如何调整plot_tree图的大小以使其可读性？

Question

我试图用plot_tree从sklearn绘制一个matplotlib对象，但是我的树图看起来不太好。我的树看起来被压扁了：

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以下是我的代码：

from sklearn import tree
from sklearn.model_selection import cross_val_score
from sklearn.metrics import accuracy_score
import matplotlib.pyplot as plt

# create tree object 
model_gini_class = tree.DecisionTreeClassifier(criterion='gini')

# train the model using the training sets and check score
model_gini_class.fit(X_train, y_train)
model_gini_class.score(X_train, y_train)

# predict output
predicted_gini_class = model_gini_class.predict(X_test)

plt.figure()
tree.plot_tree(model_gini_class, filled=True)
plt.title("Decision trees on the Shakespear dataset (Gini)")
plt.show() # the tree looks squished?

所以我的问题是：

• 能告诉我如何调整sklearn plot_tree对象的大小使它看起来不受挤压吗？

谢谢,

Answer 1

这可能会有帮助

plt.figure(figsize=(10,10))

Answer 2

你可以做两件事：

方法1

# Decision tree
classifier = DecisionTreeClassifier()
classifier.fit(X_train, y_train)


_, ax = plt.subplots(figsize=(30,30)) # Resize figure
plot_tree(classifier, filled=True, ax=ax)
plt.show()

方法2

# Decision tree
classifier = DecisionTreeClassifier()
classifier.fit(X_train, y_train)

plt.figure(figsize=(30, 30) # Resize figure
plot_tree(classifier, filled=True)
plt.show()

不管你喜欢用什么

Answer 3

这可能会有帮助

from matplotlib import pyplot as plt
fig, axes = plt.subplots(nrows = 1,ncols = 1,figsize = (5,5), dpi=300)
tree.plot_tree(model_gini_class, filled=True)