I have 10 different matrix of size (60, 100). I want to put them along the third dimension inside a for loop, so that the final shape is (10, 60, 100).
I tried with concatenate and end up with size (600, 100).
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show us the code you triedanilkunchalaece– anilkunchalaece2019-03-29 10:22:10 +00:00Commented Mar 29, 2019 at 10:22
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Possible duplicate of Expanding NumPy array over extra dimensionuser3053452– user30534522019-03-29 10:23:39 +00:00Commented Mar 29, 2019 at 10:23
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I have 10 different matrix of size(60,100)sneha saha– sneha saha2019-03-29 10:31:10 +00:00Commented Mar 29, 2019 at 10:31
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3 Answers
numpy.stack will allow you to concatenate along new axis.
arrays = [mat1,mat2,.....]
out=np.stack(arrays, axis=0)
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Try creating a new array that you fill with your 2D arrays
new3DArray = numpy.empty(10, 60, 100)
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@MahmoudGeMy answer is my favorite. But there is also another way for reference:
out = np.concatenate((mat1[np.newaxis,:],mat1[np.newaxis,:],...),axis=0)
