On Tue, Jul 10, 2012 at 3:37 AM, Robert Kern robert.k...@gmail.com wrote:
On Tue, Jul 10, 2012 at 4:32 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
Hi All,
I've been adding type specific sorts for object and structured arrays. It
seems that datetime64 and timedelta64 are also
On Tue, Jul 10, 2012 at 6:07 AM, Ralf Gommers
ralf.gomm...@googlemail.comwrote:
On Tue, Jul 10, 2012 at 11:36 AM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
On Tue, Jul 10, 2012 at 4:20 AM, Six Silberman
silberman@gmail.comwrote:
Hi all,
Some colleagues and I are
On Tue, Jul 10, 2012 at 2:45 PM, Prakash Joshi pjo...@numenta.com wrote:
Hi All,
I built numpy 1.6.2 on linux 64 bit and installed numpy in
site-packages, It pass all the test cases of numpy, but I am not sure if
this is good build; As I did not specified any fortran compiler while
Prakash,
On Tue, Jul 10, 2012 at 3:26 PM, Prakash Joshi pjo...@numenta.com wrote:
Thanks Ben.
Also I did not specified any of BLAS, LAPACK, ATLAS libraries, do we
need these libraries for numpy?
Need, no, you do not need them in the sense that NumPy does not require
them to work. NumPy
On Thursday, July 12, 2012, Thouis (Ray) Jones wrote:
On Thu, Jul 12, 2012 at 1:28 AM, Charles R Harris
charlesr.har...@gmail.com javascript:; wrote:
Hi All,
Travis and I agree that it would be appropriate to remove the current
1.7.x
branch and branch again after a code freeze. That
On Thursday, July 12, 2012, Nathaniel Smith wrote:
On Thu, Jul 12, 2012 at 12:48 PM, Benjamin Root
ben.r...@ou.edujavascript:;
wrote:
On Thursday, July 12, 2012, Thouis (Ray) Jones wrote:
On Thu, Jul 12, 2012 at 1:28 AM, Charles R Harris
charlesr.har...@gmail.com javascript
On Thu, Jul 12, 2012 at 3:38 PM, Chao YUE chaoyue...@gmail.com wrote:
Dear all,
I want to create a function and I would like one of the arguments of the
function to determine what slicing of numpy array I want to use.
a simple example:
a=np.arange(100).reshape(10,10)
suppose I want to
Root
2012/7/12 Benjamin Root ben.r...@ou.edu
On Thu, Jul 12, 2012 at 3:38 PM, Chao YUE chaoyue...@gmail.com wrote:
Dear all,
I want to create a function and I would like one of the arguments of the
function to determine what slicing of numpy array I want to use.
a simple example
On Thursday, July 12, 2012, Chao YUE wrote:
Thanks all for the discussion. Actually I am trying to use something like
numpy ndarray indexing in the function. Like when I call:
func(a,'1:3,:,2:4'), it knows I want to retrieve a[1:3,:,2:4], and
func(a,'1:3,:,4') for a[1:3,:,4] ect.
I am very
On Monday, July 23, 2012, OC wrote:
It's unPythonic just in the sense that it is unlike every other type
constructor in Python. int(x) returns an int, list(x) returns a list,
but np.complex64(x) sometimes returns a np.complex64, and sometimes it
returns a np.ndarray, depending on what
On Thu, Jul 26, 2012 at 4:45 PM, Colin J. Williams fn...@ncf.ca wrote:
It seems that these standards have been adopted, which is good:
The following import conventions are used throughout the NumPy source and
documentation:
import numpy as np
import matplotlib as mpl
import
On Thu, Jul 26, 2012 at 7:12 PM, Robert Kern robert.k...@gmail.com wrote:
On Fri, Jul 27, 2012 at 12:05 AM, Colin J. Williams
cjwilliam...@gmail.com wrote:
On 26/07/2012 4:57 PM, Benjamin Root wrote:
On Thu, Jul 26, 2012 at 4:45 PM, Colin J. Williams fn...@ncf.ca wrote:
It seems
On Thu, Jul 26, 2012 at 2:33 PM, Phil Hodge ho...@stsci.edu wrote:
On a Linux machine:
uname -srvop
Linux 2.6.18-308.8.2.el5 #1 SMP Tue May 29 11:54:17 EDT 2012 x86_64
GNU/Linux
this example shows an apparent problem with the where function:
Python 2.7.1 (r271:86832, Dec 21 2010,
On Fri, Jul 27, 2012 at 3:58 PM, Andreas Mueller
amuel...@ais.uni-bonn.dewrote:
Hi Everybody.
