On 12/08/2015 07:40 PM, Stephan Hoyer wrote: > On Sun, Dec 6, 2015 at 3:55 PM, Allan Haldane <allanhald...@gmail.com > <mailto:allanhald...@gmail.com>> wrote: > > > I've also often wanted to generate large datasets of random uint8 > and uint16. As a workaround, this is something I have used: > > np.ndarray(100, 'u1', np.random.bytes(100)) > > 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. > > > Another workaround that avoids creating a copy is to use the view > method, e.g., > np.random.randint(np.iinfo(int).min, np.iinfo(int).max, > size=(1,)).view(np.uint8) # creates 8 random bytes
Just to note, the line I pasted doesn't copy either, according to the OWNDATA flag. Cheers, Allan _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion
