Refactor general exposures dataframe handling in create_general_exposures function

- Introduced a new approach for creating and merging the general exposures dataframe, enhancing code clarity and maintainability.
- Updated the logic to ensure proper concatenation of dataframes, improving the accuracy of displayed statistics.
- Maintained existing functionality while refining the data processing workflow for better performance.

global_func/create_general_exposures.py

@@ -5,6 +5,7 @@ def create_general_exposures(df: pd.DataFrame, entrants: list = None):
     check_cols = ['salary', 'actual_fpts', 'actual_own', 'dupes']
     general_exposures = pd.DataFrame()
     for each_col in check_cols:
+        general_frame = pd.DataFrame()
         
         if entrants is not None:
             overall_general = pd.Series(list(df[df['BaseName'].isin(entrants)][each_col])).sum()
@@ -25,17 +26,19 @@ def create_general_exposures(df: pd.DataFrame, entrants: list = None):
         general_count_var = 0
         for each_general in each_general_set:
             st.write(f'{each_col} Sum is {each_general}, Average is {each_general / each_general_len_set[general_count_var]}')
-            general_frame = pd.DataFrame({
-                'Stat': [each_col],
-                'Average': [each_general / each_general_len_set[general_count_var]]
-            })
+            general_frame['Stat'] = [each_col]
+            general_frame['Average'] = [each_general / each_general_len_set[general_count_var]]
             st.write(general_frame)
             general_frame = general_frame.rename(columns={'Average': f'Average {each_set_name[general_count_var]}'})
             if len(general_exposures) == 0:
-                general_exposures = general_frame
+                general_row = general_frame
             else:
-                general_exposures = pd.merge(general_exposures, general_frame, on='Stat', how='outer')
+                general_row = pd.merge(general_exposures, general_frame, on='Stat', how='outer')
             general_count_var += 1
             st.write(general_exposures)
+        if len(general_exposures) == 0:
+            general_exposures = general_row
+        else:
+            general_exposures = pd.concat([general_exposures, general_frame], ignore_index = True)
 
     return general_exposures