MinMaxScaler

def solve():
    import pandas as pd
    from sklearn.preprocessing import MinMaxScaler
    df = pd.read_csv("https://data.zuihe.com/breast_cancer.csv")
    X = df.drop("target", axis=1)
    X_m = MinMaxScaler().fit_transform(X)
    print(f"{X_m[:,0].min():.4f}:{X_m[:,0].max():.4f}")