综合案例实战：Z-Score危险区公司筛选

"____""____""____"

metadata = {
    "____": "____",
    "____": "____",
    "____": "____",
    "____": "____",
    "____": ["____", "____"],
    "____": ["____", "____", "____"],
    "____": ____
}

"____""____""____"

def solve():
    import pandas as pd
    from pyodide.http import open_url
    from io import StringIO

    BASE_URL = "____"
    zs = pd.read_csv(StringIO(open_url(____).read()))
    bs = pd.read_csv(StringIO(open_url(____).read()))

    zs23 = zs[zs['____'] == '____'][['____', '____']]
    bs23 = bs[(____) & (____)][
        ['____', '____', '____', '____']]

    df = zs23.merge(____).dropna(____)
    df = df[df['____'] > ____]
    df['____'] = (____).round(____)

    c1 = (____).sum()
    c2 = ((____) & (____)).sum()
    c3 = ((____) & (____)).sum()
    total = len(____)

    stat = (____)
    result = df[df['____'] < ____].nsmallest(____, '____')[
        ['____', '____', '____', '____']
    ].reset_index(____)
    return stat + result.to_string()

if __name__ == "____":
    print(solve())