在次要情节中关闭轴

我有以下密码:

import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import matplotlib.cm as cm


img = mpimg.imread("lena.jpg")


f, axarr = plt.subplots(2, 2)
axarr[0,0].imshow(img, cmap = cm.Greys_r)
axarr[0,0].set_title("Rank = 512")


rank = 128
new_img = prune_matrix(rank, img)
axarr[0,1].imshow(new_img, cmap = cm.Greys_r)
axarr[0,1].set_title("Rank = %s" %rank)


rank = 32
new_img = prune_matrix(rank, img)
axarr[1,0].imshow(new_img, cmap = cm.Greys_r)
axarr[1,0].set_title("Rank = %s" %rank)


rank = 16
new_img = prune_matrix(rank, img)
axarr[1,1].imshow(new_img, cmap = cm.Greys_r)
axarr[1,1].set_title("Rank = %s" %rank)


plt.show()

然而，由于坐标轴上的数值，结果相当难看:

enter image description here

如何同时关闭所有子图的轴值？

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最佳答案

You can turn the axes off by following the advice in Veedrac's comment (linking to here) with one small modification.

Rather than using plt.axis('off') you should use ax.axis('off') where ax is a matplotlib.axes object. To do this for your code you simple need to add axarr[0,0].axis('off') and so on for each of your subplots.

The code below shows the result (I've removed the prune_matrix part because I don't have access to that function, in the future please submit fully working code.)

import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import matplotlib.cm as cm


img = mpimg.imread("stewie.jpg")


f, axarr = plt.subplots(2, 2)
axarr[0,0].imshow(img, cmap = cm.Greys_r)
axarr[0,0].set_title("Rank = 512")
axarr[0,0].axis('off')


axarr[0,1].imshow(img, cmap = cm.Greys_r)
axarr[0,1].set_title("Rank = %s" % 128)
axarr[0,1].axis('off')


axarr[1,0].imshow(img, cmap = cm.Greys_r)
axarr[1,0].set_title("Rank = %s" % 32)
axarr[1,0].axis('off')


axarr[1,1].imshow(img, cmap = cm.Greys_r)
axarr[1,1].set_title("Rank = %s" % 16)
axarr[1,1].axis('off')


plt.show()

Stewie example

Note: To turn off only the x or y axis you can use set_visible() e.g.:

axarr[0,0].xaxis.set_visible(False) # Hide only x axis
小开 
import matplotlib.pyplot as plt


fig, ax = plt.subplots(2, 2)


To turn off axes for all subplots, do either:

[axi.set_axis_off() for axi in ax.ravel()]

or

map(lambda axi: axi.set_axis_off(), ax.ravel())

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