Hi all,
I've noticed a change in numpy.histogram2d between (possibly very much)
older versions and the current one: The function can no longer handle
the situation where bin edges decrease instead of increasing monotonically.
The reason for this seems to be the handling of outliers histogramdd,
s
On Tue, Jan 4, 2011 at 8:14 AM, Keith Goodman wrote:
> On Tue, Jan 4, 2011 at 8:06 AM, Sebastian Haase wrote:
>> On Mon, Jan 3, 2011 at 5:32 PM, Erik Rigtorp wrote:
>>> On Mon, Jan 3, 2011 at 11:26, Eric Firing wrote:
Instead of calculating statistics independently each time the window is
On Mon, Jan 10, 2011 at 11:53 AM, totonixs...@gmail.com
wrote:
> Hi all,
>
> I have this problem: Given some point draw a circle centered in this
> point with radius r. I'm doing that using numpy this way (Snippet code
> from here [1]):
>
# Create the initial black and white image
import
A Tuesday 11 January 2011 06:45:28 Mark Wiebe escrigué:
> On Mon, Jan 10, 2011 at 11:35 AM, Mark Wiebe
wrote:
> > I'm a bit curious why the jump from 1 to 2 threads is scaling so
> > poorly.
> >
> > Your timings have improvement factors of 1.85, 1.68, 1.64, and
> > 1.79. Since
> >
> > the co
A Monday 10 January 2011 19:29:33 Mark Wiebe escrigué:
> > so, the new code is just < 5% slower. I suppose that removing the
> > NPY_ITER_ALIGNED flag would give us a bit more performance, but
> > that's great as it is now. How did you do that? Your new_iter
> > branch in NumPy already deals wit
