在 pandas 图中仅隐藏轴标签，而不是整个轴 [英] Hide axis label only, not entire axis, in Pandas plot

问题描述

我可以使用以下命令清除Pandas图中xlabel的文本:

I can clear the text of the xlabel in a Pandas plot with:

plt.xlabel("")

相反，可以隐藏标签吗?

Instead, is it possible to hide the label?

可能类似于.xaxis.label.set_visible(False).

推荐答案

来自熊猫文档-

Series和DataFrame上的plot方法只是plt.plot()的简单包装:

The plot method on Series and DataFrame is just a simple wrapper around plt.plot():

这意味着您可以使用matplolib进行任何操作，也可以使用Pandas DataFrame图进行操作.

This means that anything you can do with matplolib, you can do with a Pandas DataFrame plot.

pyplot具有axis() 方法，可用于设置轴属性.在调用plt.show()之前先调用plt.axis('off')将会关闭两个轴.

pyplot has an axis() method that lets you set axis properties. Calling plt.axis('off') before calling plt.show() will turn off both axes.

df.plot()
plt.axis('off')
plt.show()
plt.close()

要控制单个轴，您需要通过图的轴.对于x轴-(pyplot.axes().get_xaxis(). .... )

To control a single axis, you need to set its properties via the plot's Axes. For the x axis - (pyplot.axes().get_xaxis().....)

df.plot()
ax1 = plt.axes()
x_axis = ax1.axes.get_xaxis()
x_axis.set_visible(False)
plt.show()
plt.close()

类似地，控制轴标签，获取标签并将其关闭.

Similarly to control an axis label, get the label and turn it off.

df.plot()
ax1 = plt.axes()
x_axis = ax1.axes.get_xaxis()
x_axis.set_label_text('foo')
x_label = x_axis.get_label()
##print isinstance(x_label, matplotlib.artist.Artist)
x_label.set_visible(False)
plt.show()
plt.close()

您也可以像这样到达x轴

You can also get to the x axis like this

ax1 = plt.axes()
x_axis = ax1.xaxis
x_axis.set_label_text('foo')
x_axis.label.set_visible(False)

或者这个

ax1 = plt.axes()
ax1.xaxis.set_label_text('foo')
ax1.xaxis.label.set_visible(False)

---

DataFrame.plot

返回一个 matplotlib.axes.Axes 或其中的numpy.ndarray

returns a matplotlib.axes.Axes or numpy.ndarray of them

因此您可以在调用它时获取它.

so you can get it/them when you call it.

axs = df.plot()

---

.set_visible()是 Artist 方法.轴及其标签是艺术家，因此它们具有艺术家方法/属性以及他们自己的.有很多方法可以自定义图.有时，您可以找到想要浏览的功能图库和

---

.set_visible() is an Artist method. The axes and their labels are Artists so they have Artist methods/attributes as well as their own. There are many ways to customize your plots. Sometimes you can find the feature you want browsing the Gallery and Examples

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