覆盖 y 轴刻度标签而不影响 pyplot 中的图形形状 [英] override y axis tick labels without affecting the graph shape in pyplot

问题描述

我想手动覆盖y轴刻度标签而不影响原始图的内容.例如，如何在不影响原始绘图形状的情况下显示 y 轴刻度标签 [1,10,100,1000,10000]，即仍然显示完美的二次曲线.

what I want to manually override the y axis tick labels without affecting the original plot. For example, how I can show y axis tick labels [1,10,100,1000,10000] instead without affecting the original plot shape, i.e, still show a perfect quadratic curve.

import numpy as np
import pylab as pl
x = [1, 2, 3, 4, 5]
y = [1, 4, 9, 16, 25]
pl.plot(x, y)
pl.title(’Plot of y vs. x’)
pl.xlabel(’x axis’)
pl.ylabel(’y axis’)
pl.show()

我尝试了以下操作，但这不起作用

I tried the following and it does not work

newYlabel = ['1','10','100','1000','10000']
p1.set_yticklabels(newYlabel)

推荐答案

set_yticklabels 是 Axes 实例的方法，pylab界面.试试吧

set_yticklabels is the method of Axes instance, and is not present in the pylab interface. Try instead

pl.gca().set_yticklabels(newYlabel)

gca 在这里代表获取当前轴.

编辑:图片:

用于获取它的脚本:

import numpy as np
import pylab as pl
x = [1, 2, 3, 4, 5]
y = [1, 4, 9, 16, 25]
pl.plot(x, y)
pl.title('Plot of y vs. x')
pl.xlabel('x axis')
pl.ylabel('y axis')
newYlabel = ['1','10','100','1000','10000']
pl.gca().set_yticklabels(newYlabel)
pl.show()

在 Fedora 21 上使用 matplotlib 1.4.3 和 python 2.7.8.

Used matplotlib 1.4.3 with python 2.7.8 on Fedora 21.

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