Update app.py

app.py

@@ -75,6 +75,21 @@ def main():
         st.session_state['min_property_lease_size_perc'] = min_property_lease_size
         st.session_state['max_property_lease_size_perc'] = max_property_lease_size
         st.session_state['months_back'] = months_back
+        if selected_option != "":
+            df_properties = pd.read_csv("atlanta_data_new.csv", encoding='utf-8')
+            
+            # user's filter for property size is a range in percentage around picked property 
+            min_size = (100 + st.session_state['min_property_lease_size_perc']) / 100 * st.session_state['building_sf']
+            max_size = (100 + st.session_state['max_property_lease_size_perc']) / 100 * st.session_state['building_sf']
+        
+            # user's filter for lease size is a range in percentage around picked lease 
+            lease_min_size = (100 + st.session_state['min_property_size_perc']) / 100 * st.session_state['rented_sf']
+            lease_max_size = (100 + st.session_state['max_property_size_perc']) / 100 * st.session_state['rented_sf']
+        
+            #apply all filters 
+            mask = (df_properties['rented_sf'] >= lease_min_size) & (df_properties['rented_sf'] <= lease_max_size) & (df_properties['building_sf'] >= min_size) & (df_properties['building_sf'] <= max_size) & (df_properties['months_since'] <= st.session_state['months_back'])
+            df_properties_filtered = df_properties[mask]
+            st.write("Number of Rows After Applying Filters : ", len(df_properties_filtered))
     
     if st.button("Submit"):
         if selected_option == "":