如何设置x& y轴的对数刻度刻度? [英] How to set the ticks of log scale for x&y axis?

问题描述

我想绘制一个没有科学计数法的对数刻度图.

I want to plot a log scale graph without scientific notation.

    import matplotlib as mpl
    import matplotlib.pyplot as plt

    plt.plot(np.arange(0,10,0.1))

    plt.xscale('log')
    plt.yscale('log')
    plt.xlim(0.1,100)
    plt.ylim(1,10)

    plt.gca().xaxis.set_major_formatter(mpl.ticker.ScalarFormatter())
    plt.gca().yaxis.set_major_formatter(mpl.ticker.ScalarFormatter())
    plt.show()

问题:

1. Y轴仍显示科学计数法的格式.如何更改?

1. Y axis still shows the format of scientific notation. How to change it?

如何对y轴进行特定刻度?我尝试了plt.yticks([1,10])，但是没有用.

How to make specific ticks for y axis? I tried plt.yticks([1,10]), but it doesn't work.

如何摆脱x和y轴刻度的小数点?

How to get rid of the decimal point of ticks for both x and y axis?

推荐答案

1.摆脱科学计数法.

刻度线是主要和次要刻度线，因此您还需要设置次要格式器:

The ticks are major and minor ticks, hence you would need to set the minor formatter as well:

plt.gca().yaxis.set_major_formatter(mpl.ticker.ScalarFormatter())
plt.gca().yaxis.set_minor_formatter(mpl.ticker.ScalarFormatter())

2.在特定的自定义位置显示刻度线

摆脱次要的滴答标签可以使yticks正常工作.

Getting rid of the minor ticklabels allows yticks to work as expected.

plt.yticks([1,10])
plt.gca().yaxis.set_minor_formatter(mpl.ticker.NullFormatter())

3.摆脱小数点

我想摆脱0.1这样的标签的小数点是没有意义的.因此，人们可能会选择通用数字格式为 g 的StrMethodFormatter.

I suppose it does not make sense to get rid of the decimal points for a label like 0.1. Hence one would probably choose a StrMethodFormatter with the general purpose numeric format g.

plt.gca().yaxis.set_major_formatter(mpl.ticker.StrMethodFormatter("{x:g}"))

这篇关于如何设置x& y轴的对数刻度刻度?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！