matplotlib:更改yaxis刻度标签 [英] matplotlib: change yaxis tick labels

问题描述

对于y轴上的每个刻度标签，我想更改: label -> 2^label

For each tick label on the y axis, I would like to change: label -> 2^label

我正在绘制日志日志数据(以2为底)，但是我希望标签显示原始数据值.

I am plotting log-log data (base 2), but I would like the labels to show the original data values.

我知道我可以得到当前的y标签 ylabels = plt.getp(plt.gca(), 'yticklabels')

I know I can get the current y labels with ylabels = plt.getp(plt.gca(), 'yticklabels')

这给了我一个列表:<a list of 9 Text yticklabel objects> 每个都是<matplotlib.text.Text object at 0x...>

This gives me a list: <a list of 9 Text yticklabel objects> each of which is a <matplotlib.text.Text object at 0x...>

我在 http://matplotlib.org/users/text_props中查看了文本对象的文档. html 但是我仍然不确定更改每个文本标签中的字符串的正确语法是什么.

I looked at the documentation of the text objects at http://matplotlib.org/users/text_props.html but I'm still not sure what the correct syntax is to change the string in each text label.

更改标签后，可以使用以下方法在轴上设置标签:

Once I change the labels, I could set them on the axis using:

plt.setp(plt.gca(), 'yticklabels', ylabels)

推荐答案

如果您想在一般情况下执行此操作，则可以使用FuncFormatter(请参见: matplotlib轴标签格式， Matplotlib set_major_formatter AttributeError )

If you want to do this in a general case you can use FuncFormatter (see : matplotlib axis label format, imshow: labels as any arbitrary function of the image indices. Matplotlib set_major_formatter AttributeError)

在这种情况下，以下方法应该起作用:

In you case the following should work:

import matplotlib as mpl
import matplotlib.pyplot as plt

def mjrFormatter(x, pos):
    return "$2^{{{0}}}$".format(x)

def mjrFormatter_no_TeX(x, pos):
    return "2^{0}".format(x)

ax = plt.gca()
ax.yaxis.set_major_formatter(mpl.ticker.FuncFormatter(mjrFormatter))
plt.draw()

逃避的{}转义是新样式字符串交配的结​​果

The absured {} escaping is a consequence of the new-style string frommating

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