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