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初级

统计各骑手配送量和平均评分

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_E01/restaurants.csv").read()
    menu_items_csv = open_url("https://data.zuihe.com/dbd/delivery/state_E01/menu_items.csv").read()
    riders_csv = open_url("https://data.zuihe.com/dbd/delivery/state_E01/riders.csv").read()
    orders_csv = open_url("https://data.zuihe.com/dbd/delivery/state_E01/orders.csv").read()
    order_items_csv = open_url("https://data.zuihe.com/dbd/delivery/state_E01/order_items.csv").read()
    delivery_logs_csv = open_url("https://data.zuihe.com/dbd/delivery/state_E01/delivery_logs.csv").read()
    import sqlite3
    import pandas as pd
    from io import StringIO

    conn = sqlite3.connect(':memory:')
    pd.read_csv(StringIO(riders_csv)).to_sql('riders', conn, index=False, if_exists='replace')
    pd.read_csv(StringIO(orders_csv)).to_sql('orders', conn, index=False, if_exists='replace')

    result = pd.read_sql_query("""
        SELECT r.name, COUNT(o.id) AS delivered_count, r.rating
        FROM riders r
        LEFT JOIN orders o ON r.id = o.rider_id AND o.status = 'delivered'
        GROUP BY r.id, r.name, r.rating
        ORDER BY delivered_count DESC
    """, conn)
    print(result.to_string(index=False))
    conn.close()

示例

输入
solve()
期望输出
name  delivered_count  rating
 李骑手                7     4.9
 张骑手                7     4.8
 孙骑手                7     4.8
 王骑手                6     4.7
 陈骑手                5     4.5
 赵骑手                4     4.6
 刘骑手                0     4.3
 周骑手                0     4.4
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