enh: add to get_spm_globals() #10
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| data = img.get_fdata() | ||
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| vals = np.array([ | ||
| spm_global(data[:,:,:,vol]) for vol in range(img.shape[-1]) |
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Nice list comprehension! You might also look into np.vectorize, or even consider vectorizing the spm_global calculation.
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Adding the body to the
get_spm_globals()function by taking the data from an image, and callingspm_globalon each volume in the 4th dimension of the image.The list of values is then returned