Python 如何在 matplotlib 中“关闭”imshow() 的模糊效果？
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How to 'turn off' blurry effect of imshow() in matplotlib?
提问by Cupitor
I want to make a color plot of probabilities however imshow generates blurry values for points which have zero probability. How can I get rid of this blurry periphery around real grid points?
我想绘制概率的彩色图，但是 imshow 会为概率为零的点生成模糊值。如何摆脱真实网格点周围的模糊边缘？
Example:
例子：
import numpy as np
import matplotlib.pyplot as plt
a=np.asarray([[ 0.00000000e+00 , 1.05824446e-01 , 2.05086136e-04, 0.00000000e+00],
[ 1.05824446e-01 , 3.15012305e-01 , 1.31255127e-01 , 1.05209188e-01],
[ 2.05086136e-04 , 1.31255127e-01 , 0.00000000e+00 , 0.00000000e+00],
[ 0.00000000e+00 ,1.05209188e-01 , 0.00000000e+00 , 0.00000000e+00]])
im=plt.imshow(a,extent=[0,4,0,4],origin='lower',alpha=1,aspect='auto')
plt.show()
采纳答案by tacaswell
By default (which is changed mpl 2.0), imshowinterpolates the data (as you would want to do for an image). All you need to do is tell it to not interpolate:
默认情况下（已更改为 mpl 2.0），imshow插入数据（就像您希望对图像执行的操作一样）。您需要做的就是告诉它不要插值：
im = plt.imshow(..., interpolation='none')
'nearest'will also work for what you want. See smoothing between pixels of imagesc\imshow in matlab like the matplotlib imshowfor examples of all of the kinds of interpolation.
'nearest'也将适用于您想要的。有关所有类型的插值的示例，请参阅matlab 中的 imagesc\imshow 像素之间的平滑，如 matplotlib imshow。
回答by apublius
You may also use:
您还可以使用：
im = plt.imshow(..., interpolation='nearest')
This works especially well for discrete variables.
这对于离散变量特别有效。
