If I have an array x, and do an np.repeat(x,2)
, I'm practically duplicating the array.
>>> x = np.array([1,2,3,4]) >>> np.repeat(x, 2) array([1, 1, 2, 2, 3, 3, 4, 4])
How can I do the opposite so that I end up with the original array?
It should also work with a random array y:
>>> y = np.array([1,7,9,2,2,8,5,3,4])
How can I delete every other element so that I end up with the following?
array([7, 2, 8, 3])
y[1::2]
should do the job. Here the second element is chosen by indexing with 1, and then taken at an interval of 2.
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