查询交易次数≥3的活跃账户

def solve():
    from pyodide.http import open_url
    offices_csv = open_url("https://data.zuihe.com/dbd/core/state_06/offices.csv").read()
    staff_csv = open_url("https://data.zuihe.com/dbd/core/state_06/staff.csv").read()
    savings_products_csv = open_url("https://data.zuihe.com/dbd/core/state_06/savings_products.csv").read()
    clients_csv = open_url("https://data.zuihe.com/dbd/core/state_06/clients.csv").read()
    savings_accounts_csv = open_url("https://data.zuihe.com/dbd/core/state_06/savings_accounts.csv").read()
    savings_account_transactions_csv = open_url("https://data.zuihe.com/dbd/core/state_06/savings_account_transactions.csv").read()
    gl_accounts_csv = open_url("https://data.zuihe.com/dbd/core/state_06/gl_accounts.csv").read()
    charges_csv = open_url("https://data.zuihe.com/dbd/core/state_06/charges.csv").read()
    savings_account_charges_csv = open_url("https://data.zuihe.com/dbd/core/state_06/savings_account_charges.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')
    pd.read_csv(StringIO(savings_account_transactions_csv)).to_sql('savings_account_transactions', conn, index=False, if_exists='replace')
    result = pd.read_sql_query("""
        SELECT a.account_no, COUNT(t.id) AS tx_count
        FROM savings_accounts a LEFT JOIN savings_account_transactions t ON t.account_id=a.id
        GROUP BY a.id, a.account_no HAVING tx_count>=3 ORDER BY tx_count DESC LIMIT 5
    """, conn)
    print(result.to_string(index=False))
    conn.close()