Refactor league variable in app.py: rename 'league_var' to 'league_var2' for clarity and consistency in league selection logic, ensuring proper functionality across data retrieval and display for both NBA and WNBA leagues.

app.py

@@ -501,7 +501,7 @@ with tab2:
     
         col1, col2, col3, col4, col5, col6 = st.columns(6)
         with col1:
-            league_var = st.radio("What League to load:", ('NBA', 'WNBA'), key='league_var')
+            league_var2 = st.radio("What League to load:", ('NBA', 'WNBA'), key='league_var2')
         with col2:
             slate_var1 = st.radio("Which data are you loading?", ('Main Slate', 'Secondary'))
         with col3:
@@ -514,12 +514,12 @@ with tab2:
             lineup_num_var = st.number_input("How many lineups do you want to display?", min_value=1, max_value=1000, value=150, step=1)
         with col6:
             if site_var1 == 'Draftkings':
-                if league_var == 'NBA':
+                if league_var2 == 'NBA':
                     if slate_type_var1 == 'Regular':
                         column_names = dk_nba_columns
                     elif slate_type_var1 == 'Showdown':
                         column_names = dk_nba_sd_columns
-                elif league_var == 'WNBA':
+                elif league_var2 == 'WNBA':
                     if slate_type_var1 == 'Regular':
                         column_names = dk_wnba_columns
                     elif slate_type_var1 == 'Showdown':
@@ -532,12 +532,12 @@ with tab2:
                         player_var2 = dk_raw.Player.values.tolist()
                         
             elif site_var1 == 'Fanduel':
-                if league_var == 'NBA':
+                if league_var2 == 'NBA':
                     if slate_type_var1 == 'Regular':
                         column_names = fd_nba_columns
                     elif slate_type_var1 == 'Showdown':
                         column_names = fd_nba_sd_columns
-                elif league_var == 'WNBA':
+                elif league_var2 == 'WNBA':
                     if slate_type_var1 == 'Regular':
                         column_names = fd_wnba_columns
                     elif slate_type_var1 == 'Showdown':
@@ -552,24 +552,24 @@ with tab2:
     
             if site_var1 == 'Draftkings':
                 if slate_type_var1 == 'Regular':
-                    data_export = init_DK_lineups(slate_var1, league_var)
+                    data_export = init_DK_lineups(slate_var1, league_var2)
                     data_export_names = data_export.copy()
                     for col_idx in range(8):
                         data_export[:, col_idx] = np.array([id_dict.get(player, player) for player in data_export[:, col_idx]])
                 elif slate_type_var1 == 'Showdown':
-                    data_export = init_DK_SD_lineups(slate_var1, league_var)
+                    data_export = init_DK_SD_lineups(slate_var1, league_var2)
                     data_export_names = data_export.copy()
                     for col_idx in range(6):
                         data_export[:, col_idx] = np.array([dk_id_dict_sd.get(player, player) for player in data_export[:, col_idx]])
                 
             elif site_var1 == 'Fanduel':
                 if slate_type_var1 == 'Regular':
-                    data_export = init_FD_lineups(slate_var1, league_var)
+                    data_export = init_FD_lineups(slate_var1, league_var2)
                     data_export_names = data_export.copy()
                     for col_idx in range(9):
                         data_export[:, col_idx] = np.array([id_dict.get(player, player) for player in data_export[:, col_idx]])
                 elif slate_type_var1 == 'Showdown':
-                    data_export = init_FD_SD_lineups(slate_var1, league_var)
+                    data_export = init_FD_SD_lineups(slate_var1, league_var2)
                     data_export_names = data_export.copy()
                     for col_idx in range(6):
                         data_export[:, col_idx] = np.array([fd_id_dict_sd.get(player, player) for player in data_export[:, col_idx]])
@@ -598,17 +598,17 @@ with tab2:
 
         elif 'working_seed' not in st.session_state:
             if slate_type_var1 == 'Regular':
-                st.session_state.working_seed = init_DK_lineups(slate_var1, league_var)
+                st.session_state.working_seed = init_DK_lineups(slate_var1, league_var2)
             elif slate_type_var1 == 'Showdown':
-                st.session_state.working_seed = init_DK_SD_lineups(slate_var1, league_var)
+                st.session_state.working_seed = init_DK_SD_lineups(slate_var1, league_var2)
             st.session_state.working_seed = st.session_state.working_seed
             if player_var1 == 'Specific Players':
                 st.session_state.working_seed = st.session_state.working_seed[np.equal.outer(st.session_state.working_seed, player_var2).any(axis=1).all(axis=1)]
             elif player_var1 == 'Full Slate':
                 if slate_type_var1 == 'Regular':
-                    st.session_state.working_seed = init_DK_lineups(slate_var1, league_var)
+                    st.session_state.working_seed = init_DK_lineups(slate_var1, league_var2)
                 elif slate_type_var1 == 'Showdown':
-                    st.session_state.working_seed = init_DK_SD_lineups(slate_var1, league_var)
+                    st.session_state.working_seed = init_DK_SD_lineups(slate_var1, league_var2)
             st.session_state.data_export_display = pd.DataFrame(st.session_state.working_seed[0:lineup_num_var], columns=column_names)
         
     elif site_var1 == 'Fanduel':
@@ -622,17 +622,17 @@ with tab2:
         