The bug is that no error is raised, right?
The docs say
where(condition, [x, y])
x, y : array_like, optional
Values from which to choose. `x` and `y` need to have the same
shape as
On Tue, Aug 21, 2012 at 12:24 PM, Ondřej Čertík ondrej.cer...@gmail.comwrote:
Hi,
I'm pleased to announce the availability of the first beta release of
NumPy 1.7.0b1.
Sources and binary installers can be found at
https://sourceforge.net/projects/numpy/files/NumPy/1.7.0b1/
Please test
On Thursday, August 30, 2012, Neal Becker wrote:
I think this should be simple, but I'm drawing a blank
I have 2 2d matrixes
Matrix A has indexes (i, symbol)
Matrix B has indexes (state, symbol)
I combined them into a 3d matrix:
C = A[:,newaxis,:] + B[newaxis,:,:]
where C has indexes
An issue just reported on the matplotlib-users list involved a user who ran
out of memory while attempting to do an imshow() on a large array. While
this wouldn't be totally unexpected, the user's traceback shows that they
ran out of memory before any actual building of the image occurred.
Consider the following code:
import numpy as np
a = np.array([1, 2, 3, 4, 5], dtype=np.int16)
a *= float(255) / 15
In v1.6.x, this yields:
array([17, 34, 51, 68, 85], dtype=int16)
But in master, this throws an exception about failing to cast via same_kind.
Note that numpy was smart about this
On Mon, Sep 17, 2012 at 9:33 PM, Charles R Harris charlesr.har...@gmail.com
wrote:
On Mon, Sep 17, 2012 at 3:40 PM, Travis Oliphant tra...@continuum.iowrote:
On Sep 17, 2012, at 8:42 AM, Benjamin Root wrote:
Consider the following code:
import numpy as np
a = np.array([1, 2, 3, 4
On Fri, Sep 7, 2012 at 12:05 PM, Nathaniel Smith n...@pobox.com wrote:
On 7 Sep 2012 14:38, Benjamin Root ben.r...@ou.edu wrote:
An issue just reported on the matplotlib-users list involved a user who
ran out of memory while attempting to do an imshow() on a large array.
While
On Tue, Sep 18, 2012 at 3:19 PM, Ralf Gommers ralf.gomm...@gmail.comwrote:
On Tue, Sep 18, 2012 at 9:13 PM, Benjamin Root ben.r...@ou.edu wrote:
On Tue, Sep 18, 2012 at 2:47 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Tue, Sep 18, 2012 at 11:39 AM, Benjamin Root ben.r
On Tue, Sep 18, 2012 at 3:25 PM, Charles R Harris charlesr.har...@gmail.com
wrote:
On Tue, Sep 18, 2012 at 1:13 PM, Benjamin Root ben.r...@ou.edu wrote:
On Tue, Sep 18, 2012 at 2:47 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Tue, Sep 18, 2012 at 11:39 AM, Benjamin Root
On Tue, Sep 18, 2012 at 4:42 PM, Charles R Harris charlesr.har...@gmail.com
wrote:
On Tue, Sep 18, 2012 at 2:33 PM, Travis Oliphant tra...@continuum.iowrote:
On Sep 18, 2012, at 2:44 PM, Charles R Harris wrote:
On Tue, Sep 18, 2012 at 1:35 PM, Benjamin Root ben.r...@ou.edu wrote
On Fri, Sep 21, 2012 at 4:19 PM, Travis Oliphant tra...@continuum.iowrote:
On Sep 21, 2012, at 3:13 PM, Ralf Gommers wrote:
Hi,
An issue I keep running into is that packages use:
install_requires = [numpy]
or
install_requires = ['numpy = 1.6']
in their setup.py. This simply
On Wed, Oct 24, 2012 at 3:00 PM, Michael Aye kmichael@gmail.com wrote:
As numpy.fromfile seems to require full file object functionalities
like seek, I can not use it with the sys.stdin pipe.
