> 2009/7/23 Pierre GM :
>
> On Jul 23, 2009, at 6:07 AM, Scott Sinclair wrote:
>
>>> 2009/7/22 Pierre GM :
>>> You could try scipy.stats.scoreatpercentile,
>>> scipy.stats.mstats.plottingposition or scipy.stats.mstats.mquantiles,
>>> which will all approximate quantiles of your distribution.
>>
>>
On Jul 23, 2009, at 6:07 AM, Scott Sinclair wrote:
>> 2009/7/22 Pierre GM :
>> You could try scipy.stats.scoreatpercentile,
>> scipy.stats.mstats.plottingposition or scipy.stats.mstats.mquantiles,
>> which will all approximate quantiles of your distribution.
>
> It seems that mquantiles doesn't d
> 2009/7/22 Pierre GM :
> You could try scipy.stats.scoreatpercentile,
> scipy.stats.mstats.plottingposition or scipy.stats.mstats.mquantiles,
> which will all approximate quantiles of your distribution.
It seems that mquantiles doesn't do what you'd expect when the limit
keyword argument is speci
I am afraid I misunderstand your question
because I do not get the results you expected.
def pdyn(a, p):
a = np.sort(a)
n = round((1-p) * len(a))
return a[int((n+1)/2)], a[len(a)-1-int(n/2)] # a[-int(n/2)] would not work
if n<=1
>>> pdyn([0, 0, 0, 0, 1, 2, 3, 4, 5, 2000], 1)
(0, 2000
On Jul 22, 2009, at 12:36 PM, Johannes Bauer wrote:
> Hello list,
>
> is there some possibilty to get a p-dynamic of an array, i.e. if p=1
> then the result would be (arr.min(), arr.max()), but if 0 < p < 1,
> then
> the result is so that the pth percentile of the picture is withing the
> range
You can do it "by hand" by sorting the array and taking the
corresponding elements or you can use
scipy.stats.scoreatpercentile
that also interpolates.
Best,
Luca
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Hello list,
is there some possibilty to get a p-dynamic of an array, i.e. if p=1
then the result would be (arr.min(), arr.max()), but if 0 < p < 1, then
the result is so that the pth percentile of the picture is withing the
range given?
I cannot explain this very well, so please let me illustrate
