Update pages/market_rent_estimation.py

pages/market_rent_estimation.py

@@ -63,12 +63,12 @@ def main():
         comps_addresses.insert(0, st.session_state['user_select_value'])
         #similarity scores
         comps_scores = filtered_row.filter(like='score_').tolist()
-        # comps_scores.insert(0, 0)
+        comps_scores.insert(0, 0)
         
         df_comps_data = df_properties[df_properties.google_ola.isin(comps_addresses)]
         average_rent = df_comps_data.iloc[1:]['rent_combined'].mean()
         
-        x1 ="Comps " + str(len(comps_scores))   #str(average_rent)
+        x1 ="Comps " + str(average_rent)
         x3="Rexy " + str(st.session_state['prediction'])
         
         x2 = (st.session_state['prediction']+average_rent)/2