My apologies for the typo: 'implements' -> 'implementations'
-Robert
On Sun, Mar 15, 2015 at 11:06 PM, Robert McGibbon
wrote:
> It might make sense to dispatch to difference c implements if the bins are
> equally spaced (as created by using an integer for the np.histogram bins
> argument), vs.
It might make sense to dispatch to difference c implements if the bins are
equally spaced (as created by using an integer for the np.histogram bins
argument), vs. non-equally-spaced bins.
In that case, getting the bigger speedup may be easier, at least for one
common use case.
-Robert
On Sun, Ma
On Sun, Mar 15, 2015 at 9:32 PM, Robert McGibbon wrote:
> Hi,
>
> Numpy.histogram is implemented in python, and is a little sluggish. This
> has been discussed previously on the mailing list, [1, 2]. It came up in a
> project that I maintain, where a new feature is bottlenecked by
> numpy.histogr
In the past months there have been two proposals for new numpy functions
using the name "stack":
1. np.stack for stacking like np.asarray(np.bmat(...))
http://thread.gmane.org/gmane.comp.python.numeric.general/58748/
https://github.com/numpy/numpy/pull/5057
2. np.stack for stacking along an arbit
Hi,
Numpy.histogram is implemented in python, and is a little sluggish. This
has been discussed previously on the mailing list, [1, 2]. It came up in a
project that I maintain, where a new feature is bottlenecked by
numpy.histogram, and one developer suggested a faster implementation in
cython [3]
