Julian Taylor googlemail.com> writes:
> What platform are you using?
> whether you get exceptions or not depends on your math library.
>
Windows 7.
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I would have thought that this snippet would raise an exception:
import numpy
numpy.seterr(all='raise')
a = numpy.array([1.0,0.0,-1.0])
b = numpy.log(a)
I get as a result (in b): [0, -Inf, NaN]
It's basically the same issue as:
http://numpy-discussion.10968.n7.nabble.com/numpy-log-does-not-rai
which is what I already had done, but the inconsistent
behavior across versions and platforms made me think it was a bug).
Thanks again for the clear explanation of what is going on.
On Sat, Jun 30, 2012 at 6:33 PM, Daniel Hyams wrote:
> Hmmm, I wouldn't think that it is correct behav
g to resize the array, which you
cannot do if the data is not really owned by that array...I had explicit
check for myarray.base==None, which it is not when I get the ndarray from a
pickle.
--
Daniel Hyams
dhy...@gmail.com
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#import pickle
dset = numpy.ones((2,2))
print "BEFORE PICKLING"
print dset
print "base = ",dset.base
print dset.flags
# pickle.
s = pickle.dumps(dset)
# now unpickle.
dset = pickle.loads(s)
print "AFTER PICKLING AND THEN IMMEDIATELY UNPICKLING"
print dset
print &quo
This is probably so easy, I'm embarrassed to ask it...but I've been casting
around trying things to no avail for the last hour and a half, so here
goes...
I have a lot of dot products to take. The length-3 vectors that I want to
dot are stacked in a 2D array like this:
U = [u1 u2 u3]
and
V
