Update app.py

app.py

@@ -9,8 +9,6 @@ import numpy as np
 import pandas as pd
 import streamlit as st
 import gspread
-import plotly.express as px
-import random
 import gc
 
 @st.cache_resource
@@ -38,6 +36,9 @@ gcservice_account = init_conn()
 
 DEM_data = 'https://docs.google.com/spreadsheets/d/1Yq0vGriWK-bS79e-bD6_u9pqrYE6Yrlbb_wEkmH-ot0/edit#gid=1808117109'
 
+percentages_format = {'Pts% Boost': '{:.2%}', 'Reb% Boost': '{:.2%}', 'Ast% Boost': '{:.2%}', '3p% Boost': '{:.2%}',
+                      'Stl Boost%': '{:.2%}', 'Blk Boost%': '{:.2%}', 'TOV Boost%': '{:.2%}', 'FPPM Boost': '{:.2%}'}
+
 @st.cache_resource(ttl = 600)
 def init_baselines():
     sh = gcservice_account.open_by_url(DEM_data)
@@ -129,7 +130,7 @@ with col2:
     dem_display = dem_display[dem_display['position'].isin(pos_var1)]
     dem_display = dem_display.sort_values(by='FPPM Boost', ascending=False)
     dem_display.rename(columns={"Acro": "Team (Giving Boost)"}, inplace = True)
-    st.dataframe(dem_display.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True)
+    st.dataframe(dem_display.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(percentages_format, precision=2), use_container_width = True)
     st.download_button(
         label="Export DEM Numbers",
         data=convert_df_to_csv(overall_dem),