Update pages/market_rent_estimation.py

pages/market_rent_estimation.py

@@ -48,7 +48,7 @@ def main():
     selected_row_embeding = distances_matrix[row_index]
     distances_to_properties = np.linalg.norm(filltered_rows_embeding - selected_row_embeding, axis=1)
     df_properties_filtered["Similarity score"] = distances_to_properties
-    reordered_df_properties_filtered = df_properties_filtered.sort_values("Similarity score", ascending=False)
+    reordered_df_properties_filtered = df_properties_filtered.sort_values("Similarity score")#, ascending=False)
     
     df_properties_filtered = df_properties_filtered.reset_index()
     reordered_df_properties_filtered['distance_from_first (km)'] = reordered_df_properties_filtered.apply(calculate_distance, axis=1)