What other ways have you tried? On Sat, Jan 9, 2021 at 2:15 PM <klark--k...@yandex.ru> wrote:
> Hello. There is a random 1D array m_0 with size 3000, for example: > > m_0 = np.array([0, 1, 2]) > > I need to generate two 1D arrays: > > m_1 = np.array([0, 1, 2, 0, 1, 2, 0, 1, 2]) > m_2 = np.array([0, 0, 0, 1, 1, 1, 2, 2, 2]) > > Is there faster way to do it than this one: > > import numpy as npimport time > N = 3 > m_0 = np.arange(N) > > t = time.time() > m_1 = np.tile(m_0, N) > m_2 = np.repeat(m_0, N) > t = time.time() - t > > I tried other ways but they are slower or have the same time. Other NumPy > operations in my code 10-100 times faster. Why the repeating an array is so > slow? I need 10 times speed up. Thank you for your attantion to my problem. > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@python.org > https://mail.python.org/mailman/listinfo/numpy-discussion >
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