Update pages/market_rent_estimation.py

pages/market_rent_estimation.py

@@ -106,7 +106,7 @@ def main():
         filtered_data.insert(loc=1, column='Similarity score', value=comps_scores)
         
         # Formatting the DataFrame 
-        filtered_data['Similarity score'] = ((1 - filtered_data['Similarity score']) * 100).round(2)
+        filtered_data['Similarity score'] = ((1 - filtered_data['Similarity score']) * 100).apply(lambda x: f"{x:.2f}")
         filtered_data['execution_date'] = pd.to_datetime(filtered_data['execution_date']).dt.strftime('%m-%d-%Y')
         filtered_data['LSF (sf)'] = filtered_data['rented_sf'].round(0).astype(int)
         filtered_data['RSF (sf)'] = filtered_data['building_sf'].round(0).astype(int)