On 12/08/2015 08:01 PM, Allan Haldane wrote: > 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
Oops, but I forgot my version is readonly. If you want to write to it you do need to make a copy, that's true. Allan _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion
