如题，今天想用graphviz做一个决策树，结果就报错，我以为是graphviz没安装上，但是我发现没错啊，已经安装成功了，希望诸位大神帮一下忙
代码如下：
from sklearn import tree
from sklearn.datasets import load_wine
from sklearn.model_selection import train_test_split
wine=load_wine()
import pandas as pd
pd.concat([pd.DataFrame(wine.data),pd.DataFrame(wine.target)],axis=1)
Xtrain,Xtest,Ytrain,Ytest=train_test_split(wine.data,wine.target,test_size=0.3)
clf=tree.DecisionTreeClassifier(criterion='entropy')
clf=clf.fit(Xtrain,Ytrain)
score=clf.score(Xtest,Ytest)
feature_name=['酒精','苹果酸','灰','灰的碱性','镁','总酚','类黄酮','非黄烷类酚类',
'花青素','颜色强度','色调','od280/od315稀释葡萄酒','脯氨酸']
import graphviz
dot_data=tree.export_graphviz(clf
,feature_names=feature_name
,class_names=['琴酒','雪莉','贝尔摩德']
,filled=True
,rounded=True
)
graph=graphviz.Source(dot_data)
graph
