I have an image which looks like so:
It was generated using matplotlib using:
for slice_idx in range(mandrill_t.highpasses[1].shape[2]):
print(slice_idx)
subplot(2, 3, slice_idx 1)
imshow(np.abs(mandrill_t.highpasses[1][:,:,slice_idx]), cmap='Spectral', clim=(0, 1))
However, for my use case, I would like all these 6 images in a single image with no gaps or axis - I do not have an example output image to show, but essentially, I would like them stacked horizontally (3 of them) and vertically (2 of them) so that the 6 images are a single image.
I tried looking around for similar problems to draw inspiration from, but no luck so far :(
Any pointers would be great.
CodePudding user response:
You have to specify the grid parameters:
- 2 rows
- 3 columns
- 0 width space
- 0 height space
CodePudding user response:
That's what GridSpec
is for (see plt.subplots
docs):
Just add the following line at the start:
subplots(2, 3, gridspec_kw={"wspace": 0, "hspace": 0})
You might also have to set some plot elements to invisible but it's hard to figure out exactly which without an MCVE.