在Python机器学习实践中需要使用GraphViz显示决策树的图下面是安装、配置及验证过程:
1、官网下载稳定版并安装;
2、将“C:\Program Files (x86)\Graphviz2.38\bin”加入系统变量的“Path”这一步是必须的否则程序报错;
3、pip install graphviz;
4、使用下面代码验证:
import graphviz import sklearn.datasets as datasets import pandas as pd iris = datasets.load_iris() df = pd.DataFrame(iris.data, columns = iris.feature_names) y = iris.target from sklearn.tree import DecisionTreeClassifier dtree = DecisionTreeClassifier() dtree.fit(df, y) from sklearn.externals.six import StringIO from IPython.display import Image from sklearn.tree import export_graphviz import pydotplus dot_data = StringIO() export_graphviz(dtree, out_file = dot_data, filled = True, rounded = True, special_characters = True) graph = pydotplus.graph_from_dot_data(dot_data.getvalue()) Image(graph.create_png())以上代码在spyder、IDLE中运行不会报错,但是不会显示图,在jupyter notebook 中可以显示图,如下: