Update Streamlit app to sort display frames for both 'Basics' and 'Exclude DFS Info' options, improving data presentation by prioritizing key metrics in the displayed data.

src/streamlit_app.py

@@ -33,12 +33,13 @@ disp_options = st.radio("Display options:", options = ['Basics', 'Exclude DFS In
 if disp_options == 'Basics':
     st.session_state['disp_frame'] = hr_frame[['Player', 'xHR/PA', 'Opp_xHR/PA', 'BP_Binom_xHR', 'Binom_xHR']]
     st.session_state['disp_frame'] = st.session_state['disp_frame'].rename(columns={'xHR/PA': 'Hitter', 'Opp_xHR/PA': 'SP', 'BP_Binom_xHR': 'BP', 'Binom_xHR': 'xHRs'})
+    st.session_state['disp_frame'] = st.session_state['disp_frame'].sort_values(by='xHRs', ascending=False)
 elif disp_options == 'Exclude DFS Info':
     st.session_state['disp_frame'] = hr_frame.drop(columns=['Salary', 'Position', 'FD_Position', 'Order'])
+    st.session_state['disp_frame'] = st.session_state['disp_frame'].sort_values(by='Binom_xHR', ascending=False)
 else:
     st.session_state['disp_frame'] = hr_frame.copy()
-
-st.session_state['disp_frame'] = st.session_state['disp_frame'].sort_values(by='Binom_xHR', ascending=False)
+    st.session_state['disp_frame'] = st.session_state['disp_frame'].sort_values(by='Binom_xHR', ascending=False)
 
 if 'disp_frame' in st.session_state:
     st.dataframe(st.session_state['disp_frame'].style.background_gradient(axis=0).background_gradient(cmap = 'RdYlGn').format(precision=2), height=1200, use_container_width = True, hide_index = True)