[Numpy-discussion] Raveling, reshape order keyword unnecessarily confuses index and memory ordering

josef.pktd at gmail.com josef.pktd at gmail.com
Thu Apr 4 19:13:31 EDT 2013

On Thu, Apr 4, 2013 at 5:54 PM, Chris Barker - NOAA Federal
<chris.barker at noaa.gov> wrote:
> On Thu, Apr 4, 2013 at 11:26 AM,  <josef.pktd at gmail.com> wrote:
>>> Before you answer that -- does anyone see a use case for the 'A' and
>>> 'K' flags that can't be reasonably easily accomplished with .view() or
>>> asarray() or ???
>> What order does   a[a>2]  use to create the returned 1-D array?
> ...
>> However, I never needed to know and never cared
>> a[a>2] = 5
>> a[a>2] = b[a>2]
>> Now, after this thread, I know about "K",
> does that use case use ravel() or reshape() under the hood?

only ravel has "K" as far as I saw in the current documentation.

example for ravel("K") would be if axis=None in functions and we
only have elementwise or reduce operations.
All the code I've seen uses just ravel() in this case, instead,
ravel("K") would have a better chance to avoid array copying,

if axis is None:
   x = x.ravel("K")
return ((x - x.mean(0))**2).sum(0)

but it's dangerous because, if there is a second array, it might not ravel("K")
the same way
x.ravel("K") - y.ravel("K") sounds fun

similar if x[mask] wouldn't select a fixed "order", then
a[a>2] = b[a>2] would also be fun

fun := find the bug that I have hidden in this code

The only reason to use reshape with "A", I can think
of, is, if the array (matrix) is symmetric, or if it's a square
picture and we never care whether it's upright or sideways.

reshape(.., order="A") and ravel("A") should roundtrip, I guess.


>> and there might be cases
>> where it would be appropriate to minimize copying memory,
> hmm -- yes, that makes sense, and perhaps compelling enough to keep
> them around (at least with perhaps better docs).
> -Chris
> --
> Christopher Barker, Ph.D.
> Oceanographer
> Emergency Response Division
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