On Sat, Oct 18, 2014 at 8:28 PM, Julian Taylor < jtaylor.deb...@googlemail.com> wrote:
> On 18.10.2014 07:58, Artur Bercik wrote: > > Dear Python and Numpy Users: > > > > My data are in the form of '32-bit unsigned integer' as follows: > > > > myData = np.array([1073741824, 1073741877, 1073742657, 1073742709, > > 1073742723, 1073755137, 1073755189,1073755969],dtype=np.int32) > > > > I want to get the index of my data where the following occurs: > > > > Bit No. 0–1 > > Bit Combination: 00 > > > > How can I do it? I heard this type of problem first time, please help me. > > > > Artur > > > > not sure I understand the problem, maybe this? > > np.where((myData & 0x3) == 0) > yes, it works greatly for the following case: myData = np.array([1073741824, 1073741877, 1073742657, 1073742709, 1073742723, 1073755137, 1073755189,1073755969],dtype=np.uint32) Bit No. 0–1 Bit Combination: 00 Can you make such automation for the following case as well? Bit No. 2–5 Bit Combination: 1101 Thanks in the advance. > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion >
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