Update pages/market_rent_estimation.py

pages/market_rent_estimation.py

@@ -91,7 +91,7 @@ def main():
             'market_costar': 'Market',
             'submarket_costar': 'Submarket'
         })
-        filtered_data = filtered_data.sort_values(by="Similarity score", ascending=False)
+        filtered_data = filtered_data.sort_values(by="Similarity score")#, ascending=False)
 
         
         # Display the filtered data
@@ -100,7 +100,7 @@ def main():
             filtered_data['Similarity score'] = pd.to_numeric(filtered_data['Similarity score'], errors='coerce')
             filtered_data['LSF (sf)'] = pd.to_numeric(filtered_data['LSF (sf)'], errors='coerce')
             st.write('Comps list:')
-            filtered_data_sorted = filtered_data.sort_values(by="Similarity score", ascending=False)
+            filtered_data_sorted = filtered_data.sort_values(by="Similarity score")#, ascending=False)
             
             # sort_column = st.selectbox('Select column to sort by:', filtered_data.columns[:])
             # # display_df = st.table(filtered_data)