So how could I stream a binary pipe directly into numpy?
I can imagine storing the data in a
This error started showing up in the test suite for mpl when using numpy
master.
AttributeError: incompatible shape for a non-contiguous array
The tracebacks all point back to various code points where we are trying to
set the shape of an array, e.g.,
offsets.shape = (-1, 2)
Those lines
On Mon, Oct 29, 2012 at 10:33 AM, Sebastian Berg sebast...@sipsolutions.net
wrote:
Hey,
On Mon, 2012-10-29 at 09:54 -0400, Benjamin Root wrote:
This error started showing up in the test suite for mpl when using
numpy master.
AttributeError: incompatible shape for a non-contiguous
. Candidate / Liaison to the HWT
School of Meteorology / University of Oklahoma
Cooperative Institute for Mesoscale Meteorological Studies
National Severe Storms Laboratory
http://www.patricktmarsh.com
On Mon, Oct 29, 2012 at 9:43 AM, Benjamin Root ben.r...@ou.edu wrote:
On Mon, Oct 29
On Wednesday, October 31, 2012, wrote:
On Wed, Oct 31, 2012 at 8:59 PM, klo uo klo...@gmail.com javascript:;
wrote:
Thanks for your reply
I suppose, variable length signals are split on equal parts and dominant
harmonic is extracted. Then scatter plot shows this pattern, which has
some
On Monday, November 12, 2012, Olivier Delalleau wrote:
2012/11/12 Nathaniel Smith n...@pobox.com javascript:_e({}, 'cvml',
'n...@pobox.com');
On Mon, Nov 12, 2012 at 8:54 PM, Matthew Brett
matthew.br...@gmail.comjavascript:_e({}, 'cvml',
'matthew.br...@gmail.com');
wrote:
Hi,
I
On Monday, November 12, 2012, Benjamin Root wrote:
On Monday, November 12, 2012, Olivier Delalleau wrote:
2012/11/12 Nathaniel Smith n...@pobox.com
On Mon, Nov 12, 2012 at 8:54 PM, Matthew Brett matthew.br...@gmail.com
wrote:
Hi,
I wanted to check that everyone knows about
On Monday, November 12, 2012, Matthew Brett wrote:
Hi,
On Mon, Nov 12, 2012 at 8:15 PM, Benjamin Root ben.r...@ou.edu wrote:
On Monday, November 12, 2012, Olivier Delalleau wrote:
2012/11/12 Nathaniel Smith n...@pobox.com
On Mon, Nov 12, 2012 at 8:54 PM, Matthew Brett
On Saturday, November 17, 2012, Chao YUE wrote:
Dear all,
I need to make a linear contrast of the 2D numpy array data from an
interval to another, the approach is:
I have another two list: base target, then I check for each ndarray
element data[i,j],
if base[m] = data[i,j] = base[m+1],
On Saturday, November 17, 2012, Charles R Harris wrote:
On Sat, Nov 17, 2012 at 1:00 PM, Olivier Delalleau
sh...@keba.bejavascript:_e({}, 'cvml', 'sh...@keba.be');
wrote:
2012/11/17 Gökhan Sever gokhanse...@gmail.com javascript:_e({},
'cvml', 'gokhanse...@gmail.com');
On Sat, Nov
On Tue, Dec 4, 2012 at 8:57 AM, Sebastian Berg
sebast...@sipsolutions.netwrote:
Hey,
Maybe someone has an opinion about this (since in fact it is new
behavior, so it is undefined). `np.take` used to not allow 0-d/scalar
input but did allow any other dimensions for the indices. Thinking about
As a point of reference, python 2.4 is on RH5/CentOS5. While RH6 is the
current version, there are still enterprises that are using version 5. Of
course, at this point, one really should be working on a migration plan and
shouldn't be doing new development on those machines...
