Update dashboard_CLOUD.py

dashboard_CLOUD.py

@@ -300,9 +300,16 @@ def main():
         # Filter data based on selected feature
         filtered_data = customer_data_copy.copy()  # Avoid modifying original data
 
-        # Separate data for full dataset and current customer
-        full_data_values = customer_data_copy[selected_feature]
-        customer_value = customer_data_copy[selected_feature].iloc[0]
+        # Sort data (ascending order by default)
+        sorted_data = filtered_data.sort_values(by=selected_feature)
+
+        # Separate data for full dataset (sorted) and current customer
+        full_data_values = sorted_data[selected_feature]
+        customer_value = customer_data_copy[selected_feature].iloc[customer_index]
+
+        # Find the new index of the current customer in the sorted data
+        customer_index = sorted_data[sorted_data[selected_feature] == customer_value].index.tolist()[0]
+
         st.write("full_data_values")
         st.write(full_data_values)
         st.write("customer_value")
@@ -311,21 +318,20 @@ def main():
         # Create bar chart with highlighting
         plt.figure(figsize=(10, 6))  # Adjust figure size for better visualization
 
-        # Plot full dataset data with a grey color
+        # Plot full dataset data with a grey color (using sorted values)
         plt.bar(range(len(full_data_values)), full_data_values, color='gray', alpha=0.7, label='All Clients')
 
-        # Highlight current customer with a red bar
+        # Highlight current customer with a red bar (using new index)
         plt.bar(customer_index, customer_value, color='red', label='Current Customer')
 
         plt.xlabel('Customer Index')
         plt.ylabel(selected_feature)
-        plt.title(f'{selected_feature} Distribution')
+        plt.title(f'{selected_feature} Distribution (Sorted)')
         plt.xticks(range(len(full_data_values)), rotation=45, ha='right')  # Rotate x-axis labels for better readability if many customers
         plt.legend()
         plt.tight_layout()
         st.pyplot(plt.gcf())
 
-
         # # =========================================================================
         # # COMPARATIVE ANALYSIS USING GRAPHS
         # # ========================================================================
@@ -343,7 +349,7 @@ def main():
 
         # # Separate data for full dataset and current customer
         # full_data_values = customer_data_copy[selected_feature]
-        # customer_value = customer_data_copy[selected_feature].iloc[0]
+        # customer_value = customer_data_copy[selected_feature].iloc[customer_index]
         # st.write("full_data_values")
         # st.write(full_data_values)
         # st.write("customer_value")