Pardon me if I picked the wrong tags.
I have been asked to produce an image file (.png or .jpg) for the single, 4" high by 6" wide midpoint sagittal slice of a T1w anatomical image that will be used on a thank you card. I found nilearn.plotting.plot_anat(), and this seems to basically work,
plot_anat(img, output_file='image.jpg', display_mode='x', cut_coords=(25,), draw_cross=False, annotate=False)
but the size is quite small, and I am not a sufficiently practiced Python programmer to be able to figure out how to set the image size, which the documentation for
I tried adding
from matplotlib import pyplot as plt figsize = (6,4) plot_anat(img, display_mode='x', cut_coords=(25,), draw_cross=False, annotate=False, figure=0) plt.savefig('image.png')
thinking that might create the
matplotlib image 0 referred to in the
plot_anat() documentation, but that did not seem to work.
The scaling of the image seems to be to accommodate the height of the anatomical image, with the excess width being black, as is the image background. Several years ago, this might have been done manually by displaying the image in something like
fsleyes or SPM’s image viewer and then doing a screen capture of some kind.
That seems awkward and error-prone.