Stefan,
Thanks for your suggestions, but that won't do for what I'm working on : I
need to get putmask working, or at least knowing it doesnt'.
Robert, thanks for your input. The function putmask doesn't work either.
Oh, thinking about it: would it be possible to have the same order of
arguments
Folks,
I'm running into the following problem with putmask on take.
>>> import numpy
>>> x = N.arange(12.)
>>> m = [1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1]
>>> i = N.nonzero(m)[0]
>>> w = N.array([-1, -2, -3, -4.])
>>> x.putmask(w,m)
>>> x.take(i)
>>> N.allclose(x.take(i),w)
False
I'm wondering if
Folks,
I was playing around the numpy.fftpack when I ran into the problem below:
it seems that axis=None is not valid with fft. Is there a reason for that ? I
was assuming a behavior similar to other functions, where axis=None
translates to "use a flat array".
---
Folks,
I need to compute some cross-correlations between time series, and I naturally
started to use numpy.correlate. Howver, I'm not sure about the convention
being used:
The crosscorrelation is usually defined as
$\gamma_{xy}[k] = \sum_{i}{x[i] y[i+k]}$
So, when I compute
>>> numpy.dot(x[:-1]
Travis,
> This bug has hopefully been fixed (in SVN).Please let us know if it
> still persists.
It seems to work quite fine with the latest version of ma.
Thanks a lot !
P.
-
Using Tomcat but need to do more? Need to supp
Folks,
I keep running into the following problem since some recent update (I'm
currently running 1.0b3, but the problem occurred roughly around 0.9.8):
>>> import numpy.core.ma as MA
>>> x=MA.array([[1],[2]],mask=False)
>>> x.sum(None)
/usr/lib64/python2.4/site-packages/numpy/core/ma.py in reduc
Folks ,
I'm still using numpy 0.9.8 and just ran into this problem on my machine
(AMD64):
>>> import numpy as N
>>> x = N.array([1.23456])
>>> print divmod(x,1)
(array([ 1.]), array([ 0.23456]))
>>> print divmod(x[0],1)
()
>>> print divmod(x.tolist()[0],1)
(1.0, 0.23456001)
divmod doesn'
