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查询客户的信用评分档案

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
    loan_products_csv = open_url("https://data.zuihe.com/dbd/credit/state_00/loan_products.csv").read()
    interest_rate_charts_csv = open_url("https://data.zuihe.com/dbd/credit/state_00/interest_rate_charts.csv").read()
    clients_csv = open_url("https://data.zuihe.com/dbd/credit/state_00/clients.csv").read()
    import sqlite3, pandas as pd
    from io import StringIO
    conn = sqlite3.connect(':memory:')
    pd.read_csv(StringIO(clients_csv)).to_sql('clients', conn, index=False, if_exists='replace')
    result = pd.read_sql_query("SELECT client_no, name, credit_score, credit_grade, credit_limit, status FROM clients ORDER BY credit_score DESC", conn)
    print(result.to_string(index=False))
    conn.close()

示例

输入
solve()
期望输出
client_no name  credit_score credit_grade  credit_limit   status
CLI20260009   周涛           830           A+       1000000   ACTIVE
CLI20260015   林辉           820           A+       1200000   ACTIVE
CLI20260003   王强           810           A+        800000   ACTIVE
CLI20260013   徐华           790            A        700000   ACTIVE
CLI20260001   张伟           780            A        500000   ACTIVE
CLI20260007   孙磊           770            A        400000   ACTIVE
CLI20260011   郑超           755           B+        600000   ACTIVE
CLI20260006   陈梅           745           B+        250000   ACTIVE
CLI20260002   李娜           720            B        300000   ACTIVE
CLI20260010   吴静           700            B        200000   ACTIVE
CLI20260005   刘洋           690            B        150000   ACTIVE
CLI20260004   赵芳           650            C        100000   ACTIVE
CLI20260012   马萍           640            C         60000   ACTIVE
CLI20260008   黄丽           620            C         80000 INACTIVE
CLI20260014   何芸           610            D         40000   ACTIVE
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