在Matplotlib图中隐藏轴文本 [英] Hiding axis text in matplotlib plots

问题描述

我试图在两个轴上绘制没有刻度线或数字的图形(我使用传统意义上的轴，而不是matplotlib命名法！).我遇到的一个问题是，matplotlib通过减去值N来调整x(y)ticklabel，然后在轴的末端添加N.

I'm trying to plot a figure without tickmarks or numbers on either of the axes (I use axes in the traditional sense, not the matplotlib nomenclature!). An issue I have come across is where matplotlib adjusts the x(y)ticklabels by subtracting a value N, then adds N at the end of the axis.

这可能含糊不清，但是下面的简化示例突出了这个问题，其中"6.18"是N的有问题的值:

This may be vague, but the following simplified example highlights the issue, with '6.18' being the offending value of N:

import matplotlib.pyplot as plt
import random
prefix = 6.18

rx = [prefix+(0.001*random.random()) for i in arange(100)]
ry = [prefix+(0.001*random.random()) for i in arange(100)]
plt.plot(rx,ry,'ko')

frame1 = plt.gca()
for xlabel_i in frame1.axes.get_xticklabels():
    xlabel_i.set_visible(False)
    xlabel_i.set_fontsize(0.0)
for xlabel_i in frame1.axes.get_yticklabels():
    xlabel_i.set_fontsize(0.0)
    xlabel_i.set_visible(False)
for tick in frame1.axes.get_xticklines():
    tick.set_visible(False)
for tick in frame1.axes.get_yticklines():
    tick.set_visible(False)

plt.show()

我想知道的三件事是:

1. 如何首先关闭此行为(尽管在大多数情况下它很有用，但并非总是如此！)我已经浏览了matplotlib.axis.XAxis，却找不到合适的东西

1. How to turn off this behaviour in the first place (although in most cases it is useful, it is not always!) I have looked through matplotlib.axis.XAxis and cannot find anything appropriate

如何使N消失(即X.set_visible(False))

是否有更好的方法来执行上述操作?如果可以的话，我的最终绘图将是图形中的4x4子图.

Is there a better way to do the above anyway? My final plot would be 4x4 subplots in a figure, if that is relevant.

推荐答案

除了隐藏每个元素，您还可以隐藏整个轴:

Instead of hiding each element, you can hide the whole axis:

frame1.axes.get_xaxis().set_visible(False)
frame1.axes.get_yaxis().set_visible(False)

或者，您可以将刻度线设置为空列表:

Or, you can set the ticks to an empty list:

frame1.axes.get_xaxis().set_ticks([])
frame1.axes.get_yaxis().set_ticks([])

在第二个选项中，您仍然可以使用plt.xlabel()和plt.ylabel()在轴上添加标签.

In this second option, you can still use plt.xlabel() and plt.ylabel() to add labels to the axes.

这篇关于在Matplotlib图中隐藏轴文本的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！