Matplotlib:个性化 imshow 轴 [英] Matplotlib: personalize imshow axis

问题描述

我得到了(H，ranges)= numpy.histogram2d()计算的结果，我正在尝试绘制它.

给定 H 我可以很容易地把它放到 plt.imshow(H) 中得到相应的图像.(请参见

I have the results of a (H,ranges) = numpy.histogram2d() computation and I'm trying to plot it.

Given H I can easily put it into plt.imshow(H) to get the corresponding image. (see http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.imshow )

My problem is that the axis of the produced image are the "cell counting" of H and are completely unrelated to the values of ranges.

I know I can use the keyword extent (as pointed in: Change values on matplotlib imshow() graph axis ). But this solution does not work for me: my values on range are not growing linearly (actually they are going exponentially)

My question is: How can I put the value of range in plt.imshow()? Or at least, or can I manually set the label values of the plt.imshow resulting object?

Editing the extent is not a good solution.

解决方案

You can just change the tick labels to something more appropriate for your data.

For example, here we'll set every 5th pixel to an exponential function:

import numpy as np
import matplotlib.pyplot as plt

im = np.random.rand(21,21)

fig,(ax1,ax2) = plt.subplots(1,2)

ax1.imshow(im)
ax2.imshow(im)

# Where we want the ticks, in pixel locations
ticks = np.linspace(0,20,5)
# What those pixel locations correspond to in data coordinates.
# Also set the float format here
ticklabels = ["{:6.2f}".format(i) for i in np.exp(ticks/5)]

ax2.set_xticks(ticks)
ax2.set_xticklabels(ticklabels)
ax2.set_yticks(ticks)
ax2.set_yticklabels(ticklabels)

plt.show()

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