I have the following code:
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()
However, the result is pretty ugly because of the values on the axes:
How can I turn off axes values for all subplots simultaneously?
We can turn off the axes of subplots in Matplotlib using axis() and set_axis_off() methods for axes objects. We can also turn off axes using the axis() method for the pyplot object. To turn off axis for X-axis in particular we use axes. get_xaxis().
Matplotlib removes both labels and ticks by using xaxis. set_visible() set_visible() method removes axis ticks, axis tick labels, and axis labels also. It makes the axis invisible completely.
Click anywhere in the chart for which you want to display or hide axes. This displays the Chart Tools, adding the Design, Layout, and Format tabs. On the Layout tab, in the Axes group, click Axes. Click the type of axis that you want to display or hide, and then click the options that you want.
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()
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
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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