决策树特征重要性可视化

def solve():
    import pandas as pd
    import matplotlib.pyplot as plt
    from sklearn.tree import DecisionTreeClassifier
    from sklearn.model_selection import train_test_split
    df = pd.read_csv(____)
    X = df.drop(____); y = df["____"]
    X_train, X_test, y_train, y_test = train_test_split(____)
    tree = DecisionTreeClassifier(____).fit(____)
    imp = pd.Series(____).sort_values()
    top10 = imp.tail(____)
    plt.barh(range(len(____)), top10.values); plt.yticks(range(len(____)), top10.index)
    plt.xlabel(____); plt.title(____)
    plt.show()
    print(imp.idxmax())