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查询各类餐厅数量和平均起送价

未完成
初级参考 完整示例代码供参考，建议自己理解后重新输入 
def solve():
    from pyodide.http import open_url
    restaurants_csv = open_url("https://data.zuihe.com/dbd/delivery/state_E00/restaurants.csv").read()
    menu_items_csv = open_url("https://data.zuihe.com/dbd/delivery/state_E00/menu_items.csv").read()
    riders_csv = open_url("https://data.zuihe.com/dbd/delivery/state_E00/riders.csv").read()
    import sqlite3
    import pandas as pd
    from io import StringIO

    conn = sqlite3.connect(':memory:')
    pd.read_csv(StringIO(restaurants_csv)).to_sql('restaurants', conn, index=False, if_exists='replace')

    result = pd.read_sql_query("""
        SELECT category, COUNT(*) AS count,
               ROUND(AVG(min_order), 2) AS avg_min_order
        FROM restaurants
        GROUP BY category
        ORDER BY count DESC
    """, conn)
    print(result.to_string(index=False))
    conn.close()

示例

输入
solve()
期望输出
category  count  avg_min_order
      快餐      3          27.67
      中餐      3          28.33
      川菜      2          21.50
      日料      1          60.00
      咖啡      1          30.00
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