Ben Root
On Thu, Dec 13, 2012 at 12:38 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
The previous proposal to drop python 2.4 support garnered no opposition.
How about dropping support for python 2.5 also?
Chuck
matplotlib 1.2 supports py2.5. I haven't seen any plan to move off of that
for
My apologies... we support 2.6 and above. +1 on dropping 2.5 support.
Ben
On Thu, Dec 13, 2012 at 1:12 PM, Benjamin Root ben.r...@ou.edu wrote:
On Thu, Dec 13, 2012 at 12:38 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
The previous proposal to drop python 2.4 support garnered
On Wed, Jan 9, 2013 at 9:58 AM, Nathaniel Smith n...@pobox.com wrote:
On Wed, Jan 9, 2013 at 2:53 PM, Alan G Isaac alan.is...@gmail.com wrote:
I'm just a Python+NumPy user and not a CS type.
May I ask a naive question on this thread?
Given the work that has (as I understand it) gone into
On Mon, Jan 14, 2013 at 7:38 AM, Pierre Haessig pierre.haes...@crans.orgwrote:
Hi,
Le 14/01/2013 00:39, Nathaniel Smith a écrit :
(The nice thing about np.filled() is that it makes np.zeros() and
np.ones() feel like clutter, rather than the reverse... not that I'm
suggesting ever getting
On Mon, Jan 14, 2013 at 12:27 PM, Eric Firing efir...@hawaii.edu wrote:
On 2013/01/14 6:15 AM, Olivier Delalleau wrote:
- I agree the name collision with np.ma.filled is a problem. I have no
better suggestion though at this point.
How about initialized()?
A verb! +1 from me!
For those
On Mon, Jan 14, 2013 at 1:56 PM, David Warde-Farley
d.warde.far...@gmail.com wrote:
On Mon, Jan 14, 2013 at 1:12 PM, Pierre Haessig
pierre.haes...@crans.org wrote:
In [8]: tile(nan, (3,3)) # (it's a verb ! )
tile, in my opinion, is useful in some cases (for people who think in
terms of
On Thu, Jan 17, 2013 at 8:54 AM, Jim Vickroy jim.vick...@noaa.gov wrote:
On 1/16/2013 11:41 PM, Nathaniel Smith wrote:
On 16 Jan 2013 17:54, josef.p...@gmail.com wrote:
a = np.random.random_integers(0, 5, size=5)
b = a.sort()
b
a
array([0, 1, 2, 5, 5])
b =
On Thu, Jan 17, 2013 at 5:04 PM, Eric Firing efir...@hawaii.edu wrote:
On 2013/01/17 4:13 AM, Pierre Haessig wrote:
Hi,
Le 14/01/2013 20:05, Benjamin Root a écrit :
I do like the way you are thinking in terms of the broadcasting
semantics, but I wonder if that is a bit awkward. What I
On Fri, Jan 18, 2013 at 3:44 AM, Daniele Nicolodi dani...@grinta.netwrote:
On 17/01/2013 23:27, Mark Wiebe wrote:
Would it be too weird or clumsy to extend the empty and empty_like
functions to do the filling?
np.empty((10, 10), fill=np.nan)
np.empty_like(my_arr, fill=np.nan)
On Fri, Jan 18, 2013 at 11:36 AM, Daniele Nicolodi dani...@grinta.netwrote:
On 18/01/2013 15:19, Benjamin Root wrote:
On Fri, Jan 18, 2013 at 3:44 AM, Daniele Nicolodi dani...@grinta.net
mailto:dani...@grinta.net wrote:
On 17/01/2013 23:27, Mark Wiebe wrote:
Would
On Tue, Jan 29, 2013 at 6:16 AM, denis denis-bz...@t-online.de wrote:
Folks,
the doc for `where` says x and y need to have the same shape as
condition
http://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.where.html
But surely
where is equivalent to:
[xv if c else yv for
On Wed, Feb 6, 2013 at 4:18 AM, Dag Sverre Seljebotn
d.s.seljeb...@astro.uio.no wrote:
On 02/06/2013 08:41 AM, Charles R Harris wrote:
On Tue, Feb 5, 2013 at 11:50 PM, Jason Grout
jason-s...@creativetrax.com mailto:jason-s...@creativetrax.com
wrote:
On 2/6/13 12:46 AM, Charles
On Tue, Feb 5, 2013 at 4:23 PM, Charles R Harris
charlesr.har...@gmail.comwrote:
Hi All,
This post is to bring the discussion of PR
#2965https://github.com/numpy/numpy/pull/2965to the attention of the list.
