Update app.py

app.py

@@ -99,49 +99,52 @@ def get_ncku_data():
 # 主程序
 st.title("醫院病床狀況")
 
-# 多項選擇下拉式選單
+# 多項選擇下拉式選單，預設選項為"請選擇"
 options = st.multiselect(
     "選擇要查看的醫院",
     ["台南市立醫院", "奇美醫院", "成大醫院"],
-    default=["台南市立醫院", "奇美醫院", "成大醫院"]
+    default=[]
 )
 
 # 查詢按鈕
 if st.button("查詢"):
-    selected_data = []
-
-    if "台南市立醫院" in options:
-        df_tmh = get_tmh_data()
-        selected_data.append(df_tmh)
-
-    if "奇美醫院" in options:
-        df_chimei = get_chimei_data()
-        selected_data.append(df_chimei)
-
-    if "成大醫院" in options:
-        df_ncku = get_ncku_data()
-        selected_data.append(df_ncku)
-
-    if selected_data:
-        df_combined = pd.concat(selected_data, ignore_index=True)
-        st.write(df_combined)
-        
-        # 美化病床類別分布直條圖
-        fig_bar = px.bar(df_combined, x='病床類別', y='病床數', color='醫院', title='病床類別分布',
-                         text='病床數', barmode='group',
-                         color_discrete_sequence=px.colors.qualitative.Pastel)
-        fig_bar.update_traces(texttemplate='%{text:.2s}', textposition='outside')
-        fig_bar.update_layout(uniformtext_minsize=8, uniformtext_mode='hide',
-                              xaxis_title='病床類別', yaxis_title='病床數', 
-                              title_x=0.5, template='plotly_white')
-        st.plotly_chart(fig_bar)
-        
-        # 病床類別分布圓餅圖
-        fig_pie_beds = px.pie(df_combined, names='病床類別', values='病床數', title='病床類別分布',
-                              color_discrete_sequence=px.colors.qualitative.Pastel)
-        st.plotly_chart(fig_pie_beds)
-        
-        # 空床數分布圓餅圖
-        fig_pie_empty = px.pie(df_combined, names='病床類別', values='空床數', title='空床數分布',
-                               color_discrete_sequence=px.colors.qualitative.Pastel)
-        st.plotly_chart(fig_pie_empty)
+    if not options:
+        st.warning("請選擇至少一個醫院進行查詢。")
+    else:
+        selected_data = []
+
+        if "台南市立醫院" in options:
+            df_tmh = get_tmh_data()
+            selected_data.append(df_tmh)
+
+        if "奇美醫院" in options:
+            df_chimei = get_chimei_data()
+            selected_data.append(df_chimei)
+
+        if "成大醫院" in options:
+            df_ncku = get_ncku_data()
+            selected_data.append(df_ncku)
+
+        if selected_data:
+            df_combined = pd.concat(selected_data, ignore_index=True)
+            st.write(df_combined)
+            
+            # 美化病床類別分布直條圖
+            fig_bar = px.bar(df_combined, x='病床類別', y='病床數', color='醫院', title='病床類別分布',
+                             text='病床數', barmode='group',
+                             color_discrete_sequence=px.colors.qualitative.Pastel)
+            fig_bar.update_traces(texttemplate='%{text:.2s}', textposition='outside')
+            fig_bar.update_layout(uniformtext_minsize=8, uniformtext_mode='hide',
+                                  xaxis_title='病床類別', yaxis_title='病床數', 
+                                  title_x=0.5, template='plotly_white')
+            st.plotly_chart(fig_bar)
+            
+            # 病床類別分布圓餅圖
+            fig_pie_beds = px.pie(df_combined, names='病床類別', values='病床數', title='病床類別分布',
+                                  color_discrete_sequence=px.colors.qualitative.Pastel)
+            st.plotly_chart(fig_pie_beds)
+            
+            # 空床數分布圓餅圖
+            fig_pie_empty = px.pie(df_combined, names='病床類別', values='空床數', title='空床數分布',
+                                   color_discrete_sequence=px.colors.qualitative.Pastel)
+            st.plotly_chart(fig_pie_empty)