Refactor Cpt_Own calculation in app.py to improve accuracy and add clipping for TEAM position

app.py

@@ -1,6 +1,7 @@
 import pandas as pd
 import streamlit as st
 import gspread
+import numpy as np
 
 scope = ['https://www.googleapis.com/auth/spreadsheets',
           "https://www.googleapis.com/auth/drive"]
@@ -246,7 +247,8 @@ with tab2:
     elif pos_var1 != 'All':
           display = display[display['Position'].str.contains(pos_var1)]
     display = display.drop(columns=['type', 'league', 'Timestamp'])
-    display['Cpt_Own'] = ((display['Own']) * ((100 - (100-display['Own'])))) / 300
+    display['Cpt_Own'] = (display['Own'] / 2) * ((100 - (100-display['Own']))/100)
+    display['Cpt_Own'] = np.where(display['Position'] == 'TEAM', display['Cpt_Own'].clip(upper=.25), display['Cpt_Own'])
     scale_var = display['Cpt_Own'].sum()
     display['Cpt_Own'] = display['Cpt_Own'] * (100 / scale_var)
     st.dataframe(display.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), height=750, use_container_width = True)