Update app.py

app.py

@@ -19,6 +19,9 @@ st.write("提取餐廳數據，可視化區域分佈，並在地圖上顯示位
 sheet_id = "1xUfnD1WCF5ldqECI8YXIko1gCpaDDCwTztL17kjI42U"
 df = pd.read_csv(f"https://docs.google.com/spreadsheets/d/{sheet_id}/export?format=csv")
 
+# Print column names
+st.write("資料框的列名：", df.columns.tolist())
+
 # Initialize Nominatim geocoder
 geolocator = Nominatim(user_agent="my_unique_app/3.0")
 
@@ -42,8 +45,16 @@ def get_lat_lon(district):
         st.error("地理編碼器遇到權限問題，請稍後再試。")
     return None, None
 
+# Check if required columns exist
+required_columns = ['Address', 'Store Name', '推薦度']
+missing_columns = [col for col in required_columns if col not in df.columns]
+
+if missing_columns:
+    st.error(f"資料中缺少以下列：{', '.join(missing_columns)}")
+    st.stop()
+
 # Apply geocoding to the dataframe
-df['Region'] = df['地址'].apply(extract_region)
+df['Region'] = df['Address'].apply(extract_region)
 df['Latitude'], df['Longitude'] = zip(*df['Region'].apply(get_lat_lon))
 
 # Display the DataFrame as a table at the top
@@ -141,7 +152,7 @@ for index, row in df.iterrows():
         folium.Marker(
             location=[row["Latitude"], row["Longitude"]],
             popup=f"{row['Store Name']} (推薦度: {row['推薦度']})",
-            tooltip=row["地址"]
+            tooltip=row["Address"]
         ).add_to(marker_cluster)
         heat_data.append([row["Latitude"], row["Longitude"], row["推薦度"]])