Visualizing decision tree in scikit-learn

Question

I am trying to design a simple Decision Tree using scikit-learn in Python (I am using Anaconda\'s Ipython Notebook with Python 2.7.3 on Windows OS) and visualize it as follo

Answer 1

Simple way founded here with pydotplus (graphviz must be installed):

from IPython.display import Image  
from sklearn import tree
import pydotplus # installing pyparsing maybe needed

...

dot_data = tree.export_graphviz(best_model, out_file=None, feature_names = X.columns)
graph = pydotplus.graph_from_dot_data(dot_data)
Image(graph.create_png())