← 返回题库
初级

加载用户数据并统计会员类型与骑行习惯

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
    users=pd.read_csv(StringIO(open_url("https://data.zuihe.com/dbd/ms-bikeshare/state_00/users.csv").read()))
    print(f"Total users: {len(users)}")
    print(f"By member_type: {dict(users.groupby('member_type').size())}")
    print(f"Avg total_trips: {round(users['total_trips'].mean(),1)}")
    print(f"Avg total_distance_km: {round(users['total_distance_km'].mean(),1)}")
    print(f"Users with violations: {len(users[users['violation_count']>0])}")

示例

输入
solve()
期望输出
Total users: 25
By member_type: {'annual': np.int64(4), 'monthly': np.int64(9), 'normal': np.int64(12)}
Avg total_trips: 79.6
Avg total_distance_km: 220.8
Users with violations: 11
Python 代码 🔒 登录后使用
🔒

登录后即可练习

注册免费账号，在浏览器中直接运行 Python 代码

登录 免费注册