I don't work with complex numbers, but just sampling what others do:
Python: no ordering, results in TypeError
Matlab: sorts by magnitude
http://www.mathworks.com/help/matlab/ref/sort.html
R: sorts first by real, then by imaginary
I made a PR request about supplying a git hooks framework at
https://github.com/numpy/numpy/pull/200. I asked for it to be closed
because I couldn't easily figure our how to handle x-platform issues.
If you have an answer, what I was working on might be a start. But
your script is an example of
I am trying to take the rfft of a numpy array, like this:
my_rfft = numpy.fft.rfft(my_numpy_array)
and replace the amplitudes that can be obtained with:
my_amplitudes = numpy.abs(my_rfft)
with amplitudes from an arbitrary numpy array's rFFT, which is to then be
converted back using
I have done this before, but am now really confused.
Created an array 'day' specifying the 'f' type
In [29]: day
Out[29]: array([ 5., 5.], dtype=float32)
# Have a mask...
In [30]: mask
Out[30]: array([ True, False], dtype=bool)
# So far, so good...
In [31]: day[mask]
Out[31]: array([ 5.],
25, 2013 at 8:44 PM, Eric Firing efir...@hawaii.edu wrote:
On 2013/08/25 2:30 PM, Cera, Tim wrote:
I have done this before, but am now really confused.
Created an array 'day' specifying the 'f' type
In [29]: day
Out[29]: array([ 5., 5.], dtype=float32)
# Have a mask...
In [30]: mask
Out
Pardon the noise. The behavior is described right there in the
documentation of broadcast_arrays.
Kindest regards,
Tim
On Sun, Aug 25, 2013 at 8:53 PM, Cera, Tim t...@cerazone.net wrote:
Figured it out. I created 'day' as a broadcast array. Does this
catch other people? Basically changing
On Mon, Aug 19, 2013 at 2:37 AM, Juan Luis Cano juanlu...@gmail.com wrote:
As now master is open for 1.9, following the discussion opened here
https://github.com/numpy/numpy/issues/2880
it was suggested that we deprecate and eventually remove the financial
functions in NumPy, because they
On Wed, Oct 24, 2012 at 4:47 AM, Robert Kern robert.k...@gmail.com wrote:
How about this?
def nancumsum(x):
nans = np.isnan(x)
x = np.array(x)
x[nans] = 0
reset_idx = np.zeros(len(x), dtype=int)
reset_idx[nans] = np.arange(len(x))[nans]
reset_idx =
I have an array that is peppered throughout in random spots with 'nan'. I
would like to use 'cumsum', but I want it to reset the accumulation to 0
whenever a 'nan' is encountered. Is there a way to do this? Aside from a
loop - which is what I am going to setup here in a moment.
Kindest
On Sun, Oct 14, 2012 at 8:24 PM, Zachary Pincus zachary.pin...@yale.eduwrote:
It would be useful for the author of the PR to post a detailed comparison
of this functionality with scipy.ndimage.generic_filter, which appears to
have very similar functionality.
I'll be durned. I created
For the neighbor module, the neighborhood is input specified by the
'weight' array. All values in the neighborhood are processed by a function.
In the geosciences, ArcGIS is a very important tool and the neighbor module
is very loosely modeled after
If you followed the link
http://webhelp.esri.com/arcgisdesktop/9.2/index.cfm?TopicName=An%20overview%20of%20the%20Neighborhood%20tools
note
that the current neighborhood implementation that we are talking about
implements the ArcGIS 'Focal*' functionality, not the 'Block*' ones. Note
also that
On Wed, Oct 10, 2012 at 1:58 AM, Travis E. Oliphant
notificati...@github.com wrote:
I'm not sure what to make of no comments on this PR. This seems like a
useful addition. @timcera https://github.com/timcera are you still
interested in having this PR merged?
Yes.
I mentioned in PR comments
I have a pull request for a neighborhood function at
https://github.com/numpy/numpy/pull/303 . I think IMHO it handles these
problems quite handily. It does rely on my pad routine that is in Numpy
1.7, so you would need to get the 1.7 beta installed or install the
development branch.
For your
For documentation we have docstrings for each function and tutorial-style
docs (http://docs.scipy.org/doc/numpy/user/,
http://scipy-lectures.github.com/intro/numpy/index.html) . All docstrings
should have clear usage examples, but I'm actually finding it quite hard to
find functions that
Similar to http://scicomp.stackexchange.com there is
http://meta.programmers.stackexchange.com/ intended for programmers. Darn
it, there are choices involved!
I had proposed http://meta.programmers.stackexchange.com/ on this mailing
list earlier and no-one seemed interested, but maybe now the
You are correct, I meant http://programmers.stackexchange.com/
And on a site like stackexchange I could actually edit my post instead of
my mistake being permanent. :-)
Kindest regards,
Tim
___
NumPy-Discussion mailing list
A little more research shows that we could have a
http://numpy.stackexchange.com. The requirements are just to have people
involved. See http://area51.stackexchange.com/faq for more info.
Kindest regards,
Tim
___
NumPy-Discussion mailing list
That is really funny. Looking through the posts, there wasn't any spam
(could have been deleted), but it wasn't used as much as I would think.
Have to attract people who answer questions. Early on the registration
seemed to be a problem.
Solace, the software behind ask.scipy.org looks pretty
19 matches
Mail list logo
