[Numpy-discussion] numpy.ascontiguousarray on byteswapped data !?
oliphant.travis at ieee.org
Fri Aug 11 15:02:28 CDT 2006
Sebastian Haase wrote:
> I just found this in myCVS/numpy/numpy/core/tests/test_numerictypes.py
> def normalize_descr(descr):
> "Normalize a description adding the platform byteorder."
> return out
> Is that what I was talking about !? It's quite a big animal.
> Would this be needed "everytime" I want to get a "systembyte-ordered version"
> of a given type !?
No, I'm not even sure why exactly that was written but it's just in the
testing code. I think the email I sent yesterday got lost because I
sent it CC: numpy-discussion with no To: address.
Here's what I said (more or less) in that email:
You can use the .newbyteorder(endian='s') method of the dtype object to
get a new data-type with a different byteorder. The possibilities for
endian are 'swap', 'big' ('>'), 'little' ('<'), or 'native' ('=').
This will descend down a complicated data-type and change all the
Then you can use .astype(newtype) to convert to the new byteorder.
The .isnative attribute of the data-type will tell you if the data-type
(or all of it's fields in recent SVN) are in native byte-order.
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