Update pages/market_rent_estimation.py

pages/market_rent_estimation.py

@@ -23,6 +23,12 @@ def main():
 
     distances_matrix = np.load('atlanta_matrix.npy')
     df_properties = pd.read_csv("atlanta_data_new.csv", encoding='utf-8')
+
+
+    # update the values of date and price of the historical lease to today date and nan value for price
+    row_index = (df_properties[df_properties['google_ola'] == st.session_state['user_select_value']].index)[0]
+    df_properties.loc[row_index, ["months_since", "rent_combined"]] = [0, -1]
+    
     
     # user's filter for property size is a range in percentage around picked property 
     min_size = (100 + st.session_state['min_property_size_perc']) / 100 * st.session_state['building_sf']