Update pages/market_rent_estimation.py

pages/market_rent_estimation.py

@@ -80,8 +80,10 @@ def main():
         # Display the filtered data
         col_1_1, col_1_2 = st.columns([2, 1])
         with col_1_1:
+            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:')
-            sort_column = st.selectbox('Select column to sort by:', filtered_data.columns[1:])
+            sort_column = st.selectbox('Select column to sort by:', filtered_data.columns[:])
             # display_df = st.table(filtered_data)
             if sort_column:
                 filtered_data_sorted = filtered_data.sort_values(by=sort_column, ascending=False)