Create app.py

app.py

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+# -*- coding: utf-8 -*-
+import streamlit as st
+import pandas as pd
+import requests
+import plotly.express as px
+import matplotlib.font_manager as fm
+import matplotlib as mpl
+
+# Define URLs
+urls = {
+    "溫室氣體": "https://mopsfin.twse.com.tw/opendata/t187ap46_L_1.csv",
+    "能源": "https://mopsfin.twse.com.tw/opendata/t187ap46_O_2.csv",
+    "董事會揭露": "https://mopsfin.twse.com.tw/opendata/t187ap46_L_6.csv"
+}
+
+# Function to download and load CSV files into DataFrame
+def load_data():
+    dataframes = {}
+    for name, url in urls.items():
+        response = requests.get(url)
+        df = pd.read_csv(pd.compat.StringIO(response.text))
+        df = df.fillna(0)  # Replace missing values with 0
+        dataframes[name] = df
+    return dataframes
+
+# Load all datasets
+dataframes = load_data()
+
+# Streamlit App
+st.title("ESG 專題數據分析")
+
+# Allow user to select dataset
+dataset_choice = st.selectbox("選擇要顯示的數據集", list(dataframes.keys()))
+
+# Get the selected dataframe
+selected_df = dataframes[dataset_choice]
+
+# Allow user to select a column for pie chart
+column_choice = st.selectbox("選擇欄位來繪製圓餅圖", selected_df.columns)
+
+# Check if the column is numerical
+if pd.api.types.is_numeric_dtype(selected_df[column_choice]):
+    # Create a pie chart using plotly
+    fig = px.pie(selected_df, names=selected_df.index, values=column_choice, title=f"{dataset_choice} - {column_choice} 圓餅圖")
+    st.plotly_chart(fig)
+else:
+    st.write("選定的欄位不是數值類型，無法繪製圓餅圖。")
+
+# Download and set custom font for displaying Chinese characters
+font_url = "https://drive.google.com/uc?id=1eGAsTN1HBpJAkeVM57_C7ccp7hbgSz3_&export=download"
+font_response = requests.get(font_url)
+with open("TaipeiSansTCBeta-Regular.ttf", "wb") as font_file:
+    font_file.write(font_response.content)
+
+fm.fontManager.addfont("TaipeiSansTCBeta-Regular.ttf")
+mpl.rc('font', family='Taipei Sans TC Beta')