Update app.py

app.py

@@ -136,7 +136,6 @@ import pandas as pd
 def main():
     st.title("Intervention Program Analysis")
 
-    # File uploader with a unique key to avoid duplication errors
     uploaded_file = st.file_uploader("Upload your Excel file", type=["xlsx"], key="unique_excel_uploader")
 
     if uploaded_file is not None:
@@ -145,10 +144,21 @@ def main():
             df = pd.read_excel(uploaded_file)
 
             # Step 2: Manually handle duplicate columns
-            df.columns = pd.io.parsers.base.make_unique(df.columns)
-
-            # Step 3: Rename duplicate columns to make them more readable
-            df.columns = [f"{col.split('.')[0]}_{i}" if '.' in col else col for i, col in enumerate(df.columns, 1)]
+            def make_unique(column_name, existing_columns):
+                counter = 1
+                new_name = column_name
+                while new_name in existing_columns:
+                    new_name = f"{column_name}_{counter}"
+                    counter += 1
+                return new_name
+
+            unique_columns = []
+            for col in df.columns:
+                unique_columns.append(make_unique(col, unique_columns))
+            df.columns = unique_columns
+
+            # Step 3: Replace student names with initials
+            df = replace_student_names_with_initials(df)
 
             # Step 4: Display the uploaded data
             st.subheader("Uploaded Data")
@@ -156,7 +166,7 @@ def main():
 
             # Step 5: Ensure expected column is available
             if INTERVENTION_COLUMN not in df.columns:
-                st.error(f"Expected column '{INTERVENTION_COLUMN}' not found.") 
+                st.error(f"Expected column '{INTERVENTION_COLUMN}' not found.")
                 return
 
             # Step 6: Clean up column names