There are at least three issues in play here.
1) The PR adds modes 'big' and
On Wed, Feb 6, 2013 at 1:08 PM, josef.p...@gmail.com wrote:
I'm convinced that I saw a while ago a function that uses a list of
interval boundaries to index into an array, either to iterate or to
take.
I thought that's very useful, but didn't make a note.
Now, I have no idea where I saw
On Tue, Feb 19, 2013 at 10:00 AM, Tony Ladd tl...@che.ufl.edu wrote:
I want to accumulate elements of a vector (x) to an array (f) based on
an index list (ind).
For example:
x=[1,2,3,4,5,6]
ind=[1,3,9,3,4,1]
f=np.zeros(10)
What I want would be produced by the loop
for i=range(6):
On Sat, Feb 23, 2013 at 8:20 PM, josef.p...@gmail.com wrote:
On Sat, Feb 23, 2013 at 3:33 PM, Robert Kern robert.k...@gmail.com
wrote:
On Sat, Feb 23, 2013 at 7:25 PM, Nathaniel Smith n...@pobox.com wrote:
On Sat, Feb 23, 2013 at 3:38 PM, Till Stensitzki mail.t...@gmx.de
wrote:
Hello,
On Sun, Feb 24, 2013 at 8:16 PM, Ondřej Čertík ondrej.cer...@gmail.comwrote:
Hi Gelin,
On Sun, Feb 24, 2013 at 12:08 AM, Gelin Yan dynami...@gmail.com wrote:
Hi All
When I used numpy 1.7.0 with cx_freeze 4.3.1 on windows, I quickly
found out even a simple import numpy may lead to
On Sat, Mar 2, 2013 at 11:35 PM, Sudheer Joseph sudheer.jos...@yahoo.comwrote:
Hi Brad,
I am not getting the attribute reshape for the array, are
you having a different version of numpy than mine?
I have
In [55]: np.__version__
Out[55]: '1.7.0'
and detail of the shape
On Tue, Mar 5, 2013 at 9:15 AM, Phil Elson pelson@gmail.com wrote:
The ticket https://github.com/numpy/numpy/issues/2269 discusses the
possibility of implementing a find first style function which can
optimise the process of finding the first value(s) which match a predicate
in a given 1D
On Sat, Mar 2, 2013 at 5:32 PM, Scott Collis scollis.a...@gmail.com wrote:
Good afternoon list,
I am looking at feature tracking in a 2D numpy array, along the lines of
Dixon and Wiener 1993 (for tracking precipitating storms)
Identifying features based on threshold is quite trivial using
On Wed, Apr 3, 2013 at 7:52 PM, Chris Barker - NOAA Federal
chris.bar...@noaa.gov wrote:
Personally, I never need finer resolution than seconds, nor more than
a century, so it's no big deal to me, but just wondering
A use case for finer resolution than seconds (in our field, no less!)
On Tue, Apr 16, 2013 at 7:45 PM, Ondřej Čertík ondrej.cer...@gmail.comwrote:
On Tue, Apr 16, 2013 at 4:55 PM, Bob Nnamtrop bob.nnamt...@gmail.com
wrote:
I am curious if others have noticed an issue with datetime64 at the
beginning of 1970. First:
In [144]: (np.datetime64('1970-01-01') -
On Wed, Apr 17, 2013 at 7:10 PM, Chris Barker - NOAA Federal
chris.bar...@noaa.gov wrote:
On Wed, Apr 17, 2013 at 1:09 PM, Bob Nnamtrop bob.nnamt...@gmail.com
wrote:
It would seem that before 1970 the dates do not include the time zone
adjustment while after 1970 they do. This is the
On Thu, Apr 18, 2013 at 2:27 AM, Joris Van den Bossche
jorisvandenboss...@gmail.com wrote:
ANyone tested this on Windows?
