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Visualize Decision Tree without Graphviz.

Project description


it draws Decision Tree not using Graphviz, but only matplotlib.
If interactive == True, it draws Interactive Decision Tree on Notebook.

Output Image using proposed method: dtreeplt (using only matplotlib)


Output Image using conventional method: export_graphviz (Using Graphviz)


Output Image using dtreeplt Interactive Decision Tree



If you want to use the latest version, please use them on git.

pip install git+

when it comes to update, command like below.

pip install git+ -U

Requirements: see requirements.txt
Python 3.6.X.


Quick Start

from dtreeplt import dtreeplt
dtree = dtreeplt()
# If you want to use interactive mode, set the parameter like below.
# dtree.view(interactive=True)

Using trained DecisionTreeClassifier

# You should prepare trained model,feature_names, target_names.
# in this example, use iris datasets.
from sklearn.datasets import load_iris
from sklearn.tree import DecisionTreeClassifier
from dtreeplt import dtreeplt

iris = load_iris()
model = DecisionTreeClassifier(),

dtree = dtreeplt(
fig = dtree.view()
#if you want save figure, use savefig method in returned figure object.

Project details

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