Re: [Numpy-discussion] Where is Jaime?

On Sun, Dec 6, 2015 at 4:15 AM, Charles R Harris wrote: > > > On Sat, Dec 5, 2015 at 4:49 PM, Jaime Fernández del Río < > jaime.f...@gmail.com> wrote: > >> I'm alive and well: trying to stay afloat on a sea of messaging >> protocols, Java and Swiss bureaucracy, but

Re: [Numpy-discussion] When to stop supporting Python 2.6?

On Fri, Dec 4, 2015 at 9:29 AM, Bryan Van de Ven wrote: > > > > > On Dec 4, 2015, at 9:49 AM, Charles R Harris > wrote: > > > > > > > > On Fri, Dec 4, 2015 at 2:40 AM, Julian Taylor < > jtaylor.deb...@googlemail.com> wrote: > > dropping 3.2: +-0

Re: [Numpy-discussion] array of random numbers fails to construct

Allan, I see with a google search on your name that you are in the physics department at Rutgers. I got my BA in Physics there. 1975. Biological physics. A thought: Is there an entropy that can be assigned to the dna in an organism? I don't mean the usual thing, coupled to the heat bath.

Re: [Numpy-discussion] array of random numbers fails to construct

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

Re: [Numpy-discussion] Where is Jaime?

On Dec 6, 2015 6:03 PM, "Peter Creasey" wrote: > > > > > Is the interp fix in the google pipeline or do we need a workaround? > > > > Oooh, if someone is looking at changing interp, is there any chance > that fp could be extended to take complex128 rather than just

Re: [Numpy-discussion] array of random numbers fails to construct

Hi, On Sun, Dec 6, 2015 at 12:39 PM, DAVID SAROFF (RIT Student) wrote: > This works. A big array of eight bit random numbers is constructed: > > import numpy as np > > spectrumArray = np.random.randint(0,255, (2**20,2**12)).astype(np.uint8) > > > > This fails. It eats up all

Re: [Numpy-discussion] array of random numbers fails to construct

Matthew, That looks right. I'm concluding that the .astype(np.uint8) is applied after the array is constructed, instead of during the process. This random array is a test case. In the production analysis of radio telescope data this is how the data comes in, and there is no problem with 10GBy

Re: [Numpy-discussion] array of random numbers fails to construct

On Sun, Dec 6, 2015 at 10:07 PM, Matthew Brett wrote: > Hi, > > On Sun, Dec 6, 2015 at 12:39 PM, DAVID SAROFF (RIT Student) > wrote: > > This works. A big array of eight bit random numbers is constructed: > > > > import numpy as np > > > > spectrumArray

Re: [Numpy-discussion] Where is Jaime?

On Sun, Dec 6, 2015 at 1:40 AM, Jaime Fernández del Río < jaime.f...@gmail.com> wrote: > On Sun, Dec 6, 2015 at 4:15 AM, Charles R Harris < > charlesr.har...@gmail.com> wrote: > >> >> >> On Sat, Dec 5, 2015 at 4:49 PM, Jaime Fernández del Río < >> jaime.f...@gmail.com> wrote: >> >>> I'm alive and

[Numpy-discussion] array of random numbers fails to construct

This works. A big array of eight bit random numbers is constructed: import numpy as np spectrumArray = np.random.randint(0,255, (2**20,2**12)).astype(np.uint8) This fails. It eats up all 64GBy of RAM: spectrumArray = np.random.randint(0,255, (2**21,2**12)).astype(np.uint8) The difference