On Tue, Dec 15, 2015 at 8:29 PM, Sebastian Berg
wrote:
> Actually, your particular use-case is covered by the new `broadcast_to`
> function.
>
So it is! Fascinating, thanks for pointing that out! =)
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On Di, 2015-12-15 at 08:56 +0100, Sebastian Berg wrote:
> On Di, 2015-12-15 at 17:49 +1100, Juan Nunez-Iglesias wrote:
> > Hi,
> >
> >
> > I've recently been using the following pattern to create arrays of a
> > specific repeating value:
> >
> >
> > from numpy.lib.stride_tricks import as_stride
On Di, 2015-12-15 at 17:49 +1100, Juan Nunez-Iglesias wrote:
> Hi,
>
>
> I've recently been using the following pattern to create arrays of a
> specific repeating value:
>
>
> from numpy.lib.stride_tricks import as_strided
>
> value = np.ones((1,), dtype=float)
> arr = as_strided(value, shape=
Hi,
I've recently been using the following pattern to create arrays of a
specific repeating value:
from numpy.lib.stride_tricks import as_strided
value = np.ones((1,), dtype=float)
arr = as_strided(value, shape=input_array.shape, strides=(0,))
I can then use arr e.g. to count certain pairs of el
