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dtype keyword for np.random.randint and np.random.rand

See original GitHub issue

As brought up at the mailinglist, this code ates up much memory:

spectrumArray = np.random.randint(0,255, (2**20,2**12)).astype(np.uint8)

It has also crossed my mind that np.random.randint and np.random.rand could use an extra ‘dtype’ keyword. It didn’t look easy to implement though.

See this thread on the mailinglist: [Numpy-discussion] array of random numbers fails to construct

Issue Analytics

State:
Created 8 years ago
Comments:29 (21 by maintainers)

Top GitHub Comments

3reactions

charriscommented, Jan 3, 2016

Someone might want floats instead of doubles, that would about double the speed.

0reactions

mattipcommented, May 29, 2019

Closing, the new API supports dtype. Please reopen if needed.

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