ -393,7 +393,7 @@ def init_FD_lineups(type_var, slate_var, prio_var, prio_mix):
 
             raw_display = raw_display[['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
             for column in ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5']:
-                raw_display[column] = raw_display[column].map(dict(zip(wrong_team_names, right_name_teams)))
+                raw_display[column] = raw_display[column].map(dict(zip(wrong_team_names, right_name_teams)), na_action='ignore').fillna(raw_display[column])
 
     FD_seed = raw_display.to_numpy()