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初级

加载单车数据并统计类型与电量状态

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
    bikes=pd.read_csv(StringIO(open_url("https://data.zuihe.com/dbd/ms-bikeshare/state_00/bikes.csv").read()))
    print(f"Total bikes: {len(bikes)}")
    print(f"By type: {dict(bikes.groupby('bike_type').size())}")
    print(f"By status: {dict(bikes.groupby('status').size())}")
    ebikes=bikes[bikes['bike_type']=='ebike']
    print(f"E-bike avg battery: {round(ebikes['battery_pct'].mean(),1)}%")
    low_bat=ebikes[ebikes['battery_pct']<30]
    print(f"Low battery e-bikes (<30%): {len(low_bat)}")

示例

输入
solve()
期望输出
Total bikes: 100
By type: {'ebike': np.int64(34), 'folding': np.int64(9), 'regular': np.int64(57)}
By status: {'available': np.int64(72), 'charging': np.int64(1), 'damaged': np.int64(5), 'in_use': np.int64(22)}
E-bike avg battery: 63.1%
Low battery e-bikes (<30%): 3
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