如何在使用 pandas 图创建的图上添加共享的x标签和y标签? [英] How to add a shared x-label and y-label to a plot created with pandas' plot?

问题描述

可以使用以下方法轻松地从数据框中创建子图熊猫:

import pandas as pd
import matplotlib.pyplot as plt

df = pd.DataFrame({'A': [0.3, 0.2, 0.5, 0.2], 'B': [0.1, 0.0, 0.3, 0.1], 'C': [0.2, 0.5, 0.0, 0.7], 'D': [0.6, 0.3, 0.4, 0.6]}, index=list('abcd'))

ax = df.plot(kind="bar", subplots=True, layout=(2, 2), sharey=True, sharex=True, rot=0, fontsize=20)

现在如何将x标签和y标签添加到结果图中? 此处，仅针对单个图进行说明.因此，如果我想为特定子图添加标签，我可以这样做:

How would one now add the x- and y-labels to the resulting plot? Here it is explained for a single plot. So if I wanted to add labels to a particular subplot I could do:

ax[1][0].set_xlabel('my_general_xlabel')
ax[0][0].set_ylabel('my_general_ylabel')
plt.show()

给出:

一个人如何添加标签，使它们居中，而不只是引用一个行/列?

How would one add the labels so that they are centred and do not just refer to a one row/column?

推荐答案

X和y标签绑定到matplotlib中的轴.因此，使用xlabel或ylabel命令来标记多个子图几乎没有意义.

X and y labels are bound to an axes in matplotlib. So it makes little sense to use xlabel or ylabel commands for the purpose of labeling several subplots.

但是，可以创建一个简单的文本并将其放置在所需的位置. fig.text(x,y, text)在图形坐标中的坐标x和y处放置一些文本，即图形的左下角具有坐标(0,0)右上角为(1,1).

What is possible though, is to create a simple text and place it at the desired position. fig.text(x,y, text) places some text at coordinates x and y in figure coordinates, i.e. the lower left corner of the figure has coordinates (0,0) the upper right one (1,1).

import pandas as pd
import matplotlib.pyplot as plt

df = pd.DataFrame({'A': [0.3, 0.2, 0.5, 0.2], 'B': [0.1, 0.0, 0.3, 0.1], 'C': [0.2, 0.5, 0.0, 0.7], 'D': [0.6, 0.3, 0.4, 0.6]}, index=list('abcd'))
axes = df.plot(kind="bar", subplots=True, layout=(2,2), sharey=True, sharex=True)

fig=axes[0,0].figure
fig.text(0.5,0.04, "Some very long and even longer xlabel", ha="center", va="center")
fig.text(0.05,0.5, "Some quite extensive ylabel", ha="center", va="center", rotation=90)

plt.show()

该解决方案的缺点是需要手动设置放置文本的位置的坐标，并且可能取决于图形的大小.

The drawback of this solution is that the coordinates of where to place the text need to be set manually and may depend on the figure size.

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