初级
查询收入类会计科目的分录合计
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_03/offices.csv").read()
staff_csv = open_url("https://data.zuihe.com/dbd/core/state_03/staff.csv").read()
savings_products_csv = open_url("https://data.zuihe.com/dbd/core/state_03/savings_products.csv").read()
clients_csv = open_url("https://data.zuihe.com/dbd/core/state_03/clients.csv").read()
savings_accounts_csv = open_url("https://data.zuihe.com/dbd/core/state_03/savings_accounts.csv").read()
savings_account_transactions_csv = open_url("https://data.zuihe.com/dbd/core/state_03/savings_account_transactions.csv").read()
gl_accounts_csv = open_url("https://data.zuihe.com/dbd/core/state_03/gl_accounts.csv").read()
journal_entries_csv = open_url("https://data.zuihe.com/dbd/core/state_03/journal_entries.csv").read()
import sqlite3
import pandas as pd
from io import StringIO
conn = sqlite3.connect(':memory:')
pd.read_csv(StringIO(gl_accounts_csv)).to_sql('gl_accounts', conn, index=False, if_exists='replace')
pd.read_csv(StringIO(journal_entries_csv)).to_sql('journal_entries', conn, index=False, if_exists='replace')
result = pd.read_sql_query("""
SELECT ga.name AS account_name, SUM(je.amount) AS income_total
FROM journal_entries je
JOIN gl_accounts ga ON je.gl_account_id = ga.id
WHERE ga.type = 'INCOME' AND je.entry_type = 'CREDIT'
GROUP BY ga.id, ga.name
ORDER BY income_total DESC
""", conn)
if result.empty:
print('暂无收入分录')
else:
print(result.to_string(index=False))
conn.close()
示例
输入
solve()
期望输出
暂无收入分录
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