Scaler对比可视化

def solve():
    import pandas as pd
    import matplotlib.pyplot as plt
    from sklearn.preprocessing import StandardScaler, MinMaxScaler, RobustScaler
    df = pd.read_csv(____)
    X = df.drop(____).iloc[:, :____]
    fig, axes = plt.subplots(____, ____, figsize=(____, ____))
    X_s = StandardScaler().fit_transform(____)
    axes[____].hist(____); axes[____].set_title(____)
    X_m = MinMaxScaler().fit_transform(____)
    axes[____].hist(____); axes[____].set_title(____)
    X_r = RobustScaler().fit_transform(____)
    axes[____].hist(____); axes[____].set_title(____)
    plt.tight_layout(); plt.show()
    print(____)