← 返回题库
初级

统计各开户日期的新开账户数

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
    offices_csv = open_url("https://data.zuihe.com/dbd/core/state_08/offices.csv").read()
    staff_csv = open_url("https://data.zuihe.com/dbd/core/state_08/staff.csv").read()
    savings_products_csv = open_url("https://data.zuihe.com/dbd/core/state_08/savings_products.csv").read()
    clients_csv = open_url("https://data.zuihe.com/dbd/core/state_08/clients.csv").read()
    savings_accounts_csv = open_url("https://data.zuihe.com/dbd/core/state_08/savings_accounts.csv").read()
    savings_account_transactions_csv = open_url("https://data.zuihe.com/dbd/core/state_08/savings_account_transactions.csv").read()
    gl_accounts_csv = open_url("https://data.zuihe.com/dbd/core/state_08/gl_accounts.csv").read()
    journal_entries_csv = open_url("https://data.zuihe.com/dbd/core/state_08/journal_entries.csv").read()
    charges_csv = open_url("https://data.zuihe.com/dbd/core/state_08/charges.csv").read()
    clearing_records_csv = open_url("https://data.zuihe.com/dbd/core/state_08/clearing_records.csv").read()
    import sqlite3, pandas as pd
    from io import StringIO
    conn = sqlite3.connect(':memory:')
    pd.read_csv(StringIO(savings_accounts_csv)).to_sql('savings_accounts', conn, index=False, if_exists='replace')
    result = pd.read_sql_query("SELECT activated_on AS date, COUNT(*) AS new_accounts FROM savings_accounts GROUP BY activated_on ORDER BY activated_on", conn)
    print(result.to_string(index=False))
    conn.close()

示例

输入
solve()
期望输出
date  new_accounts
2026-06-03             6
2026-06-04             6
2026-06-05             5
2026-06-06             4
2026-06-07             4
2026-06-30            10
Python 代码 🔒 登录后使用
🔒

登录后即可练习

注册免费账号，在浏览器中直接运行 Python 代码

登录 免费注册