[Numpy-discussion] Extract Indices of Numpy Array Based on Given Bit Information

[Artur Bercik]

On Sat, Oct 18, 2014 at 8:28 PM, Julian Taylor <
jtaylor.debian at 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.





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