Hi everyone,
I was looking at a way to have discrete distribution.
From the doc there is no discrete distribution (or I missed it) so I wanted to
use scipy’s distributions
and wrap them with ot.SciPyDistribution. But with randint I got this issue :
>>> ot.SciPyDistribution(randint)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File
"/Users/roy/Applications/miniconda3/envs/batman3/lib/python3.6/site-packages/openturns/model_copula.py",
line 3047, in __init__
raise TypeError('Argument is not a scipy distribution')
TypeError: Argument is not a scipy distribution
I tried commenting the raise and it seems to work as I expected. But I suppose
the raise is here for a reason.
Until then I am using this:
from scipy.stats import randint
import openturns as ot
rv = randint(10, 20)
points = ot.Sample(10000, 1)
for i in range(10000):
points[i] = (rv.rvs(),)
disc_dist = ot.UserDefined(points)
Thanks.
Sincerely,
Pamphile ROY
Chercheur doctorant en Quantification d’Incertitudes
CERFACS - Toulouse (31) - France
+33 (0) 5 61 19 31 57
+33 (0) 7 86 43 24 22
_______________________________________________
OpenTURNS users mailing list
[email protected]
http://openturns.org/mailman/listinfo/users
