Reputation: 1511
When trying to run this little piece of code inspired from the matplotlib documentation Blend transparency with color in 2-D images:
import numpy as np
import matplotlib.pyplot as plt
test = np.random.random((300, 300))
plt.figure()
plt.imshow(test, alpha = test/test.max())
plt.show()
I end up with :
<matplotlib.image.AxesImage at 0x7f8bfe8cc610>Traceback (most recent call last):
File "/Users/darkvador/opt/anaconda3/lib/python3.7/site-packages/matplotlib/backends/backend_qt5.py", line 508, in _draw_idle
self.draw()
File "/Users/darkvador/opt/anaconda3/lib/python3.7/site-packages/matplotlib/backends/backend_agg.py", line 388, in draw
self.figure.draw(self.renderer)
File "/Users/darkvador/opt/anaconda3/lib/python3.7/site-packages/matplotlib/artist.py", line 38, in draw_wrapper
return draw(artist, renderer, *args, **kwargs)
File "/Users/darkvador/opt/anaconda3/lib/python3.7/site-packages/matplotlib/figure.py", line 1709, in draw
renderer, self, artists, self.suppressComposite)
File "/Users/darkvador/opt/anaconda3/lib/python3.7/site-packages/matplotlib/image.py", line 135, in _draw_list_compositing_images
a.draw(renderer)
File "/Users/darkvador/opt/anaconda3/lib/python3.7/site-packages/matplotlib/artist.py", line 38, in draw_wrapper
return draw(artist, renderer, *args, **kwargs)
File "/Users/darkvador/opt/anaconda3/lib/python3.7/site-packages/matplotlib/axes/_base.py", line 2647, in draw
mimage._draw_list_compositing_images(renderer, self, artists)
File "/Users/darkvador/opt/anaconda3/lib/python3.7/site-packages/matplotlib/image.py", line 135, in _draw_list_compositing_images
a.draw(renderer)
File "/Users/darkvador/opt/anaconda3/lib/python3.7/site-packages/matplotlib/artist.py", line 38, in draw_wrapper
return draw(artist, renderer, *args, **kwargs)
File "/Users/darkvador/opt/anaconda3/lib/python3.7/site-packages/matplotlib/image.py", line 619, in draw
renderer, renderer.get_image_magnification())
File "/Users/darkvador/opt/anaconda3/lib/python3.7/site-packages/matplotlib/image.py", line 881, in make_image
unsampled=unsampled)
File "/Users/darkvador/opt/anaconda3/lib/python3.7/site-packages/matplotlib/image.py", line 530, in _make_image
np.asarray(alpha_channel, np.float32) * out_alpha * alpha,
ValueError: operands could not be broadcast together with shapes (740,740) (300,300)
I'm under macos-catalina, with python:
Python 3.7.7 (default, Mar 26 2020, 10:32:53)
[Clang 4.0.1 (tags/RELEASE_401/final)] :: Anaconda, Inc. on darwin
Note that the error does not occur if:
plt.show()
alpha
-valueUpvotes: 0
Views: 2269
Reputation: 2630
From the matplotlib 3.1.3 documentation, the alpha
keyword argument must be a scalar value.
You should update to Matplotlib 3.3.1, because giving an array for the alpha
parameters must have been implemented in between these two versions.
Upvotes: 3
Reputation: 2630
Your alpha array alpha/alpha.max()
does not match the shape of the actual image array test
. From the test code you provided, we can create an alpha array and successfully display it as an alpha-varying image with the code below. So you have to make sure the alpha
array has the exact same shape as the test
array.
import numpy as np
import matplotlib.pyplot as plt
test = np.random.random((300, 300))
alpha = test / test.max()
print(alpha)
plt.figure()
plt.imshow(test, alpha = alpha)
plt.show()
producing the image below.
Upvotes: 2