初级
统计各缴费类型的月度交易量
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
account_types_csv = open_url("https://data.zuihe.com/dbd/payment/state_06/account_types.csv").read()
payment_channels_csv = open_url("https://data.zuihe.com/dbd/payment/state_06/payment_channels.csv").read()
accounts_csv = open_url("https://data.zuihe.com/dbd/payment/state_06/accounts.csv").read()
transfers_csv = open_url("https://data.zuihe.com/dbd/payment/state_06/transfers.csv").read()
bills_csv = open_url("https://data.zuihe.com/dbd/payment/state_06/bills.csv").read()
import sqlite3, pandas as pd
from io import StringIO
conn = sqlite3.connect(':memory:')
pd.read_csv(StringIO(bills_csv)).to_sql('bills', conn, index=False, if_exists='replace')
result = pd.read_sql_query("SELECT bill_type, COUNT(*) as count, SUM(amount) as total_amount FROM bills GROUP BY bill_type ORDER BY total_amount DESC", conn)
print(result.to_string(index=False))
conn.close()
示例
输入
solve()
期望输出
bill_type count total_amount
CREDIT_CARD 1 12500.0
PROPERTY 1 2800.0
ELECTRICITY 3 1150.0
WATER 2 245.5
GAS 2 215.0
PHONE 1 199.0
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