There are two different interpretations in common use of how to handle
multi-valued (array/sequence) indexes. The numpy style is to consider all
multi-valued indices together which allows arbitrary points to be
extracted. The orthogonal style (e.g. as provided by netcdf4-python) is to
consider each
On 11 February 2015 at 18:22, Stephan Hoyer wrote:
> In my opinion, a "fixed" version of np.matrix should (1) not be a
> np.ndarray subclass and (2) exist in a third party library not numpy itself.
>
+1 for both of those ... but especially the first.
_
For some reason the Python issue 21223 didn't show any activity until I
logged in to post my patch. At which point I saw that haypo had already
submitted pretty much exactly the same patch. *sigh* That was pretty much a
waste of time then. :-|
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On 15 April 2014 10:48, Nathaniel Smith wrote:
> Anyone interested in picking this up?
> http://bugs.python.org/issue21233
>
Yes, I'll give it a go.
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I'm pleased to announce the release of Biggus version 0.5.0.
Biggus is a pure Python library for handling virtual n-dimensional arrays
of arbitrary size, and providing lazy/deferred evaluation of arithmetic and
statistical operations. Biggus works with your n-dimensional array data in
whatever for
