← 返回题库
初级

查询支持的货币种类及精度设置

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_10/offices.csv").read()
    staff_csv = open_url("https://data.zuihe.com/dbd/core/state_10/staff.csv").read()
    currencies_csv = open_url("https://data.zuihe.com/dbd/core/state_10/currencies.csv").read()
    savings_products_csv = open_url("https://data.zuihe.com/dbd/core/state_10/savings_products.csv").read()
    clients_csv = open_url("https://data.zuihe.com/dbd/core/state_10/clients.csv").read()
    savings_accounts_csv = open_url("https://data.zuihe.com/dbd/core/state_10/savings_accounts.csv").read()
    savings_account_transactions_csv = open_url("https://data.zuihe.com/dbd/core/state_10/savings_account_transactions.csv").read()
    gl_accounts_csv = open_url("https://data.zuihe.com/dbd/core/state_10/gl_accounts.csv").read()
    exchange_rates_csv = open_url("https://data.zuihe.com/dbd/core/state_10/exchange_rates.csv").read()
    import sqlite3, pandas as pd
    from io import StringIO
    conn = sqlite3.connect(':memory:')
    pd.read_csv(StringIO(currencies_csv)).to_sql('currencies', conn, index=False, if_exists='replace')
    result = pd.read_sql_query("SELECT code, name, decimal_places, is_active FROM currencies ORDER BY code", conn)
    print(result.to_string(index=False))
    conn.close()

示例

输入
solve()
期望输出
code name  decimal_places  is_active
 CNY  人民币               2          1
 EUR   欧元               2          1
 HKD   港元               2          1
 USD   美元               2          1
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