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%
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