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中级

分析多设备传感器读数趋势

未完成
中级参考 代码结构已给出，请填写 ____ 处 
def solve():
    from pyodide.http import open_url
    from io import StringIO
    import pandas as pd
    readings_csv = open_url(____).read()
    readings = pd.read_csv(StringIO(____))
    print("____" + str(len(____)))
    print("____" + str(readings['____'].nunique()))
    print("____" + str(list(readings['____'].unique())))
    print(____)
    for metric, grp in readings.groupby(____):
        print("____" + metric + "____" + str(len(____)) + "____" + str(round(grp['____'].mean(),____)) + "____" + str(round(grp['____'].max(),____)))
    print(____)
    for q, grp in readings.groupby(____):
        print("____" + q + "____" + str(len(____)) + "____" + str(round(len(____)/len(____)*____,____)) + "____")

示例

输入
solve()
期望输出
Sensor readings: 288
Devices: 10
Metrics: ['temperature', 'pressure', 'vibration_rms', 'humidity', 'voltage', 'current']
Metric stats:
  current: count=24, mean=4.44, max=8.74
  humidity: count=24, mean=5.23, max=9.71
  pressure: count=48, mean=1003.25, max=1098.78
  temperature: count=120, mean=51.63, max=79.85
  vibration_rms: count=48, mean=10.23, max=19.94
  voltage: count=24, mean=230.85, max=239.75
Quality distribution:
  bad: 21 (7.3%)
  good: 257 (89.2%)
  uncertain: 10 (3.5%)
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