Update app.py

app.py

@@ -1134,25 +1134,48 @@ def display_distribution_tab():
             key="chart_type_select"
         )
     
+    # with col2:
+    #     if chart_type != "Distribution Plot":
+    #         column_type = "Numerical" if chart_type in ["Histogram", "Box Plot", "Violin Plot"] else "Categorical"
+    #         columns_to_show = df.select_dtypes(include=['number']).columns.tolist() if column_type == "Numerical" else df.select_dtypes(include=['object', 'category']).columns.tolist()
+            
+    #         selected_columns = st.multiselect(
+    #             f"Select {column_type} Columns to Visualize",
+    #             options=columns_to_show,
+    #             default=columns_to_show[:min(3, len(columns_to_show))],
+    #             key="column_select"
+    #         )
+    #     else:
+    #         num_cols = df.select_dtypes(include=['number']).columns.tolist()
+    #         selected_columns = st.multiselect(
+    #             "Select Numerical Columns",
+    #             options=num_cols,
+    #             default=num_cols[:min(3, len(num_cols))],
+    #             key="column_select"
+    #         )
+
+
+
     with col2:
         if chart_type != "Distribution Plot":
             column_type = "Numerical" if chart_type in ["Histogram", "Box Plot", "Violin Plot"] else "Categorical"
-            columns_to_show = df.select_dtypes(include=['number']).columns.tolist() if column_type == "Numerical" else df.select_dtypes(include=['object', 'category']).columns.tolist()
+            columns_to_show = list(df.select_dtypes(include=['number']).columns) if column_type == "Numerical" else list(df.select_dtypes(include=['object', 'category']).columns)
             
             selected_columns = st.multiselect(
                 f"Select {column_type} Columns to Visualize",
                 options=columns_to_show,
-                default=columns_to_show[:min(3, len(columns_to_show))],
+                default=list(columns_to_show[:min(3, len(columns_to_show))]),  # Convert to list ✅
                 key="column_select"
             )
         else:
-            num_cols = df.select_dtypes(include=['number']).columns.tolist()
+            num_cols = list(df.select_dtypes(include=['number']).columns)  # Convert to list ✅
             selected_columns = st.multiselect(
                 "Select Numerical Columns",
                 options=num_cols,
-                default=num_cols[:min(3, len(num_cols))],
+                default=list(num_cols[:min(3, len(num_cols))]),  # Convert to list ✅
                 key="column_select"
             )
+        
     st.markdown('</div>', unsafe_allow_html=True)
     
     # Display selected charts
@@ -1530,11 +1553,22 @@ def display_relationships_tab():
     # Scatter plot matrix
     st.subheader("Scatter Plot Matrix")
     
-    # Let user choose columns
+    # # Let user choose columns
+    # selected_cols = st.multiselect(
+    #     "Select columns for scatter plot matrix (max 5 recommended)",
+    #     options=num_cols,
+    #     default=num_cols[:min(4, len(num_cols))]
+    # )
+    
+
+    # Convert num_cols to a list before using it in multiselect
+    num_cols = list(df.select_dtypes(include=['number']).columns)  
+    
+    # Ensure default selection is also a list
     selected_cols = st.multiselect(
         "Select columns for scatter plot matrix (max 5 recommended)",
         options=num_cols,
-        default=num_cols[:min(4, len(num_cols))]
+        default=list(num_cols[:min(4, len(num_cols))])  # Convert to list ✅
     )
     
     if selected_cols: