Enhance dataframe styling in Streamlit app for better visual clarity

- Updated the background gradient for the pitcher dataframe to use a reversed color map and applied specific gradient formatting to key statistics.
- Improved overall readability and visual appeal of the displayed data in the pitcher tab.

src/streamlit_app.py

@@ -145,7 +145,7 @@ with pitcher_tab:
     sp_disp_container = sp_disp_container.empty()
     
     with sp_disp_container:
-        st.dataframe(st.session_state['sp_disp_frame'].style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True, hide_index = True)
+        st.dataframe(st.session_state['sp_disp_frame'].style.background_gradient(axis=0).background_gradient(cmap='RdYlGn_r').background_gradient(cmap='RdYlGn', subset=['Strikeoutper', 'Strikeouts', 'K%']).format(precision=2), use_container_width = True, hide_index = True)
 
 with hitter_tab:
     with st.expander('Info and Display Options'):