如何在matplotlib对数-对数图上删除科学计数法 [英] How to remove scientific notation on a matplotlib log-log plot

问题描述

我知道之前有人问过这个问题，但我尝试了所有可能的解决方案，但没有一个对我有用.

I know that this question has been asked before, but I tried all the possible solutions and none of them worked for me.

因此，我在matplotlib中有一个对数对数图，我想避免在x轴上使用科学计数法.

So, I have a log-log plot in matplotlib, and I would like to avoid scientific notation on the x-axis.

这是我的代码:

from numpy import array, log, pi
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
import matplotlib.ticker as mticker

plt.rc('axes.formatter', useoffset=False)

tc = array([7499680.0, 12508380.0, 23858280.0, 34877020.0, 53970660.0, 89248580.0, 161032860.0, 326814160.0, 784460200.0])

theta = array([70, 60, 50, 45, 40, 35, 30, 25, 20])

plt.scatter(theta,tc)

ax=plt.gca()

ax.set_xscale('log')
ax.set_yscale('log')

ax.xaxis.set_major_formatter(mticker.ScalarFormatter())
ax.xaxis.get_major_formatter().set_scientific(False)
ax.xaxis.get_major_formatter().set_useOffset(False)

plt.show()

这是输出:

如您所见，x 轴上的数字仍采用科学计数法.我想将它们显示为 20、30、40……我尝试了所有可能的解决方案，但没有结果.

As you can see, the numbers on the x-axis are still in scientific notation. I would like to display them as 20, 30, 40... I tried every possible solution with no result.

非常感谢能为您提供帮助的所有人.

Thank you very much to everyone that will help.

NB.我不能使用 plt.loglog() 命令，因为我正在对数据进行一些曲线拟合，我需要这样.

NB. I can't use the plt.loglog() command, because I am doing some curve fitting on the data and I need it like that.

NB2.我注意到发生了一件很奇怪的事情:如果我将代码更改为yaxis.get_mayor_formatter()...，它可以在y轴上工作！只是在 x 上它不起作用.怎么可能?

NB2. I noticed a very weird thing happening: if I change the code to yaxis.get_mayor_formatter()..., it works on the y-axis! It is just on the x one that it's not working. How is it possible?

也许不清楚，但如果你看代码，有3种方法会影响x-ticks的显示: plt.rc('axes.formatter', useoffset=False)， ax.xaxis.set_major_formatter(mticker.ScalarFormatter())和 ax.xaxis.get_major_formatter().set_scientific(False).根据我的发现，这是3种方法，它们都应该一个人完成，但事实并非如此.当然，我也一一尝试了它们，而不是一起尝试.

maybe it is not clear, but if you look at the code, there are 3 methods that should affect the display of the x-ticks: plt.rc('axes.formatter', useoffset=False), ax.xaxis.set_major_formatter(mticker.ScalarFormatter()) and ax.xaxis.get_major_formatter().set_scientific(False). They are 3 methods that should all do the trick alone, according to what I found around, but they don't. Of course I also tried them one by one and not all together.

推荐答案

这些是x轴上的次要刻度线(即它们不是10的整数次幂)，而不是主要刻度线. matplotlib 自动确定是否应标记主要或次要价格变动–在这种情况下，因为您没有在x范围内显示任何主要价格变动，因此将对次要价格变动进行标记.所以，你需要使用 set_minor_formatter 方法:

Those are minor ticks on the x-axis (i.e. they are not on integer powers of 10), not major ticks. matplotlib automatically detemines if it should label the major or minor ticks - in this case because you don't have any major ticks displayed in the x range, the minor ticks are being labelled). So, you need to use the set_minor_formatter method:

ax.xaxis.set_minor_formatter(mticker.ScalarFormatter())

它在 y 轴上起作用的原因是因为这些刻度是主要刻度(即 10 的整数次幂)，而不是次刻度.

The reason it works on the y-axis is because those ticks are major ticks (i.e. on integer powers of 10), not minor ticks.

这篇关于如何在matplotlib对数-对数图上删除科学计数法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！