On Windows 7, numpy 1.7.0 (Anaconda 1.4.0 64 bit), I don't even get a
wrong answer, but an error:
In [3]: np.datetime64('1969-12-31 00')
Out[3]:
On Thu, Apr 18, 2013 at 7:31 PM, K.-Michael Aye kmichael@gmail.comwrote:
I don't understand why sometimes a direct assignment of a new dtype is
possible (but messes up the values), and why at other times a seemingly
harmless upcast (in my potentially ignorant point of view) is not
On Thu, Apr 25, 2013 at 11:16 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
Hi All,
I think it is time to start the runup to the 1.8 release. I don't know of
any outstanding blockers but if anyone has a PR/issue that they feel needs
to be in the next Numpy release now is the time to
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 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 Mon, Apr 29, 2013 at 2:10 PM, Andrew Giessel
andrew_gies...@hms.harvard.edu wrote:
Matthew: Thanks for the link to array order discussion.
Any more thoughts on Phil's slice() function?
I rather like Phil's solution. Just some caveats. Will it always return
views or copies? It should
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
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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On Thu, May 16, 2013 at 6:09 PM, Phillip Feldman
phillip.m.feld...@gmail.com wrote:
It seems odd that `nanmin` and `nanmax` are in NumPy, while `nanmean` is
in SciPy.stats. I'd like to propose that a `nanmean` function be added to
NumPy.
Have no fear. There is already plans for its
On Sat, May 25, 2013 at 12:37 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Sat, May 25, 2013 at 9:51 AM, David Cournapeau courn...@gmail.comwrote:
On Sat, May 25, 2013 at 4:19 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Sat, May 25, 2013 at 8:23 AM, David
On Fri, May 31, 2013 at 5:08 PM, Albert Kottke albert.kot...@gmail.comwrote:
I noticed that genfromtxt() did not skip comments if the keyword names is
not True. If names is True, then genfromtxt() would take the first line as
the names. I am proposing a fix to genfromtxt that skips all of the
Could non-monotonicity be detected as part of the interp process? Perhaps a
sign switch in the deltas?
I have been bitten by this problem too.
Cheers!
Ben Root
On Jun 4, 2013 9:08 PM, Eric Firing efir...@hawaii.edu wrote:
On 2013/06/04 2:05 PM, Charles R Harris wrote:
On Tue, Jun 4,
You can treat a record in a record array like a tuple or a dictionary when
it comes to formatting. So, either refer to the index element you want
formatted as a float, or refer to it by name (in the formatting language).
By just doing {:f}, you are just grabbing the first one, which is XXYYZZ
and
On Thu, Jun 13, 2013 at 9:36 AM, Aldcroft, Thomas
aldcr...@head.cfa.harvard.edu wrote:
On Wed, Jun 12, 2013 at 2:55 PM, Eric Firing efir...@hawaii.edu wrote:
On 2013/06/12 8:13 AM, Warren Weckesser wrote:
That's why I suggested 'filledwith' (add the underscore if you like).
This also
On Fri, Jun 14, 2013 at 1:21 PM, Robert Kern robert.k...@gmail.com wrote:
On Fri, Jun 14, 2013 at 6:18 PM, Eric Firing efir...@hawaii.edu wrote:
On 2013/06/14 5:15 AM, Alan G Isaac wrote:
On 6/14/2013 9:27 AM, Aldcroft, Thomas wrote:
If I just saw np.values(..) in some code I would never
On Fri, Jun 14, 2013 at 1:22 PM, Nathaniel Smith n...@pobox.com wrote:
On Wed, Jun 12, 2013 at 7:43 PM, Eric Firing efir...@hawaii.edu wrote:
On 2013/06/12 2:10 AM, Nathaniel Smith wrote:
Personally I think that overloading np.empty is horribly ugly, will
continue confusing newbies and
On Fri, Jun 14, 2013 at 6:38 PM, Eric Firing efir...@hawaii.edu wrote:
A nice summary of the discussions from a year ago is here:
http://www.numpy.org/NA-overview.html
It provides food for thought.