         elif 'working_seed' not in st.session_state:
             if slate_type_var1 == 'Regular':
-                st.session_state.working_seed = init_FD_lineups(slate_var1, league_var)
+                st.session_state.working_seed = init_FD_lineups(slate_var1, league_var2)
             elif slate_type_var1 == 'Showdown':
-                st.session_state.working_seed = init_FD_SD_lineups(slate_var1, league_var)
+                st.session_state.working_seed = init_FD_SD_lineups(slate_var1, league_var2)
             st.session_state.working_seed = st.session_state.working_seed
             if player_var1 == 'Specific Players':
                 st.session_state.working_seed = st.session_state.working_seed[np.equal.outer(st.session_state.working_seed, player_var2).any(axis=1).all(axis=1)]
             elif player_var1 == 'Full Slate':
                 if slate_type_var1 == 'Regular':
-                    st.session_state.working_seed = init_FD_lineups(slate_var1, league_var)
+                    st.session_state.working_seed = init_FD_lineups(slate_var1, league_var2)
                 elif slate_type_var1 == 'Showdown':
-                    st.session_state.working_seed = init_FD_SD_lineups(slate_var1, league_var)
+                    st.session_state.working_seed = init_FD_SD_lineups(slate_var1, league_var2)
             st.session_state.data_export_display = pd.DataFrame(st.session_state.working_seed[0:lineup_num_var], columns=column_names)
 
     export_file = st.session_state.data_export_display.copy()
@@ -656,23 +656,23 @@ with tab2:
             for key in st.session_state.keys():
                 del st.session_state[key]
             if site_var1 == 'Draftkings':
-                if league_var == 'NBA':
+                if league_var2 == 'NBA':
                     if slate_type_var1 == 'Regular':
                         st.session_state.working_seed = dk_nba_lineups.copy()
                     elif slate_type_var1 == 'Showdown':
                         st.session_state.working_seed = dk_nba_sd_lineups.copy()
-                elif league_var == 'WNBA':
+                elif league_var2 == 'WNBA':
                     if slate_type_var1 == 'Regular':
                         st.session_state.working_seed = dk_wnba_lineups.copy()
                     elif slate_type_var1 == 'Showdown':
                         st.session_state.working_seed = dk_wnba_sd_lineups.copy()
             elif site_var1 == 'Fanduel':
-                if league_var == 'NBA':
+                if league_var2 == 'NBA':
                     if slate_type_var1 == 'Regular':
                         st.session_state.working_seed = fd_nba_lineups.copy()
                     elif slate_type_var1 == 'Showdown':
                         st.session_state.working_seed = fd_nba_sd_lineups.copy()
-                elif league_var == 'WNBA':
+                elif league_var2 == 'WNBA':
                     if slate_type_var1 == 'Regular':
                         st.session_state.working_seed = fd_wnba_lineups.copy()
                     elif slate_type_var1 == 'Showdown':
@@ -690,7 +690,7 @@ with tab2:
         if 'working_seed' in st.session_state:
             # Create a new dataframe with summary statistics
             if site_var1 == 'Draftkings':
-                if league_var == 'NBA':
+                if league_var2 == 'NBA':
                     if slate_type_var1 == 'Regular':
                         summary_df = pd.DataFrame({
                         'Metric': ['Min', 'Average', 'Max', 'STDdev'],
@@ -735,7 +735,7 @@ with tab2:
                                 np.std(st.session_state.working_seed[:,12])
                             ]
                         })
-                elif league_var == 'WNBA':
+                elif league_var2 == 'WNBA':
                     if slate_type_var1 == 'Regular':
                         summary_df = pd.DataFrame({
                         'Metric': ['Min', 'Average', 'Max', 'STDdev'],
@@ -782,7 +782,7 @@ with tab2:
                         })
                 
             elif site_var1 == 'Fanduel':
-                if league_var == 'NBA':
+                if league_var2 == 'NBA':
                     if slate_type_var1 == 'Regular':
                         summary_df = pd.DataFrame({
                             'Metric': ['Min', 'Average', 'Max', 'STDdev'],
@@ -827,7 +827,7 @@ with tab2:
                                 np.std(st.session_state.working_seed[:,12])
                             ]
                         })
-                elif league_var == 'WNBA':
+                elif league_var2 == 'WNBA':
                     if slate_type_var1 == 'Regular':
                         summary_df = pd.DataFrame({
                             'Metric': ['Min', 'Average', 'Max', 'STDdev'],
@@ -888,7 +888,7 @@ with tab2:
         tab1, tab2 = st.tabs(["Display Frequency", "Seed Frame Frequency"])
         with tab1:
             if 'data_export_display' in st.session_state:
-                if league_var == 'NBA':
+                if league_var2 == 'NBA':
                     if slate_type_var1 == 'Regular':
                         if site_var1 == 'Draftkings':
                             player_columns = st.session_state.data_export_display.iloc[:, :8]
@@ -899,7 +899,7 @@ with tab2:
                             player_columns = st.session_state.data_export_display.iloc[:, :5]
                         elif site_var1 == 'Fanduel':
                             player_columns = st.session_state.data_export_display.iloc[:, :5]
-                elif league_var == 'WNBA':
+                elif league_var2 == 'WNBA':
                     if slate_type_var1 == 'Regular':
                         if site_var1 == 'Draftkings':
                             player_columns = st.session_state.data_export_display.iloc[:, :7]
@@ -941,7 +941,7 @@ with tab2:
                 )
         with tab2:
             if 'working_seed' in st.session_state:
-                if league_var == 'NBA':
+                if league_var2 == 'NBA':
                     if slate_type_var1 == 'Regular':
                         if site_var1 == 'Draftkings':
                             player_columns = st.session_state.working_seed[:, :8]
@@ -952,7 +952,7 @@ with tab2:
                             player_columns = st.session_state.working_seed[:, :5]
                         elif site_var1 == 'Fanduel':
                             player_columns = st.session_state.working_seed[:, :5]
-                elif league_var == 'WNBA':
+                elif league_var2 == 'WNBA':
                     if slate_type_var1 == 'Regular':
                         if site_var1 == 'Draftkings':
                             player_columns = st.session_state.working_seed[:, :7]