初级
统计配送距离、时效与超时率
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
from io import StringIO
import pandas as pd
deliveries=pd.read_csv(StringIO(open_url("https://data.zuihe.com/dbd/ms-takeaway/state_02/deliveries.csv").read()))
print(f"Total deliveries: {len(deliveries)}")
print(f"Avg distance_km: {round(deliveries['distance_km'].mean(),2)}")
print(f"Avg actual_duration_min: {round(deliveries['actual_duration_min'].mean(),1)}")
overtime=deliveries[deliveries['is_overtime']==1]
print(f"Overtime deliveries: {len(overtime)} ({round(len(overtime)/len(deliveries)*100,1)}%)")
print(f"Avg overtime_min: {round(overtime['overtime_min'].mean(),1)}")
示例
输入
solve()
期望输出
Total deliveries: 147 Avg distance_km: 2.72 Avg actual_duration_min: 26.4 Overtime deliveries: 1 (0.7%) Avg overtime_min: 7.0
👑
升级 VIP
解锁全部题目,畅通无阻地学习
- ✓ 解锁全部训练包所有题目
- ✓ 查看完整参考代码和提示
- ✓ 浏览器内直接运行 Python 代码
- ✓ 自动批改 + 进度追踪
30天
¥18
1年
¥99
2年
¥158
3年
¥199