# how to see decision tree when running in anaconda?

In Jupyter displaying the DT is done as follows:

# Display in jupyter notebook
from IPython.display import Image
Image(filename = 'tree.png')


How to see DT in anaconda?

there is a simpler way but sometimes it doesn't work first, you should call your method like this

tree_clf=tree.DecisionTree()


then you can choose a name and path for it, let others remain the same as I did so overall, it would look like:

from sklearn.tree import export_graphviz
export_graphviz(
tree_clf,
out_file=image_path("iris_tree.dot"),
feature_names=iris.feature_names[2:],
class_names=iris.target_names,
rounded=True,
filled=True
)


hope it works for you

• Welcome to DS StackExchange. Could you please elaborate more on your explanation? – Leevo Jan 9 at 10:40
• thanks, sry I thought it was enough of explanation – parsa Jan 9 at 12:32

Below is my code for visualizing a decision tree. Hope it helps.