app5_selectbox/evaluation_fac.py

@@ -113,8 +113,12 @@ def analyze_instructors(evaluation_df):
     # Assuming you have a DataFrame named 'filtered_data'
     # and column_names is a list of column names you want to consider for calculating average scores
 
+    # # Convert all columns to numeric data
+    # filtered_data[column_names] = filtered_data[column_names].apply(pd.to_numeric, errors='coerce')
+    
     # Convert all columns to numeric data
-    filtered_data[column_names] = filtered_data[column_names].apply(pd.to_numeric, errors='coerce')
+    filtered_data.loc[:, column_names] = filtered_data.loc[:, column_names].apply(pd.to_numeric, errors='coerce')
+
 
     # Fetch subject data from the cursor
     subject_data = cursor.fetchall()