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生成账户集中度报告（前10大账户）

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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(clients_csv)).to_sql('clients', conn, index=False, if_exists='replace')
    pd.read_csv(StringIO(savings_accounts_csv)).to_sql('savings_accounts', conn, index=False, if_exists='replace')
    total = conn.execute('SELECT SUM(balance) FROM savings_accounts').fetchone()[0]
    df = pd.read_sql_query("""
        SELECT c.name AS client_name, a.account_no, a.balance
        FROM savings_accounts a JOIN clients c ON a.client_id=c.id
        ORDER BY a.balance DESC LIMIT 10
    """, conn)
    df['pct'] = (df['balance']/total*100).round(1).astype(str)+'%'
    print(df.to_string(index=False))
    top10 = df['balance'].sum()
    print(f"Top10合计: {round(top10,2)}, 占比: {round(top10/total*100,1)}%")
    conn.close()

示例

输入
solve()
期望输出
client_name       account_no   balance   pct
 深圳阳光科技有限公司 6299001000000021 1250000.0 23.7%
 深圳华晟电子有限公司 6299001000000025  875000.0 16.6%
 上海恒通实业有限公司 6299003000000023  620000.0 11.8%
        张三丰 6212002000000015  500000.0  9.5%
 深圳阳光科技有限公司 6216001000000032  500000.0  9.5%
 北京鑫盛贸易有限公司 6299002000000022  380000.0  7.2%
        张三丰 6213003000000031  200000.0  3.8%
 广州南方物流有限公司 6299004000000024  195000.0  3.7%
         郑艳 6213003000000030  100000.0  1.9%
 北京鑫盛贸易有限公司 6213002000000035  100000.0  1.9%
Top10合计: 4720000.0, 占比: 89.6%
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