如何使用 matplotlib 以指数方式缩放 Y 轴 [英] How can I exponentially scale the Y axis with matplotlib

问题描述

我正在尝试创建一个带有指数(?)Y 轴的 matplotlib 图，就像我在下面模拟的那个假图一样.对于我的数据，我想在它们接近最大Y值时散布这些值.而且我想在Y接近零时压缩这些值.

所有正常的日志"示例都做相反的事情:它们在远离零时压缩值.这当然是日志"所做的.我该如何创建指数缩放?

解决方案

从 matplotlib 3.1 开始，您可以通过

轻松定义任何自定义比例

ax.set_yscale('function', functions=(forward, inverse))

另请参见

I'm trying to create a matplotlib plot with an exponential(?) Y axis like the fake one I've mocked up below. For my data I want to spread the values out as they approach the max Y value. And I'd like to compress the values as Y gets close to zero.

All the normal 'log' examples do the opposite: they compress values as they get away from zero. Which is what 'log' does of course. How can I create an exponential(?) scaling instead?

解决方案

From matplotlib 3.1 onwards you can define any custom scale easily via

ax.set_yscale('function', functions=(forward, inverse))

Also see https://matplotlib.org/3.1.1/gallery/scales/scales.html

In this case, e.g.:

import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(1, 40, 100)
y = np.linspace(1, 4, 100)

fig, ax = plt.subplots()
ax.plot(x, y)

exp = lambda x: 10**(x)
log = lambda x: np.log(x)

# Set y scale to exponential
ax.set_yscale('function', functions=(exp, log))
ax.set(xlim=(1,40), ylim=(1,4))
ax.set_yticks([1, 3, 3.5, 3.75, 4.0])

plt.show()

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