Update app.py

app.py

@@ -59,20 +59,23 @@ for col in ["範疇一排放量(噸CO2e)", "範疇二排放量(噸CO2e)", "範
     if col in combined_df.columns:
         combined_df[col] = pd.to_numeric(combined_df[col], errors='coerce').fillna(0)
 
+# 合併數據
+df_final = combined_df.groupby("公司名稱", as_index=False).sum()
+
 # 設定 Streamlit 介面
 st.title("台灣企業ESG數據分析與揭露")
 
 # 顯示清理後的數據
 st.subheader("清理後的數據預覽")
-st.dataframe(combined_df)
+st.dataframe(df_final)
 
 # 可視化數據
 emission_columns = ["範疇一排放量(噸CO2e)", "範疇二排放量(噸CO2e)", "範疇三排放量(噸CO2e)"]
-selected_columns = [col for col in emission_columns if col in combined_df.columns]
+selected_columns = [col for col in emission_columns if col in df_final.columns]
 
 if selected_columns:
     st.subheader("排放量折線圖")
-    fig_line = px.line(combined_df, x="公司名稱", y=selected_columns, title="企業排放量趨勢", color_discrete_sequence=THEME)
+    fig_line = px.line(df_final, x="公司名稱", y=selected_columns, title="企業排放量趨勢", color_discrete_sequence=THEME)
     st.plotly_chart(beautify_chart(fig_line))
 else:
     st.write("未找到有效的排放數據")