On Wed, 2013-04-24 at 12:03 -0400, josef.p...@gmail.com wrote:
> On Wed, Apr 24, 2013 at 4:11 AM, Sebastian Berg
> wrote:
> > On Tue, 2013-04-23 at 23:33 -0400, josef.p...@gmail.com wrote:
> >> On Tue, Apr 23, 2013 at 6:16 PM, Sebastian Berg
> >> wrote:
> >> > On Tue, 2013-04-23 at 12:13 -0500, J
On Wed, Apr 24, 2013 at 4:11 AM, Sebastian Berg
wrote:
> On Tue, 2013-04-23 at 23:33 -0400, josef.p...@gmail.com wrote:
>> On Tue, Apr 23, 2013 at 6:16 PM, Sebastian Berg
>> wrote:
>> > On Tue, 2013-04-23 at 12:13 -0500, Jonathan Helmus wrote:
>> >> Back in December it was pointed out on the
On Tue, 2013-04-23 at 23:33 -0400, josef.p...@gmail.com wrote:
> On Tue, Apr 23, 2013 at 6:16 PM, Sebastian Berg
> wrote:
> > On Tue, 2013-04-23 at 12:13 -0500, Jonathan Helmus wrote:
> >> Back in December it was pointed out on the scipy-user list[1] that
> >> numpy has a percentile function
On Tue, Apr 23, 2013 at 6:16 PM, Sebastian Berg
wrote:
> On Tue, 2013-04-23 at 12:13 -0500, Jonathan Helmus wrote:
>> Back in December it was pointed out on the scipy-user list[1] that
>> numpy has a percentile function which has similar functionality to
>> scipy's stats.scoreatpercentile. I
On Tue, 2013-04-23 at 12:13 -0500, Jonathan Helmus wrote:
> Back in December it was pointed out on the scipy-user list[1] that
> numpy has a percentile function which has similar functionality to
> scipy's stats.scoreatpercentile. I've been trying to harmonize these
> two functions into a
Back in December it was pointed out on the scipy-user list[1] that
numpy has a percentile function which has similar functionality to
scipy's stats.scoreatpercentile. I've been trying to harmonize these
two functions into a single version which has the features of both.
Scipy PR 374[2
