自定义Seaborn关节图中的轴标签

问题描述

我似乎陷入了一个相对简单的问题，但在搜索了最后一个小时并且经过大量实验后无法解决.

I seem to have got stuck at a relatively simple problem but couldn't fix it after searching for last hour and after lot of experimenting.

我有两个numpy数组x和y，我正在使用seaborn的关节图来绘制它们:

I have two numpy arrays x and y and I am using seaborn's jointplot to plot them:

sns.jointplot(x, y)

现在，我想将x轴和y轴分别标记为"X轴标签"和"Y轴标签".如果使用plt.xlabel，则标签将转到边际分布.如何使它们出现在关节轴上?

Now I want to label the xaxis and yaxis as "X-axis label" and "Y-axis label" respectively. If I use plt.xlabel, the labels goes to the marginal distribution. How can I make them appear on the joint axes?

推荐答案

sns.jointplot返回 JointGrid 对象，它使您可以访问matplotlib轴，然后可以从那里进行操作.

sns.jointplot returns a JointGrid object, which gives you access to the matplotlib axes and you can then manipulate from there.

import seaborn as sns
import numpy as np

#example data
X = np.random.randn(1000,)
Y = 0.2 * np.random.randn(1000) + 0.5

h = sns.jointplot(X, Y)

# JointGrid has a convenience function
h.set_axis_labels('x', 'y', fontsize=16)

# or set labels via the axes objects
h.ax_joint.set_xlabel('new x label', fontweight='bold')

# also possible to manipulate the histogram plots this way, e.g.
h.ax_marg_y.grid('on') # with ugly consequences...

# labels appear outside of plot area, so auto-adjust
plt.tight_layout()

(您尝试的问题是，像plt.xlabel("text")这样的函数在当前轴上运行，而不是sns.jointplot中的中心轴；但是面向对象的接口更具体地说明了它将在什么轴上运行).

(The problem with your attempt is that functions such as plt.xlabel("text") operate on the current axis, which is not the central one in sns.jointplot; but the object-oriented interface is more specific as to what it will operate on).

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