Refactor league variable usage in app.py: replace hardcoded 'NBA' string with direct argument in load_overall_stats function calls, improving code clarity and maintainability.

app.py

@@ -270,8 +270,7 @@ def convert_df(array):
     array = pd.DataFrame(array, columns=column_names)
     return array.to_csv().encode('utf-8')
 
-league_var = 'NBA'
-dk_raw, fd_raw, dk_raw_sec, fd_raw_sec, roo_raw, sd_raw, dk_sd_raw, fd_sd_raw, timestamp = load_overall_stats(league_var)
+dk_raw, fd_raw, dk_raw_sec, fd_raw_sec, roo_raw, sd_raw, dk_sd_raw, fd_sd_raw, timestamp = load_overall_stats('NBA')
 salary_dict = dict(zip(roo_raw.Player, roo_raw.Salary))
 id_dict = dict(zip(roo_raw.Player, roo_raw.player_ID))
 salary_dict_sd = dict(zip(sd_raw.Player, sd_raw.Salary))
@@ -299,8 +298,7 @@ with tab1:
             with col2:
                 if st.button("Load/Reset Data", key='reset1'):
                     st.cache_data.clear()
-                    league_var = 'NBA'
-                    dk_raw, fd_raw, dk_raw_sec, fd_raw_sec, roo_raw, sd_raw, dk_sd_raw, fd_sd_raw, timestamp = load_overall_stats(league_var)
+                    dk_raw, fd_raw, dk_raw_sec, fd_raw_sec, roo_raw, sd_raw, dk_sd_raw, fd_sd_raw, timestamp = load_overall_stats('NBA')
                     salary_dict = dict(zip(roo_raw.Player, roo_raw.Salary))
                     id_dict = dict(zip(roo_raw.Player, roo_raw.player_ID))
                     salary_dict_sd = dict(zip(sd_raw.Player, sd_raw.Salary))
@@ -318,6 +316,7 @@ with tab1:
             view_var2 = st.radio("View Type", ('Simple', 'Advanced'), key='view_var2')
         with col2:
             league_var = st.radio("What League to load:", ('NBA', 'WNBA'), key='league_var')
+            dk_raw, fd_raw, dk_raw_sec, fd_raw_sec, roo_raw, sd_raw, dk_sd_raw, fd_sd_raw, timestamp = load_overall_stats(league_var)
         with col3:
             slate_type_var2 = st.radio("What slate type are you working with?", ('Regular', 'Showdown'), key='slate_type_var2')
         with col4:
@@ -400,8 +399,7 @@ with tab2:
     with st.expander("Info and Filters"):
         if st.button("Load/Reset Data", key='reset2'):
             st.cache_data.clear()
-            league_var = 'NBA'
-            dk_raw, fd_raw, dk_raw_sec, fd_raw_sec, roo_raw, sd_raw, dk_sd_raw, fd_sd_raw, timestamp = load_overall_stats(league_var)
+            dk_raw, fd_raw, dk_raw_sec, fd_raw_sec, roo_raw, sd_raw, dk_sd_raw, fd_sd_raw, timestamp = load_overall_stats('NBA')
             salary_dict = dict(zip(roo_raw.Player, roo_raw.Salary))
             id_dict = dict(zip(roo_raw.Player, roo_raw.player_ID))
             salary_dict_sd = dict(zip(sd_raw.Player, sd_raw.Salary))