Refactor data handling in pitcher tab of Streamlit app

- Consolidated the assignment of the displayed data frame to a single line at the end of the conditional checks, improving code clarity and reducing redundancy.
- Updated the displayed data for 'Current Slate Overview' to drop unnecessary columns, enhancing the relevance of the information presented to users.
- Standardized the naming of the site options in the hitter tab for consistency.

src/streamlit_app.py

@@ -123,7 +123,7 @@ with pitcher_tab:
             disp_raw = disp_raw[disp_raw['Team'].isin(team_var_sp)]
 
         disp_raw = disp_raw[['Player', 'Handedness', 'Team', 'Opp', 'Opp LHH', 'Opp RHH', 'True AVG (LHH)', 'True AVG (RHH)', 'True AVG (Overall)', 'Weighted True AVG']]
-        st.session_state['sp_disp_frame'] = disp_raw
+
     elif table_var_sp == 'HWSr Splits':
         disp_raw = true_avg_split
 
@@ -131,9 +131,16 @@ with pitcher_tab:
             disp_raw = disp_raw[disp_raw['Team'].isin(team_var_sp)]
 
         disp_raw = disp_raw[['Player', 'Handedness', 'Team', 'Opp', 'Opp LHH', 'Opp RHH', 'HWSr (LHH)', 'HWSr (RHH)', 'HWSr (Overall)', 'Weighted HWSr']]
-        st.session_state['sp_disp_frame'] = disp_raw
+        
+
     elif table_var_sp == 'Current Slate Overview':
-        st.session_state['sp_disp_frame'] = starting_pitchers
+        disp_raw = starting_pitchers
+
+        disp_raw = disp_raw.drop(columns = ['Own Adj', 'Perf_Adj'])
+
+        if team_var_sp is not None:
+            disp_raw = disp_raw[disp_raw['Team'].isin(team_var_sp)]
+
     elif table_var_sp == 'Active Baselines':
         disp_raw = pitcher_info
 
@@ -147,27 +154,30 @@ with pitcher_tab:
 
         disp_raw = disp_raw[['Names', 'DK_Salary', 'FD_Salary', 'Team', 'Opp', 'Opp_TT', 'Hand', 'K%', 'BB%', 'True AVG', 'xSLG', 'xBA', 'Hits', 'xHRs', 'xHR/PA']]
         positive_set = ['K%']
-        st.session_state['sp_disp_frame'] = disp_raw
+
     elif table_var_sp == 'League Aggregate Baselines':
         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'] = disp_raw
+
     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'] = disp_raw
 
+    st.session_state['sp_disp_frame'] = disp_raw
     sp_disp_container = st.container(border = True)
     sp_disp_container = sp_disp_container.empty()
     
     with sp_disp_container:
+        if table_var_sp in (['League Aggregate Baselines', 'League Short Term Baselines', 'League Long Term Baselines']):
+            with st.spinner("Full league baselines can take some time to load"):
+                time.sleep(7)
         st.dataframe(st.session_state['sp_disp_frame'].style.background_gradient(axis=0).background_gradient(cmap='RdYlGn_r').format(precision=2), height = 750, use_container_width = True, hide_index = True)
 
 with hitter_tab:
@@ -175,7 +185,7 @@ with hitter_tab:
         st.info('Note: Splits options are available for all baseline tables')
         col1, col2, col3, col4, col5 = st.columns(5)
         with col1:
-            site_var_hitter = st.selectbox('Site', ['DraftKings', 'FanDuel'], key = 'site_var_hitter')
+            site_var_hitter = st.selectbox('Site', ['Draftkings', 'Fanduel'], key = 'site_var_hitter')
         with col2:
             table_var_hitter = st.selectbox('Table', ['Current Slate Overview', 'Active Baselines', 'League Aggregate Baselines', 'League Short Term Baselines', 'League Long Term Baselines'], key = 'table_var_hitter')
         with col3: