On 1 May 2013 23:12, Charles R Harris charlesr.har...@gmail.com wrote:
On Wed, May 1, 2013 at 7:10 PM, Benjamin Root ben.r...@ou.edu wrote:
So, to summarize the thread so far:
Consensus:
np.nanmean()
np.nanstd()
np.minmax()
np.argminmax()
Vague Consensus:
np.sincos()
If the
On Thu, 2013-05-02 at 07:03 -0400, Nathaniel Smith wrote:
On 1 May 2013 23:12, Charles R Harris charlesr.har...@gmail.com
wrote:
On Wed, May 1, 2013 at 7:10 PM, Benjamin Root ben.r...@ou.edu
wrote:
So, to summarize the thread so far:
Consensus:
np.nanmean()
np.nanstd()
On Thu, May 2, 2013 at 7:28 AM, Robert Kern robert.k...@gmail.com wrote:
On Thu, May 2, 2013 at 12:03 PM, Nathaniel Smith n...@pobox.com wrote:
On 1 May 2013 23:12, Charles R Harris charlesr.har...@gmail.com
wrote:
On Wed, May 1, 2013 at 7:10 PM, Benjamin Root ben.r...@ou.edu wrote:
On Thu, May 2, 2013 at 2:38 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Thu, May 2, 2013 at 7:28 AM, Robert Kern robert.k...@gmail.com wrote:
On Thu, May 2, 2013 at 12:03 PM, Nathaniel Smith n...@pobox.com wrote:
On 1 May 2013 23:12, Charles R Harris charlesr.har...@gmail.com
On Thu, May 2, 2013 at 7:47 AM, Robert Kern robert.k...@gmail.com wrote:
On Thu, May 2, 2013 at 2:38 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Thu, May 2, 2013 at 7:28 AM, Robert Kern robert.k...@gmail.com
wrote:
On Thu, May 2, 2013 at 12:03 PM, Nathaniel Smith
On Thu, May 2, 2013 at 3:28 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Thu, May 2, 2013 at 7:47 AM, Robert Kern robert.k...@gmail.com wrote:
On Thu, May 2, 2013 at 2:38 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Thu, May 2, 2013 at 7:28 AM, Robert Kern
On Thu, May 2, 2013 at 8:40 AM, Robert Kern robert.k...@gmail.com wrote:
On Thu, May 2, 2013 at 3:28 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Thu, May 2, 2013 at 7:47 AM, Robert Kern robert.k...@gmail.com
wrote:
On Thu, May 2, 2013 at 2:38 PM, Charles R Harris
On Thu, May 2, 2013 at 3:57 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Thu, May 2, 2013 at 8:40 AM, Robert Kern robert.k...@gmail.com wrote:
On Thu, May 2, 2013 at 3:28 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Thu, May 2, 2013 at 7:47 AM, Robert Kern
On Wed, May 1, 2013 at 1:13 AM, Chris Barker - NOAA Federal
chris.bar...@noaa.gov wrote:
Of course, the documentation for discussed before: np.minmax(). My
thinking is that it would return a 2xN array
How about a tuple: (min, max)?
I am not familiar enough with numpy internals to know
On 1 May 2013 03:36, Benjamin Root ben.r...@ou.edu wrote:
Are there any other functions that others feel are missing from numpy and
would like to see for v1.8? Let's discuss them here.
I would like to have sincos, to compute sin and cos of the same number
faster. According to some benchmarks,
On 05/01/2013 04:14 PM, Daπid wrote:
On 1 May 2013 03:36, Benjamin Root ben.r...@ou.edu wrote:
Are there any other functions that others feel are missing from numpy and
would like to see for v1.8? Let's discuss them here.
I would like to have sincos, to compute sin and cos of the same number
The sincos function is in the c standard library in math.h.
