Le 27/03/2012 18:56, josef.p...@gmail.com a écrit :
similar to std, var, histogram, ... some functions from scipy.stats
are now in numpy.
Ok, historical reasons then. Fair enough.
Would a See also: numpy.percentile make sense in stats.scoreatpercentile ?
However, in contrast to std, var, I
On Wed, Mar 28, 2012 at 5:44 AM, Pierre Haessig
pierre.haes...@crans.org wrote:
Le 27/03/2012 18:56, josef.p...@gmail.com a écrit :
similar to std, var, histogram, ... some functions from scipy.stats
are now in numpy.
Ok, historical reasons then. Fair enough.
Would a See also:
On Sun, Mar 25, 2012 at 6:30 PM, Pierre Haessig
pierre.haes...@crans.org wrote:
Hi,
A quick question I've had in mind for some time but didn't find a solution :
Is there a significant difference between numpy.percentile and
scipy.stats.scoreatpercentile ?
Of course the signatures are
Hi,
A quick question I've had in mind for some time but didn't find a solution :
Is there a significant difference between numpy.percentile and
scipy.stats.scoreatpercentile ?
Of course the signatures are somewhat different, but I have the feeling
that the overall purpose is the same. Am I