Eric
Perhaps a BoF session should be put together for SciPy 2013, and possibly
even have a
I can see where you are getting at, but I would have to disagree. First of
all, when a comparison between two mis-shaped arrays occur, you get back a
bone fide python boolean, not a numpy array of bools. So if any action was
taken on the result of such a comparison assumed that the result was
This is going to need to be heavily documented with doctests. Also, just to
clarify, are we talking about a ValueError for doing a nansum on an empty
array as well, or will that now return a zero?
Ben Root
On Mon, Jul 15, 2013 at 9:52 AM, Charles R Harris charlesr.har...@gmail.com
wrote:
On Jul 15, 2013 11:47 AM, Charles R Harris charlesr.har...@gmail.com
wrote:
On Mon, Jul 15, 2013 at 8:58 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Mon, Jul 15, 2013 at 8:34 AM, Sebastian Berg
sebast...@sipsolutions.net wrote:
On Mon, 2013-07-15 at 07:52 -0600, Charles
08:33:47 -0600, Charles R Harris wrote:
On Mon, Jul 15, 2013 at 8:25 AM, Benjamin Root ben.r...@ou.edu wrote:
This is going to need to be heavily documented with doctests. Also,
just
to clarify, are we talking about a ValueError for doing a nansum on an
empty array as well
Forgive my ignorance, but has numpy and scipy stopped doing that weird doc
editing thing that existed back in the days of Trac? I have actually held
back on submitting doc edits because I hated using that thing so much.
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...@iki.fi wrote:
18.07.2013 20:18, Benjamin Root kirjoitti:
Forgive my ignorance, but has numpy and scipy stopped doing that weird
doc editing thing that existed back in the days of Trac? I have actually
held back on submitting doc edits because I hated using that thing so
much.
You were never
On Mon, Jul 22, 2013 at 10:55 AM, Yaroslav Halchenko
li...@onerussian.comwrote:
At some point I hope to tune up the report with an option of viewing the
plot using e.g. nvd3 JS so it could be easier to pin point/analyze
interactively.
shameless plug... the soon-to-be-finalized matplotlib-1.3
On Tue, Jul 23, 2013 at 10:11 AM, Stéfan van der Walt ste...@sun.ac.zawrote:
On Tue, Jul 23, 2013 at 3:39 PM, Alan G Isaac alan.is...@gmail.com
wrote:
On 7/23/2013 9:09 AM, Pauli Virtanen wrote:
.flat which I think
is rarely used
Don't assume .flat is not commonly used. A common
On Tue, Jul 23, 2013 at 10:46 AM, Pauli Virtanen p...@iki.fi wrote:
23.07.2013 17:34, Benjamin Root kirjoitti:
[clip]
Don't assume .flat is not commonly used. A common idiom in matlab is
a[:] to flatten an array. When porting code over from matlab, it is
typical to replace
On Mon, Jul 22, 2013 at 1:28 PM, Yaroslav Halchenko li...@onerussian.comwrote:
On Mon, 22 Jul 2013, Benjamin Root wrote:
At some point I hope to tune up the report with an option of
viewing the
plot using e.g. nvd3 JS so it could be easier to pin point/analyze
On Wed, Jul 24, 2013 at 8:47 AM, Daπid davidmen...@gmail.com wrote:
An idea:
If .H is ideally going to be a view, and we want to keep it this way,
we could have a .h() method with the present implementation. This
would preserve the name .H for the conjugate view --when someone finds
the way
On Aug 10, 2013 12:50 PM, Ralf Gommers ralf.gomm...@gmail.com wrote:
On Sat, Aug 10, 2013 at 5:21 PM, Andrew Dalke da...@dalkescientific.com
wrote:
[Short version: It doesn't look like my proposal or any
simple alternative is tenable.]
