update app.py

app.py

@@ -823,30 +823,30 @@ if st.button(f"Calculate {custom_formula}"):
                         st.warning("No data available for plotting.")
                         st.stop()
 
-                    # Line Chart
-                    try:
-                        st.subheader("Line Chart")
-                        if x_column == 'Location Name':
-                            st.line_chart(result_df.set_index(x_column)[y_column])
-                        else:
-                            # Convert to datetime for better sorting
-                            result_df[x_column] = pd.to_datetime(result_df[x_column], errors='ignore')
-                            result_df = result_df.sort_values(x_column)
-                            st.line_chart(result_df.set_index(x_column)[y_column])
-                    except Exception as e:
-                        st.error(f"Error creating line chart: {str(e)}")
-
-                    # Bar Chart
-                    try:
-                        st.subheader("Bar Chart")
-                        if x_column == 'Location Name':
-                            st.bar_chart(result_df.set_index(x_column)[y_column])
-                        else:
-                            result_df[x_column] = pd.to_datetime(result_df[x_column], errors='ignore')
-                            result_df = result_df.sort_values(x_column)
-                            st.bar_chart(result_df.set_index(x_column)[y_column])
-                    except Exception as e:
-                        st.error(f"Error creating bar chart: {str(e)}")
+                    # # Line Chart
+                    # try:
+                    #     st.subheader("Line Chart")
+                    #     if x_column == 'Location Name':
+                    #         st.line_chart(result_df.set_index(x_column)[y_column])
+                    #     else:
+                    #         # Convert to datetime for better sorting
+                    #         result_df[x_column] = pd.to_datetime(result_df[x_column], errors='ignore')
+                    #         result_df = result_df.sort_values(x_column)
+                    #         st.line_chart(result_df.set_index(x_column)[y_column])
+                    # except Exception as e:
+                    #     st.error(f"Error creating line chart: {str(e)}")
+
+                    # # Bar Chart
+                    # try:
+                    #     st.subheader("Bar Chart")
+                    #     if x_column == 'Location Name':
+                    #         st.bar_chart(result_df.set_index(x_column)[y_column])
+                    #     else:
+                    #         result_df[x_column] = pd.to_datetime(result_df[x_column], errors='ignore')
+                    #         result_df = result_df.sort_values(x_column)
+                    #         st.bar_chart(result_df.set_index(x_column)[y_column])
+                    # except Exception as e:
+                    #     st.error(f"Error creating bar chart: {str(e)}")
 
                     # Advanced Plot (Plotly)
                     try: