Numpy array - duplicating rows and centering columns in a larger array
I have a large number of arrays with dimension 72, x where x is less than 144. I'd like to take these arrays and do two things to them:
Duplicate each row in the original so that there are 144 of them.
Center the arrays horizontally insi开发者_如何学运维de a larger 144
The end result is a 144x144 array. I'd like to use numpy and to the greatest extent possible avoid loops ( I can already implement this in loops ). I've searched around but haven't found a neat solution yet.
Thanks,
Let's take a smaller example:
import numpy as np
a = np.array([[1, 2],
[3, 4]])
b = np.zeros((4,4))
b[:,1:-1] = np.repeat(a, 2, axis=0)
# returns:
array([[ 0., 1., 2., 0.],
[ 0., 1., 2., 0.],
[ 0., 3., 4., 0.],
[ 0., 3., 4., 0.]])
So for your case:
a = np.arange(5184).reshape(72,72)
b = np.zeros((144,144))
b[36:-36,:] = np.repeat(a, int(144 / a.shape[0]) + 1, axis=1)[:,:144]
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