初级
查询所有当前逾期账户及逾期天数
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
clients_csv = open_url("https://data.zuihe.com/dbd/credit/state_04/clients.csv").read()
loans_csv = open_url("https://data.zuihe.com/dbd/credit/state_04/loans.csv").read()
loan_repayment_schedule_csv = open_url("https://data.zuihe.com/dbd/credit/state_04/loan_repayment_schedule.csv").read()
loan_charges_csv = open_url("https://data.zuihe.com/dbd/credit/state_04/loan_charges.csv").read()
import sqlite3, pandas as pd
from io import StringIO
conn = sqlite3.connect(':memory:')
pd.read_csv(StringIO(loans_csv)).to_sql('loans', conn, index=False, if_exists='replace')
result = pd.read_sql_query("SELECT loan_no, client_id, outstanding_balance, days_in_arrears, classification FROM loans WHERE days_in_arrears > 0 ORDER BY days_in_arrears DESC", conn)
print(result.to_string(index=False))
conn.close()
示例
输入
solve()
期望输出
loan_no client_id outstanding_balance days_in_arrears classification LN20260011 12 22000 150 DOUBTFUL LN20260009 6 28000 95 SUBSTANDARD LN20260006 11 1350000 65 SUBSTANDARD LN20260005 5 52000 35 WATCH
👑
升级 VIP
解锁全部题目,畅通无阻地学习
- ✓ 解锁全部训练包所有题目
- ✓ 查看完整参考代码和提示
- ✓ 浏览器内直接运行 Python 代码
- ✓ 自动批改 + 进度追踪
30天
¥18
1年
¥99
2年
¥158
3年
¥199