feat: generated files

app.py

@@ -82,7 +82,6 @@ if page == "":
     st.markdown("## Welcome to the Customer Insights App")
     st.write("Use the dropdown menu to navigate between the different sections.")
 
-# Customer Analysis Page
 elif page == "Customer Analysis":
     st.title("Customer Analysis")
     st.markdown("Use the tools below to explore your customer data.")
@@ -102,7 +101,9 @@ elif page == "Customer Analysis":
         if not customer_data.empty and not customer_euros.empty:
             st.write(f"### Analysis for Customer {customer_code}")
 
+            # Ensure all manufacturer codes are strings
             all_manufacturers = customer_data.iloc[:, 1:].T[customer_data.iloc[:, 1:].T[customer_data.index[0]] > 0]
+            all_manufacturers.index = all_manufacturers.index.astype(str)
             
             # Convert to numeric and handle any non-numeric values
             all_manufacturers = all_manufacturers.apply(pd.to_numeric, errors='coerce')
@@ -114,6 +115,7 @@ elif page == "Customer Analysis":
             numeric_euros = customer_euros.select_dtypes(include=[np.number])
             if not numeric_euros.empty:
                 top_sales = numeric_euros.iloc[0].sort_values(ascending=False).head(10)
+                top_sales.index = top_sales.index.astype(str)
             else:
                 st.warning("No numeric sales data available for this customer.")
                 top_sales = pd.Series()
@@ -125,10 +127,10 @@ elif page == "Customer Analysis":
             amounts = []
 
             for m in combined_top:
-                if m in all_manufacturers.index:
+                if m in all_manufacturers.index and m in customer_euros.columns:
                     values.append(all_manufacturers[m])
                     manufacturers.append(get_supplier_name(m))
-                    amounts.append(customer_euros[m].values[0] if m in customer_euros.columns else 0)
+                    amounts.append(customer_euros[m].iloc[0])
 
             st.write(f"### Results for top {len(manufacturers)} manufacturers (balanced by units and sales):")
             for manufacturer, value, amount in zip(manufacturers, values, amounts):