增加 Yellowbrick 平行坐标图的标题、标签和图例的字体大小

Question

我正在使用平行坐标图，我希望增加轴标签、图例和标题的字体大小，有人可以帮我吗？ 这是我所拥有的：

from sklearn import datasets
from yellowbrick.features import ParallelCoordinates

iris = datasets.load_iris()
X = iris.data[:, :] 
y = iris.target

features = ['sepal_length', 'sepal_width', 'petal_length', 'petal_width']
classes = ['Iris-setosa', 'Iris-versicolor', 'Iris-virginica']
title = "Plot over Iris Data"

# Instantiate the visualizer
visualizer = ParallelCoordinates(
    classes=classes, features=features, fast=False, alpha=.40, title=title)

# Fit the visualizer and display it
visualizer.fit_transform(X, y)
visualizer.show()

我在这里看到了另一个帖子，他们这样做了：

for label in viz.ax.texts:
    label.set_size(12)

但这对我来说没有任何改变，而且我似乎找不到适用于标签、标题和图例的替代方案。

Answer 1

如链接帖子中所述，可以直接访问 matplotlib ax元素以更改其属性（颜色、字体大小……）。 那篇文章还建议用visualizer.show()替换 Visualizer.show( visualizer.finalize() （添加标题和图例），因此可以在显示绘图之前更新元素。

from sklearn import datasets
from yellowbrick.features import ParallelCoordinates

iris = datasets.load_iris()
X = iris.data[:, :]
y = iris.target

features = ['sepal_length', 'sepal_width', 'petal_length', 'petal_width']
classes = ['Iris-setosa', 'Iris-versicolor', 'Iris-virginica']
title = "Plot over Iris Data"

# Instantiate the visualizer
visualizer = ParallelCoordinates(
    classes=classes, features=features, fast=False, alpha=.40, title=title)

# Fit the visualizer and display it
visualizer.fit_transform(X, y)
visualizer.finalize()  # creates title, legend, etc.

visualizer.ax.tick_params(labelsize=22)  # change size of tick labels
visualizer.ax.title.set_fontsize(30)  # change size of title

for text in visualizer.ax.legend_.texts:  # change size of legend texts
     text.set_fontsize(20)

visualizer.fig.tight_layout()  # fit all texts nicely into the surrounding figure
visualizer.fig.show()