← 返回题库
初级

统计各机构存款余额占比

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_07/offices.csv").read()
    staff_csv = open_url("https://data.zuihe.com/dbd/core/state_07/staff.csv").read()
    savings_products_csv = open_url("https://data.zuihe.com/dbd/core/state_07/savings_products.csv").read()
    clients_csv = open_url("https://data.zuihe.com/dbd/core/state_07/clients.csv").read()
    savings_accounts_csv = open_url("https://data.zuihe.com/dbd/core/state_07/savings_accounts.csv").read()
    savings_account_transactions_csv = open_url("https://data.zuihe.com/dbd/core/state_07/savings_account_transactions.csv").read()
    gl_accounts_csv = open_url("https://data.zuihe.com/dbd/core/state_07/gl_accounts.csv").read()
    journal_entries_csv = open_url("https://data.zuihe.com/dbd/core/state_07/journal_entries.csv").read()
    clearing_records_csv = open_url("https://data.zuihe.com/dbd/core/state_07/clearing_records.csv").read()
    import sqlite3, pandas as pd
    from io import StringIO
    conn = sqlite3.connect(':memory:')
    pd.read_csv(StringIO(offices_csv)).to_sql('offices', conn, index=False, if_exists='replace')
    pd.read_csv(StringIO(savings_accounts_csv)).to_sql('savings_accounts', conn, index=False, if_exists='replace')
    df = pd.read_sql_query("SELECT o.name AS office_name, ROUND(SUM(a.balance),2) AS balance_amount FROM savings_accounts a JOIN offices o ON a.office_id=o.id GROUP BY o.id, o.name ORDER BY balance_amount DESC", conn)
    total = df['balance_amount'].sum()
    df['balance_pct'] = (df['balance_amount']/total*100).round(1).astype(str)+'%'
    print(df.to_string(index=False))
    conn.close()

示例

输入
solve()
期望输出
office_name  balance_amount balance_pct
   阳光商业银行总行       2125000.0       50.2%
     上海浦东支行        632100.0       14.9%
   阳光银行上海分行        620000.0       14.6%
   阳光银行北京分行        380000.0        9.0%
   阳光银行广州分行        195000.0        4.6%
     北京朝阳支行        133500.0        3.2%
     广州天河支行        103800.0        2.5%
     北京海淀支行         45700.0        1.1%
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