综合案例实战：低风险高成长公司筛选

"____""____""____"

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

"____""____"低风险高成长"____""____"

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

    BASE_URL = "____"
    sol = pd.read_csv(StringIO(open_url(____).read()))
    grw = pd.read_csv(StringIO(open_url(____).read()))
    inc = pd.read_csv(StringIO(open_url(____).read()))

    sol23 = sol[(____) & (____)][
        ['____', '____', '____', '____']].rename(____)
    grw23 = grw[(____) & (____)][
        ['____', '____']].rename(____)
    inc23 = inc[(____) & (____)][
        ['____', '____', '____']]

    df = sol23.merge(____).merge(____).dropna()
    df = df[df['____'] > ____]
    df['____'] = (____).round(____)

    mask = ((____) & (____) &
            (____) & (____))
    qualified = df[mask].copy()

    header = f"____"
    result = qualified.nlargest(____, '____')[
        ['____', '____', '____', '____', '____', '____']
    ].reset_index(____)
    return header + result.to_string()

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