Update app.py

app.py

@@ -51,42 +51,28 @@ st.title("📊 ESG & 董事席次數據分析儀表板")
 data_option = st.sidebar.radio("📂 選擇數據類型", ["ESG 數據", "董事席次數據"])
 
 if data_option == "ESG 數據" and df_esg is not None:
-    st.subheader("📌 ESG 數據總覽")
-    st.write(df_esg.describe())
-    
     st.subheader("📌 ESG 數據預覽")
     st.write(df_esg.head(10))
 
 elif data_option == "董事席次數據" and df_board is not None:
-    st.subheader("📌 董事席次數據總覽")
-    st.write(df_board.describe())
-    
     st.subheader("📌 董事席次數據預覽")
     st.write(df_board.head(10))
 
-# 添加數據篩選
-df = df_esg if data_option == "ESG 數據" else df_board
-filter_col = st.sidebar.selectbox("選擇要篩選的欄位", df.columns)
-unique_values = df[filter_col].unique()
-selected_value = st.sidebar.selectbox("選擇篩選值", unique_values)
-filtered_df = df[df[filter_col] == selected_value]
-st.write(filtered_df.head())
-
 # 確保數據包含數值型欄位
-if 'filtered_df' in locals() and filtered_df is not None:
-    numeric_cols = filtered_df.select_dtypes(include=['number']).columns
+if 'df' in locals() and df is not None:
+    numeric_cols = df.select_dtypes(include=['number']).columns
     if len(numeric_cols) > 0:
         col_choice = st.selectbox("選擇要視覺化的數值欄位", numeric_cols)
 
         if st.button("生成圖表"):
             # 繪製長條圖
             st.subheader("📊 長條圖")
-            fig_bar = px.bar(filtered_df.head(10), x=filtered_df.index[:10], y=col_choice, 
+            fig_bar = px.bar(df.head(10), x=df.index[:10], y=col_choice, 
                              title=f"{col_choice} 長條圖", color_discrete_sequence=["#1f77b4"])
             st.plotly_chart(fig_bar, use_container_width=True)
 
             # 繪製圓餅圖
             st.subheader("🥧 圓餅圖")
-            fig_pie = px.pie(filtered_df.head(10), names=filtered_df.index[:10], values=col_choice, 
+            fig_pie = px.pie(df.head(10), names=df.index[:10], values=col_choice, 
                              title=f"{col_choice} 圓餅圖")
-            st.plotly_chart(fig_pie, use_container_width=True)
+            st.plotly_chart(fig_pie, use_container_width=True)