统计各价格段商品数量

def solve():
    from pyodide.http import open_url
    users_csv = open_url("https://data.zuihe.com/dbd/ecommerce/state_A00/users.csv").read()
    categories_csv = open_url("https://data.zuihe.com/dbd/ecommerce/state_A00/categories.csv").read()
    products_csv = open_url("https://data.zuihe.com/dbd/ecommerce/state_A00/products.csv").read()
    import sqlite3
    import pandas as pd
    from io import StringIO

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

    result = pd.read_sql_query("""
        SELECT
            CASE
                WHEN price < 500    THEN '低价(<500)'
                WHEN price < 3000   THEN '中价(500-2999)'
                WHEN price < 8000   THEN '高价(3000-7999)'
                ELSE                     '旗舰(>=8000)'
            END AS price_range,
            COUNT(*) AS count
        FROM products
        WHERE status = 'on'
        GROUP BY price_range
        ORDER BY MIN(price)
    """, conn)
    print(result.to_string(index=False))
    conn.close()