Update app.py

app.py

@@ -0,0 +1,104 @@
+import streamlit as st
+import pandas as pd
+import plotly.graph_objects as go
+import numpy as np
+
+def load_data(uploaded_file):
+    """載入並處理CSV檔案"""
+    try:
+        df = pd.read_csv(uploaded_file, encoding='utf-8')
+        return df
+    except Exception as e:
+        st.error(f"載入檔案時發生錯誤：{e}")
+        return None
+
+def prepare_radar_data(df, selected_columns):
+    """準備雷達圖所需的數據"""
+    # 移除非數值的列
+    numeric_df = df.select_dtypes(include=[np.number])
+    
+    # 篩選使用者選擇的欄位
+    selected_data = numeric_df[selected_columns]
+    
+    return selected_data
+
+def create_radar_chart(data, selected_columns):
+    """使用Plotly建立雷達圖"""
+    # 定義不同線段樣式
+    line_styles = ['solid', 'dot', 'dash', 'longdash', 'dashdot']
+    
+    # 定義顏色調色盤
+    colors = ['#1F77B4', '#FF7F0E', '#2CA02C', '#D62728', '#9467BD']
+    
+    fig = go.Figure()
+
+    for i, (index, row) in enumerate(data.iterrows()):
+        # 根據列名判斷是否為平均或標準值
+        if '平均' in index or '標' in index:
+            marker_symbol = 'star'
+            line_width = 3
+        else:
+            marker_symbol = 'circle'
+            line_width = 2
+        
+        fig.add_trace(go.Scatterpolar(
+            r = row.values,
+            theta = selected_columns,
+            fill = 'toself',
+            name = index,
+            line = dict(
+                color = colors[i % len(colors)], 
+                dash = line_styles[i % len(line_styles)],
+                width = line_width
+            ),
+            marker = dict(symbol=marker_symbol)
+        ))
+
+    fig.update_layout(
+        polar = dict(
+            radialaxis = dict(
+                visible = True,
+                range = [0, data.values.max() * 1.1]
+            )
+        ),
+        showlegend = True,
+        title = '學生成績雷達圖'
+    )
+    
+    return fig
+
+def main():
+    st.title('學生成績雷達圖產生器')
+    
+    # 上傳CSV檔案
+    uploaded_file = st.file_uploader("上傳CSV檔案", type=['csv'])
+    
+    if uploaded_file is not None:
+        df = load_data(uploaded_file)
+        
+        if df is not None:
+            # 選擇要比較的欄位
+            numeric_columns = df.select_dtypes(include=[np.number]).columns.tolist()
+            selected_columns = st.multiselect('選擇要比較的欄位', numeric_columns, default=['國文', '英文', '數學'])
+            
+            if selected_columns:
+                # 準備雷達圖數據
+                radar_data = prepare_radar_data(df, selected_columns)
+                
+                # 建立雷達圖
+                fig = create_radar_chart(radar_data, selected_columns)
+                
+                # 顯示圖表
+                st.plotly_chart(fig, use_container_width=True)
+                
+                # 下載圖表
+                fig_bytes = fig.to_image(format="png", width=1200, height=800)
+                st.download_button(
+                    label="下載雷達圖",
+                    data=fig_bytes,
+                    file_name="student_scores_radar_chart.png",
+                    mime="image/png"
+                )
+
+if __name__ == "__main__":
+    main()