Update app.py

app.py

@@ -102,7 +102,7 @@ with tab1:
     if line_var1 == 'American':
         team_frame = team_frame[['Team', 'Opp', 'Win Line', 'Vegas Line', 'Line Diff', 'PD Spread', 'Vegas Spread', 'Spread Diff']]
         team_frame = team_frame.set_index('Team')
-        st.dataframe(team_frame.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True)
+        st.dataframe(team_frame.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), height = 1000, use_container_width = True)
     
     st.download_button(
         label="Export Team Model",
@@ -129,7 +129,7 @@ with tab2:
     qb_stats = qb_stats[qb_stats['Team'].isin(team_var1)]
     qb_stats_disp = qb_stats.set_index('Player')
     qb_stats_disp = qb_stats_disp.sort_values(by='PPR', ascending=False)
-    st.dataframe(qb_stats_disp.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True)
+    st.dataframe(qb_stats_disp.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), height = 1000, use_container_width = True)
     st.download_button(
         label="Export Prop Model",
         data=convert_df_to_csv(qb_stats_disp),
@@ -155,7 +155,7 @@ with tab3:
     non_qb_stats = non_qb_stats[non_qb_stats['Team'].isin(team_var2)]
     non_qb_stats_disp = non_qb_stats.set_index('Player')
     non_qb_stats_disp = non_qb_stats_disp.sort_values(by='PPR', ascending=False)
-    st.dataframe(non_qb_stats_disp.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True)
+    st.dataframe(non_qb_stats_disp.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), height = 1000, use_container_width = True)
     st.download_button(
         label="Export Prop Model",
         data=convert_df_to_csv(non_qb_stats_disp),
@@ -183,7 +183,7 @@ with tab4:
     prop_frame_disp = prop_frame_disp[prop_frame_disp['prop_type'] == prop_type_var2]
     prop_frame_disp = prop_frame_disp.set_index('Player')
     prop_frame_disp = prop_frame_disp.sort_values(by='Trending Over', ascending=False)
-    st.dataframe(prop_frame_disp.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(prop_format, precision=2), use_container_width = True)
+    st.dataframe(prop_frame_disp.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(prop_format, height = 1000, precision=2), use_container_width = True)
     st.download_button(
         label="Export Prop Trends Model",
         data=convert_df_to_csv(prop_frame_disp),