[SciPy-user] Difficulties with gaussian_kde

[David Huard]

Hi,

I'm trying to use gaussian_kde but it returns an error. Here's the code

from scipy.stats import gaussian_kde, norm
x = norm.rvs(10,2,size = 100)
ckde = gaussian_kde(x)
ckde.evaluate(10.)


returning the message :

  File "/usr/lib/python2.4/site-packages/scipy/stats/kde.py", line 91, in
evaluate
    points = atleast_2d(points).astype(self.dataset.typecode())
AttributeError: 'scipy.ndarray' object has no attribute 'typecode'


when trying resample(size = 10), I get

  File "mtrand.pyx", line 837, in mtrand.RandomState.multivariate_normal
AttributeError: 'module' object has no attribute
'singular_value_decomposition'


I'm using a version of scipy obtained from svn last week. Since I'm a newbie
to Python and Scipy, I have the nagging feeling that I am missing something
trivial here. Am I ?

Thanks,

David Huard



If I may suggest, I would add a first line in the docstring of
kde.pydescribing how to call gaussian_kde, something as
""" Uni/multi-variate kernel density estimation.  gaussian_kde(dataset) ->
class object

the rest of the docstring is pretty straighforward but the first step is
taken for granted, and since it returned errors, I had serious doubts as to
how the class had to be called.
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