[Numpy-discussion] converting 1 dimensional array to 2 dimensional array
Omry Levy
omrylevy at gmail.com
Mon Jul 15 13:43:50 EDT 2019
Hi All,
I know how to reshape arrays, my problem is a little more complicated than
that.
I am looking for the most efficient way to do the following and an example
will help:
1) I have a an array of bytes b = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]
This bytes array represents a width of 2 and a height of 3.
Each 2 bytes in that bytes array makes an unsigned 16 bit integer.
2) I want to get the following 2 dimensional array from the bytes array
where each item in the two dimensional array is an unsigned 16 bit integer
something like:
[
[(1,2) , (3,4)],
[(5,6) , (7,8)],
[(9,10) , (11,12)]
]
in the first row there are 2 elements each one is made of 2 bytes from the
bytes array etc...
meaning that
(1, 2) = b[0] + b[1] << 8
(3, 4) = b[2] + b[3] << 8
...
...
What is the most efficient way to achieve that with numpy ?
Thanks
0L
[1] << 8 ,[2], [3, 4]
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/numpy-discussion/attachments/20190715/a747e7c9/attachment.html>
More information about the NumPy-Discussion
mailing list