[SciPy-user] temporary copies for in-place array modification?
Robert Kern
robert.kern@gmail....
Mon Jul 28 11:13:24 CDT 2008
On Mon, Jul 28, 2008 at 06:41, Steve Schmerler <elcorto@gmx.net> wrote:
> Hi all
>
> Say I do this:
>
> >>> a
> array([1, 2, 3, 4, 5, 6])
>
> >>> a[1:] = a[1:] - a[:-1]
The right-hand side of this will be a temporary array.
> >>> a
> array([1, 1, 1, 1, 1, 1])
>
> >>> b = a[1:]
> >>> ...
>
> I.e. I want to compute the difference of a's elements and store them in place
> in b = a[1:] to work with that (b is only a view so that's ok, no copy).
>
> Are there any temp copies of `a` involved? I ask b/c `a` will be large.
> Thanks!
Unfortunately, a temporary is unavoidable. If you modify `a` in-place,
you will mess up the computation. For example, we could try using the
third argument to the subtract() ufunc to place the results back into
a[1:]:
In [1]: import numpy
In [2]: a = numpy.arange(1,7)
In [3]: numpy.subtract(a[1:], a[:-1], a[1:])
Out[3]: array([1, 2, 2, 3, 3])
--
Robert Kern
"I have come to believe that the whole world is an enigma, a harmless
enigma that is made terrible by our own mad attempt to interpret it as
though it had an underlying truth."
-- Umberto Eco
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