我正在尝试用dtreeviz做一个决策树

import pandas as pd
from sklearn import preprocessing, tree
from dtreeviz.trees import dtreeviz

我有一个PandasDF像：
DF1：

id | age | gender | platform | Customer 
1  | 34  | M      | Web      | User 
2  | 37  | F      | App      | Customer

我创建了一些虚拟变量

X = df1[['age', 'gender', 'portfolio_type', 'platform']]
X = pd.get_dummies(data=X, drop_first=True)

Y = df1[[ 'Customer']]
Y = pd.get_dummies(data=Y, drop_first=True)

然后创建测试集和训练集。

from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X, Y, test_size=0.4, random_state=101)

如果我创建一个像这样的决策树，它是有效的：

import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn import tree
from dtreeviz.trees import *

#fit the classifier
clf = tree.DecisionTreeClassifier(max_depth=3, random_state=42)
clf.fit(X_train, y_train)

树.绘图树（clf）

即视图（）
如果我这样做，它也会起作用：

tree.plot_tree(clf,
               feature_names = X.columns, 
               class_names= df['Customer'],
               rounded=True, 
               filled = True,
               fontsize=7
               );

但是如果我尝试使用dtreeviz，我会得到错误：

viz = dtreeviz(classifier, 
               X[["age",    "gender_M", "portfolio_type_esg",   "platform_web"]], 
               Y,
               target_name='Customer',
               feature_names = X.columns, 
               class_names= list(set(df['Customer']))
              )  
              
viz.view()


AttributeError: 'DataFrame' object has no attribute 'dtype'

为什么会这样？我能做些什么？