对数值型字段做Z-score标准化

def solve():
    from pyodide.http import open_url
    from io import StringIO
    loans_raw_csv = open_url(____).read()
    loans_clean_csv = open_url(____).read()
    import pandas as pd
    from sklearn.preprocessing import StandardScaler
    from io import StringIO
    df = pd.read_csv(StringIO(____))
    cols=['____','____','____','____','____']
    cols=[c for c in cols if c in df.columns]
    scaler=StandardScaler()
    scaled=scaler.fit_transform(df[cols].fillna(____))
    for i,c in enumerate(____):
        print(____)