Update app.py

app.py

@@ -99,95 +99,35 @@ def get_ncku_data():
 # 主程序
 st.title("醫院病床狀況")
 
-# 下拉式選單
-option = st.selectbox(
+# 多項選擇下拉式選單
+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", "三間醫院統整")
+    ["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"]
 )
 
 # 查詢按鈕
 if st.button("查詢"):
-    if option == "台南市立醫院":
-        df = get_tmh_data()
-        st.write(df)
-        
-        # 美化病床類別分布直條圖
-        fig_bar = px.bar(df, x='病床類別', y='病床數', title='台南市立醫院病床類別分布',
-                         color='病床類別', text='病床數', 
-                         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, names='病床類別', values='病床數', title='台南市立醫院病床類別分布',
-                              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, names='病床類別', values='空床數', title='台南市立醫院空床數分布',
-                               color_discrete_sequence=px.colors.qualitative.Pastel)
-        st.plotly_chart(fig_pie_empty)
-
-    elif option == "奇美醫院":
-        df = get_chimei_data()
-        st.write(df)
-        
-        # 美化病床類別分布直條圖
-        fig_bar = px.bar(df, x='病床類別', y='病床數', title='奇美醫院病床類別分布',
-                         color='病床類別', text='病床數', 
-                         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, names='病床類別', values='病床數', title='奇美醫院病床類別分布',
-                              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, names='病床類別', values='空床數', title='奇美醫院空床數分布',
-                               color_discrete_sequence=px.colors.qualitative.Pastel)
-        st.plotly_chart(fig_pie_empty)
+    selected_data = []
 
-    elif option == "成大醫院":
-        df = get_ncku_data()
-        st.write(df)
-        
-        # 美化病床類別分布直條圖
-        fig_bar = px.bar(df, x='病床類別', y='病床數', title='成大醫院病床類別分布',
-                         color='病床類別', text='病床數', 
-                         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, names='病床類別', values='病床數', title='成大醫院病床類別分布',
-                              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, names='病床類別', values='空床數', title='成大醫院空床數分布',
-                               color_discrete_sequence=px.colors.qualitative.Pastel)
-        st.plotly_chart(fig_pie_empty)
-
-    elif option == "三間醫院統整":
+    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()
-        df_combined = pd.concat([df_tmh, df_chimei, df_ncku], ignore_index=True)
+        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��布直條圖
-        fig_bar = px.bar(df_combined, x='病床類別', y='病床數', color='醫院', title='三間醫院統整病床類別分布',
+        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')
@@ -197,11 +137,11 @@ if st.button("查詢"):
         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='三間醫院統整病床類別分布',
+        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='三間醫院統整空床數分布',
+        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)
+        st.plotly_chart(fig_pie_empty)