On May 1, 2013 7:56 AM, Juan Luis Cano juanlu...@gmail.com wrote:
On 05/01/2013 04:14 PM, Daπid wrote:
On 1 May 2013 03:36, Benjamin Root ben.r...@ou.edu wrote:
Are there any other functions that others feel are missing from numpy
On Wed, May 1, 2013 at 3:36 AM, Benjamin Root ben.r...@ou.edu wrote:
Are there any other functions that others feel are missing from numpy
and would like to see for v1.8? Let's discuss them here.
As I mentioned before, I think numpy should have some equations for dealing
with n-dimensional
On Wed, May 1, 2013 at 4:06 PM, Zachary Ploskey zplos...@gmail.com wrote:
The sincos function is in the c standard library in math.h.
I don't think it's part of the C99 standard. It appears to be provided
in glibc as a non-standard extension. We would have to provide our own
copy, but one is
On 1 May 2013 17:13, Todd toddr...@gmail.com wrote:
Speaking of which, I think there should be a function to construct a complex
array out of two identically-shaped floating-point arrays, as well as
perhaps an np.i class that converts a real array to an imaginary one (using
__mul__ and such).
On Wed, May 1, 2013 at 5:22 PM, Daπid davidmen...@gmail.com wrote:
On 1 May 2013 17:13, Todd toddr...@gmail.com wrote:
Speaking of which, I think there should be a function to construct a
complex
array out of two identically-shaped floating-point arrays, as well as
perhaps an np.i class
On Wed, May 1, 2013 at 4:22 PM, Daπid davidmen...@gmail.com wrote:
On 1 May 2013 17:13, Todd toddr...@gmail.com wrote:
Speaking of which, I think there should be a function to construct a complex
array out of two identically-shaped floating-point arrays, as well as
perhaps an np.i class that
On Wed, May 1, 2013 at 10:14 AM, Daπid davidmen...@gmail.com wrote:
On 1 May 2013 03:36, Benjamin Root ben.r...@ou.edu wrote:
Are there any other functions that others feel are missing from numpy
and
would like to see for v1.8? Let's discuss them here.
I would like to have sincos, to
On Wed, May 1, 2013 at 6:52 AM, Benjamin Root ben.r...@ou.edu wrote:
How about a tuple: (min, max)?
I am not familiar enough with numpy internals to know which is the better
approach to implement. I kind of feel that the 2xN array approach would be
more flexible in case a user wants all
So, to summarize the thread so far:
Consensus:
np.nanmean()
np.nanstd()
np.minmax()
np.argminmax()
Vague Consensus:
np.sincos()
No Consensus (possibly out of scope for this topic):
Better constructors for complex types
I can probably whip up the PR for the nanmean() and nanstd(), and can
On Wed, May 1, 2013 at 7:10 PM, Benjamin Root ben.r...@ou.edu wrote:
So, to summarize the thread so far:
Consensus:
np.nanmean()
np.nanstd()
np.minmax()
np.argminmax()
Vague Consensus:
np.sincos()
If the return of sincos (cossin?) is an array, then it could be reshaped to
be
I have created a PR for the first two (and got np.nanvar() for free).
https://github.com/numpy/numpy/pull/3297
Cheers!
Ben Root
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Currently, I am in the process of migrating some co-workers from Matlab and
IDL, and the number one complaint I get is that numpy has nansum() but no
nanmean() and nanstd(). While we do have an alternative in the form of
masked arrays, most of these people are busy enough trying to port their
On 1 May 2013 03:36, Benjamin Root ben.r...@ou.edu wrote:
There is one other non-trivial function that have been discussed before:
np.minmax(). My thinking is that it would return a 2xN array (where N is
whatever size of the result that would be returned if just np.min() was
used). This
On Apr 30, 2013, at 6:37 PM, Benjamin Root ben.r...@ou.edu wrote:
I can not think of any reason not to include these functions in v1.8.
+1
Of course, the documentation for discussed before: np.minmax(). My thinking
is that it would return a 2xN array
How about a tuple: (min, max)?
-Chris
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