adding some styling, clean up

src/streamlit_app.py

@@ -17,6 +17,8 @@ percentages_format = {'Pts% Boost': '{:.2%}', 'Reb% Boost': '{:.2%}', 'Ast% Boos
                       'Stl Boost%': '{:.2%}', 'Blk Boost%': '{:.2%}', 'TOV Boost%': '{:.2%}', 'FPPM Boost': '{:.2%}',
                       'Team FPPM Boost': '{:.2%}'}
 
+team_macro_format = {'FGM%': '{:.2%}', 'FG3M%': '{:.2%}', 'FTM%': '{:.2%}'}
+
 st.markdown("""
 <style>
     /* Tab styling */
@@ -125,20 +127,25 @@ def init_macro_tables():
     team_macro_json = requests.get(NBA_DATA + '?sheet=Team_Macro').json()
     team_macro_frame = pd.DataFrame(team_macro_json)
     team_macro_frame = team_macro_frame.reset_index(drop=True)
+    team_macro_frame = team_macro_frame[team_macro_frame['Team'] != ""]
 
     team_off_frame = team_macro_frame[team_macro_frame['Data'] == 'Off']
     team_off_frame = team_off_frame.reset_index(drop=True)
+    team_off_frame = team_off_frame.apply(pd.to_numeric, errors='coerce').fillna(team_off_frame)
 
     team_def_frame = team_macro_frame[team_macro_frame['Data'] == 'Def']
     team_def_frame = team_def_frame.reset_index(drop=True)
+    team_def_frame = team_def_frame.apply(pd.to_numeric, errors='coerce').fillna(team_def_frame)
 
     team_combo_json = requests.get(NBA_DATA + '?sheet=Team%20Combo%20Data').json()
     team_combo_frame = pd.DataFrame(team_combo_json)
     team_combo_frame = team_combo_frame.reset_index(drop=True)
+    team_combo_frame = team_combo_frame.apply(pd.to_numeric, errors='coerce').fillna(team_combo_frame)
 
     team_matchup_json = requests.get(NBA_DATA + '?sheet=Team%20Matchups').json()
     team_matchup_frame = pd.DataFrame(team_matchup_json)
     team_matchup_frame = team_matchup_frame.reset_index(drop=True)
+    team_matchup_frame = team_matchup_frame.apply(pd.to_numeric, errors='coerce').fillna(team_matchup_frame)
 
     return team_off_frame, team_def_frame, team_combo_frame, team_matchup_frame
 
@@ -229,7 +236,7 @@ if selected_tab == 'Team Macro Tables':
             team_macro_display = team_combo_frame
         elif table_var2 == 'Team Matchups':
             team_macro_display = team_matchup_frame
-        st.dataframe(team_macro_display.set_index('Team').style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True)
+        st.dataframe(team_macro_display.set_index('Team').style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(team_macro_format, precision=2), use_container_width = True)
         st.download_button(
             label="Export Table Data",
             data=convert_df_to_csv(team_macro_display),