Enhance pitcher data display logic in Streamlit app

- Updated dataframe filtering for 'Active Baselines', 'League Aggregate Baselines', 'League Short Term Baselines', and 'League Long Term Baselines' to include splits based on user selection.
- Improved clarity by explicitly defining columns to display for each baseline type.
- Ensured consistent dataframe rendering with index hidden for better presentation.

src/streamlit_app.py

@@ -118,19 +118,34 @@ with pitcher_tab:
     elif table_var_sp == 'Current Slate Overview':
         st.session_state['sp_disp_frame'] = starting_pitchers
     elif table_var_sp == 'Active Baselines':
+        disp_raw = pitcher_info
+        if splits_var_sp != 'Overall':
+            disp_raw = disp_raw[disp_raw['Set'] == splits_var_sp]
+        else:
+            disp_raw = disp_raw[disp_raw['Set'] == 'RHH']
+        disp_raw = disp_raw[['Names', 'DK_Salary', 'FD_Salary', 'Team', 'Opp', 'Opp_TT', 'Hand', 'K%', 'BB%', 'True AVG', 'xSLG', 'xBA', 'xHits', 'xHRs', 'xHR/PA']]
         st.session_state['sp_disp_frame'] = pitcher_info
     elif table_var_sp == 'League Aggregate Baselines':
-        st.session_state['sp_disp_frame'] = pitcher_agg
+        disp_raw = pitcher_agg
+        disp_raw = disp_raw[disp_raw['Set'] == splits_var_sp]
+        disp_raw = disp_raw[['Player', 'PA', 'Hits', 'Singles', 'Doubles', 'Homeruns', 'Strikeoutper', 'Strikeouts', 'Walkper', 'Walks', 'xBA', 'xSLG', 'xwOBA', 'BABIP', 'AVG', 'FB%', 'True_AVG', 'xHits', 'xHRs', 'xHR/PA', 'HWSr']]
+        st.session_state['sp_disp_frame'] = disp_raw
     elif table_var_sp == 'League Short Term Baselines':
+        disp_raw = pitcher_short
+        disp_raw = disp_raw[disp_raw['Set'] == splits_var_sp]
+        disp_raw = disp_raw[['Player', 'PA', 'Hits', 'Singles', 'Doubles', 'Homeruns', 'Strikeoutper', 'Strikeouts', 'Walkper', 'Walks', 'xBA', 'xSLG', 'xwOBA', 'BABIP', 'AVG', 'FB%', 'True_AVG', 'xHits', 'xHRs', 'xHR/PA', 'HWSr']]
         st.session_state['sp_disp_frame'] = pitcher_short
     elif table_var_sp == 'League Long Term Baselines':
+        disp_raw = pitcher_long
+        disp_raw = disp_raw[disp_raw['Set'] == splits_var_sp]
+        disp_raw = disp_raw[['Player', 'PA', 'Hits', 'Singles', 'Doubles', 'Homeruns', 'Strikeoutper', 'Strikeouts', 'Walkper', 'Walks', 'xBA', 'xSLG', 'xwOBA', 'BABIP', 'AVG', 'FB%', 'True_AVG', 'xHits', 'xHRs', 'xHR/PA', 'HWSr']]
         st.session_state['sp_disp_frame'] = pitcher_long
 
     sp_disp_container = st.container(border = True)
     sp_disp_container = sp_disp_container.empty()
     
     with sp_disp_container:
-        st.dataframe(st.session_state['sp_disp_frame'])
+        st.dataframe(st.session_state['sp_disp_frame'], hide_index = True)
 
 with hitter_tab:
     with st.expander('Info and Display Options'):