[Numpy-discussion] numpy dot returns [nan nan nan]
Sat Aug 24 12:27:46 CDT 2013
On 8/24/13, Tom Bennett <firstname.lastname@example.org> wrote:
> Hi All,
> I have two arrays, A and B.A is 3 x 100,000 and B is 100,000. If I do
> np.dot(A,B), I get [nan, nan, nan].
> However, np.any(np.isnan(A))==False and np.any(no.isnan(B))==False. And
> also np.seterr(all='print') does not print anything.
> I am not wondering what is going on and how to avoid.
> In case it is important, A and B are from the normal equation of doing
> regression. I am regressing 100,000 observations on 3 100,000 long factors.
What are the data types of the arrays, and what are the typical sizes
of the values in these arrays? I can get all nans from np.dot if the
values are huge floating point values:
In : x = 1e160*np.random.randn(3, 10)
In : y = 1e160*np.random.randn(10)
In : np.dot(x, y)
Out: array([ nan, nan, nan])
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