Ian Mallett wrote:
To the second, actually, I need to increment the number of times the
index is there. For example, if b=[1,5,6,6,6,9], then a[6-1] would have
to be incremented by +3 = +1+1+1. I tried simply a[b-1]+=1, but it
seems to only increment values once, even if there are more
Hi,
My array of integers is printed like this by default in numpy:
array([[ 4.7500e+02, 9.5000e+02, -1.e+00],
[ 2.6090e+03, 9.5000e+02, -7.0900e+02]])
Can I set an option so that numpy never uses this scientific notation or
raise the threshold at
How about numpy.set_printoptions(suppress=True)?
See
http://docs.scipy.org/doc/numpy/reference/generated/numpy.set_printoptions.html
.
HTH,
Ian
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Fri, 23 Jul 2010 01:16:41 -0700, Ian Mallett wrote:
[clip]
Because I've never used arrays of Python objects (and Googling didn't
turn up any examples), I'm stuck on how to sort the corresponding array
in NumPy in the same way.
I doubt you will gain any speed by switching from Python lists to
On Friday 23 July 2010 10:16:41 Ian Mallett wrote:
self.patches.sort( lambda x,y:cmp(x.residual_radiance,y.residual_radiance),
reverse=True )
Using sort(key = lambda x: x.residual_radiance) should be faster.
Because I've never used arrays of Python objects (and Googling didn't turn
up any
Hi,
I am pleased to announce the 0.11.0 release of audiolab scikits, the
package to read/write audio file formats into numpy. This release has
barely no changes compared to 0.10.x series, but it finally fixes
annoying windows issues (which ended up being mingw bugs).
Source tarball and python
On 7/22/2010 4:00 PM, Johann Hibschman wrote:
I'm trying to understand numpy.subtract.reduce. The documentation
doesn't seem to match the behavior. The documentation claims
For a one-dimensional array, reduce produces results equivalent to:
r = op.identity
for i in
Fri, 23 Jul 2010 10:29:47 -0400, Alan G Isaac wrote:
[clip]
np.subtract.reduce([])
0.0
Getting a right identity for an empty array is surprising. Matching
Python's behavior (raising a TypeError) seems desirable. (?)
I don't think matching Python's behavior is a sufficient
Hi,I am trying to install Numpy on a Linux cluster running RHEL4. I installed a local copy of Python 2.7 because RHEL4 uses Python 2.3.4 for various internal functionalities. I downloaded the Numpy source code usingsvn co http://svn.scipy.org/svn/numpy/trunk numpyand then I tried to build
Fri, 23 Jul 2010 10:29:47 -0400, Alan G Isaac wrote:
np.subtract.reduce([])
0.0
Getting a right identity for an empty array is surprising. Matching
Python's behavior (raising a TypeError) seems desirable. (?)
On 7/23/2010 10:37 AM, Pauli Virtanen wrote:
I don't
Fri, 23 Jul 2010 11:17:56 -0400, Alan G Isaac wrote:
[clip]
I also do not understand why there would have to be any special cases.
That's a technical issue: e.g. prod() is implemented via
np.multiply.reduce, and it is not clear to me whether it is possible, in
the ufunc machinery, to leave the
Hi folks,
We are (finally) about to begin reviewing and proofing the NumPy
docstrings! This is the final step in producing professional-level
docs for NumPy. What we need now are people willing to review docs.
There are two types of reviewers:
Technical reviewers should be developers or
Hi David others,
On Tue, Jul 20, 2010 at 19:09, David Cournapeau courn...@gmail.com wrote:
On Tue, Jul 20, 2010 at 4:21 PM, Sandro Tosi mo...@debian.org wrote:
Hi David,
On Tue, Jul 20, 2010 at 10:34, David Cournapeau courn...@gmail.com wrote:
yes, I see it at r8510
I quickly adapted the
Report datarray bugs here: http://github.com/fperez/datarray/issues
A datarray is a subclass of a Numpy array that adds the ability to
label the axes and to label the elements along each axis.
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