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 np import 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.
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