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中级

数据清洗与标准化

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, json
    payloads_csv = open_url(____).read()
    payloads = pd.read_csv(StringIO(____))
    UNIT_MAP = {'____':'____','____':'____','____':'____','____':'____'}
    def clean_payload(____):
        try: payload = json.loads(____)
        except: return None
        cleaned = dict(____)
        for r in cleaned.get(____):
            if r.get(____) in UNIT_MAP:
                old = r['____']
                r['____'] = UNIT_MAP[old]
                if old == '____' and isinstance(r.get(____),(____)):
                    r['____'] = round((____)*____/____, ____)
            if isinstance(r.get(____),(____)):
                r['____'] = round(____)
        return cleaned
    valid = payloads[payloads['____']==____].head(____)
    for _, row in valid.iterrows():
        cleaned = clean_payload(____)
        if cleaned: print(____)

示例

输入
solve()
期望输出
id=1: readings=[{'metric': 'temperature', 'value': 72.3, 'unit': '°C'}]
id=2: readings=[{'metric': 'pressure', 'value': 1013.2, 'unit': 'hPa'}]
id=7: readings=[{'metric': 'vibration_rms', 'value': 8.5, 'unit': 'mm/s²'}]
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