Refactor salary data processing in app.py: streamline salary conversion by consolidating character removal into a single regex operation, enhancing data integrity and consistency during projections file handling.

app.py

@@ -140,10 +140,6 @@ with tab1:
             if projections is not None:
                 st.success('Projections file loaded successfully!')
                 projections = projections.apply(lambda x: x.replace(player_wrong_names_mlb, player_right_names_mlb))
-                try:
-                    projections['salary'] = projections['salary'].astype(str).str.replace([',', '$', ' '], '', regex=True).astype(int)
-                except:
-                    pass
                 st.dataframe(projections.head(10))
 
     if portfolio_file and projections_file:
@@ -198,7 +194,7 @@ with tab1:
                 st.session_state['projections_df']['ownership'] = st.session_state['projections_df']['ownership']
             
             try:
-                st.session_state['projections_df']['salary'] = (st.session_state['projections_df']['salary'].astype(str).str.replace(',', '').astype(float).astype(int))
+                st.session_state['projections_df']['salary'] = (st.session_state['projections_df']['salary'].astype(str).str.replace([',', '$', ' '], '', regex=True).astype(float).astype(int))
             except:
                 st.session_state['projections_df']['salary'] = st.session_state['projections_df']['salary']