Actually I would try a broadcast multiply followed by ravel first. Kevin
On Sat, Jan 9, 2021, 21:12 Kevin Sheppard <kevin.k.shepp...@gmail.com> wrote: > What about arange and then an integer divide or mod? > > Kevin > > > On Sat, Jan 9, 2021, 20:54 <klark--k...@yandex.ru> wrote: > >> np.meshgrid, indexing, reshape >> >> 09.01.2021, 22:30, "Joseph Fox-Rabinovitz" <jfoxrabinov...@gmail.com>: >> >> 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 >> >> , >> >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@python.org >> https://mail.python.org/mailman/listinfo/numpy-discussion >> >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@python.org >> https://mail.python.org/mailman/listinfo/numpy-discussion >> >
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