Update app.py

app.py

@@ -66,16 +66,17 @@ if st.sidebar.button("載入並分析數據"):
     st.write(df.describe())
     
     # Automatically select columns for visualization
+    company_column = df.columns[0]  # Assume the first column is the company name
     numeric_columns = df.select_dtypes(include=['int64', 'float64']).columns
-    if len(numeric_columns) > 1:
-        x_column = df.columns[0]  # First column as x-axis
-        y_column = numeric_columns[0]  # First numeric column as y-axis
+
+    if len(numeric_columns) > 0:
+        y_column = st.sidebar.selectbox("選擇數值欄位", options=numeric_columns)
         
         # Visualization
         st.subheader("資料視覺化")
         
         # Pie Chart
-        fig_pie = px.pie(df, names=x_column, values=y_column, title=f"{selected_option} 分佈 (圓餅圖)")
+        fig_pie = px.pie(df, names=company_column, values=y_column, title=f"{selected_option} 分佈 (圓餅圖)")
         fig_pie.update_layout(
             font_family="Taipei Sans TC Beta",
             title_font_size=24,
@@ -85,7 +86,7 @@ if st.sidebar.button("載入並分析數據"):
         st.plotly_chart(fig_pie, use_container_width=True)
         
         # Bar Chart
-        fig_bar = px.bar(df, x=x_column, y=y_column, title=f"{selected_option} 比較 (柱狀圖)")
+        fig_bar = px.bar(df, x=company_column, y=y_column, title=f"{selected_option} 比較 (柱狀圖)")
         fig_bar.update_layout(
             font_family="Taipei Sans TC Beta",
             title_font_size=24,
@@ -109,4 +110,4 @@ else:
 
 # Footer
 st.markdown("---")
-st.markdown("使用 Streamlit 創建 ❤️")
+st.markdown("使用 Streamlit 創建 ❤️")