On Aug 10, 2013, at 10:28 AM, Ralf Gommers wrote:
On Aug 11, 2013 5:02 AM, Ralf Gommers ralf.gomm...@gmail.com wrote:
On Sun, Aug 11, 2013 at 3:35 AM, Benjamin Root ben.r...@ou.edu wrote:
Would there be some sort of way to detect that numpy.testing wasn't
explicitly imported and issue a deprecation warning? Say, move the code
into numpy
On Aug 11, 2013 4:37 PM, Andrew Dalke da...@dalkescientific.com wrote:
On Aug 11, 2013, at 10:24 PM, Benjamin Root wrote:
The idea would be that within numpy (and we should fix SciPy as well),
we would always import numpy._testing as testing, and not import testing.py
ourselves.
The problem
On Fri, Aug 23, 2013 at 10:34 AM, Francesc Alted franc...@continuum.iowrote:
Hi José,
The code is somewhat longish for a pure visual inspection, but my advice
is that you install memory profiler (
https://pypi.python.org/pypi/memory_profiler). This will help you
determine which line or
On Mon, Aug 26, 2013 at 11:01 AM, Ralf Gommers ralf.gomm...@gmail.comwrote:
On Sun, Aug 18, 2013 at 6:36 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Sun, Aug 18, 2013 at 12:17 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
Just a reminder that 1.8.0 will be
On Thu, Aug 29, 2013 at 8:04 AM, Robert Kern robert.k...@gmail.com wrote:
On Thu, Aug 29, 2013 at 12:00 PM, Martin Luethi lue...@vaw.baug.ethz.ch
wrote:
Dear all,
After some surprise, I noticed an inconsistency while adding array
slices:
a = np.arange(5)
a[1:] = a[1:] + a[:-1]
On Aug 29, 2013 4:11 PM, Jonathan T. Niehof jnie...@lanl.gov wrote:
On 08/29/2013 01:48 PM, Ralf Gommers wrote:
Thanks. I had read that quite differently, and I'm sure I'm not the only
one. Some context would have helped
My apologies--that was a rather obtuse reference.
Just for
The two lists are of different sizes.
Had to count twice to catch that.
Ben Root
On Mon, Sep 9, 2013 at 9:46 AM, Chad Kidder cckid...@gmail.com wrote:
I'm trying to enter a 2-D array and np.array() is returning a 1-D array of
lists. I'm using Python (x,y) on Windows 7 with numpy 1.7.1.
On Sat, Sep 7, 2013 at 7:56 PM, Charles R Harris
charlesr.har...@gmail.comwrote:
Hi All,
I've been doing some PEP8 work using autopep8. One problem that has turned
up is that the default behavior of autopep8 is version dependent. I'd like
to put a script in numpy tools that runs autopep8
On Fri, Sep 13, 2013 at 4:27 AM, Mark Bakker mark...@gmail.com wrote:
Thanks, Gregorio.
I would like it if argmax had a keyword option to return the row,column
index automatically (or whatever the dimension of the array).
Afterall, argmax already knows the shape of the array.
Calling
On Fri, Sep 27, 2013 at 8:27 AM, Sebastian Berg
sebast...@sipsolutions.netwrote:
Hey,
since I am working on the indexing. I was wondering about a few smaller
things:
* 0-d boolean array, `np.array(0)[True]` (will work now) would
give np.array([0]) as a copy, instead of the original
On Wed, Oct 2, 2013 at 11:43 AM, Charles R Harris charlesr.har...@gmail.com
wrote:
Hi Stefan,
On Wed, Oct 2, 2013 at 9:29 AM, Stéfan van der Walt ste...@sun.ac.zawrote:
Hi Chuck
On Tue, Oct 1, 2013 at 1:07 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
I'll bet the skimage
On Wed, Oct 2, 2013 at 1:05 PM, Charles R Harris
charlesr.har...@gmail.comwrote:
On Wed, Oct 2, 2013 at 10:56 AM, josef.p...@gmail.com wrote:
On Wed, Oct 2, 2013 at 12:37 PM, Stéfan van der Walt ste...@sun.ac.za
wrote:
On 2 Oct 2013 18:04, Charles R Harris charlesr.har...@gmail.com
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