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如何修改 matplotlib x 轴刻度标签?

[英]How to amend matplotlib x-axis ticklabels?

Here is a sample code:这是一个示例代码:

import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
import numpy as np
import math
x = np.arange(0, math.pi*2, 0.05)
fig = plt.figure()
ax = fig.add_axes([0.1, 0.1, 0.8, 0.8])
y = np.sin(x)
ax.plot(x, y, marker='s')
ax.set_xlabel('angle')
ax.set_title('sine')
#ax.set_xticklabels([" ",1,2,3,4,5," "]) # don't work
ax.set_yticks([-1,0,1])
plt.show()

It creates this Figure:它创建了这个图:

图1

For the x-axis, I would like to amend the x-axis ticklabels to only show 1,2,3,4,5 while I would like to blank-out 0 and 6. I tried ax.set_xticklabels([" ",1,2,3,4,5," "]) but this did not work.对于 x 轴,我想将 x 轴刻度标签修改为仅显示 1、2、3、4、5,而我想清除 0 和 6。我尝试ax.set_xticklabels([" ",1,2,3,4,5," "])但这不起作用。 I get this outcome instead:我得到了这个结果:

错误的

and this warning msg:这个警告信息:

Warning (from warnings module):
  File "~/test.py", line 12
    ax.set_xticklabels(["",1,2,3,4,5,""]) # don't work
UserWarning: FixedFormatter should only be used together with FixedLocator

How do I amend the x-axis ticklabels to only show 1,2,3,4,5?如何修改 x 轴刻度标签以仅显示 1、2、3、4、5?

You could just set the xticks with ax.set_xticks before calling your ax.set_xticklabels function.您可以在调用ax.set_xticklabels ax.set_xticks之前使用 ax.set_xticks 设置 xticks。 See code below:请参见下面的代码:

import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
import numpy as np
import math
x = np.arange(0, math.pi*2, 0.05)
fig = plt.figure()
ax = fig.add_axes([0.1, 0.1, 0.8, 0.8])
y = np.sin(x)
ax.plot(x, y, marker='s')
ax.set_xlabel('angle')
ax.set_title('sine')
ax.set_xticks(np.arange(7))
ax.set_xticklabels([" ",1,2,3,4,5," "]) 
ax.set_yticks([-1,0,1])
plt.show()

And the output gives: output 给出:

在此处输入图像描述

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