Update app.py

app.py

@@ -60,21 +60,20 @@ if uploaded_files:
     
     selected_out = st.select("เลือก columns ที่จะดู Outlier", value=False)
     if selected_out:
-    for col in selected_out:
-        if col in df.columns:
-            st.write(f"คอลัมน์ {col}:")
-            
-            # Calculate Z-Scores for the selected column
-            z_scores = np.abs((df[col] - df[col].mean()) / df[col].std())
-            
-            # Set a threshold for identifying outliers (e.g., z_score > 3)
-            threshold = 3
-            
-            # Identify outliers
-            outliers = df[z_scores > threshold]
-            
-            st.write("Outliers:")
-            st.write(outliers)
+        col = selected_out
+        st.write(f"คอลัมน์ {col}:")
+        
+        # Calculate Z-Scores for the selected column
+        z_scores = np.abs((df[col] - df[col].mean()) / df[col].std())
+        
+        # Set a threshold for identifying outliers (e.g., z_score > 3)
+        threshold = 3
+        
+        # Identify outliers
+        outliers = df[z_scores > threshold]
+        
+        st.write("Outliers:")
+        st.write(outliers)
 
     
     st.markdown("Data transform")