Enhance general exposures dataframe in create_general_exposures function

- Updated the replacement of specific column names in the general exposures dataframe for improved clarity and consistency in presentation.
- Ensured the dataframe maintains its existing functionality while refining the output for better user understanding.

app.py

@@ -293,15 +293,13 @@ with tab2:
                 if entry_parse_var == 'All':
                     st.session_state['general_frame'] = create_general_exposures(working_df)
                     st.dataframe(st.session_state['general_frame'].
-                        style.background_gradient(axis=1).
-                        background_gradient(cmap='RdYlGn').
+                        style.background_gradient(cmap='RdYlGn', axis=1).
                         format(precision=2),
                         hide_index=True)
                 else:
                     st.session_state['general_frame'] = create_general_exposures(working_df, entry_names)
                     st.dataframe(st.session_state['general_frame'].
-                        style.background_gradient(axis=1).
-                        background_gradient(cmap='RdYlGn').
+                        style.background_gradient(cmap='RdYlGn', axis=1).
                         format(precision=2),
                         hide_index=True)
 

global_func/create_general_exposures.py

@@ -36,5 +36,5 @@ def create_general_exposures(df: pd.DataFrame, entrants: list = None):
             general_exposures = general_row
         else:
             general_exposures = pd.concat([general_exposures, general_frame], ignore_index = True, axis = 0)
-
+    general_exposures = general_exposures.replace(['salary', 'actual_fpts', 'actual_own', 'dupes'], ['Salary Used', 'Finishing Points', 'Total Ownership', 'Duplications'])
     return general_exposures