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统计支付方式分布与退款情况

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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
    from io import StringIO
    import pandas as pd
    payments=pd.read_csv(StringIO(open_url("https://data.zuihe.com/dbd/ms-takeaway/state_03/payments.csv").read()))
    print(f"Total payments: {len(payments)}")
    print(f"By method: {dict(payments.groupby('payment_method').size())}")
    print(f"By status: {dict(payments.groupby('status').size())}")
    print(f"Total revenue: {round(payments[payments['status']=='paid']['amount'].sum(),2)}")
    refunded=payments[payments['status']=='refunded']
    print(f"Refunded: {len(refunded)} total={round(refunded['refund_amount'].sum(),2)}")

示例

输入
solve()
期望输出
Total payments: 176
By method: {'alipay': np.int64(51), 'card': np.int64(64), 'wechat': np.int64(61)}
By status: {'paid': np.int64(163), 'refunded': np.int64(13)}
Total revenue: 22586.86
Refunded: 13 total=1742.54
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