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Visualize Decision Tree without Graphviz.

Project description

# dtreeplt
it draws Decision Tree not using Graphviz, but only matplotlib.
## Output Image using proposed method (using only matplotlib)
## Output Image using conventional method (Using Graphviz)

## Installation
`pip install dtreeplt`
Requirements are numpy(>=1.15.1), matplotlib(>=3.0.2) and scikit-learn(>=0.20.2) only.
Python 3.6.X.

## Usage
### Quick Start
from dtreeplt import dtreeplt
dtree = dtreeplt()
### 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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