On 12/1/2011 9:15 AM, Derek Homeier wrote:
np.array((2, 12,0.001+2j), dtype='|S8')
array(['2', '12', '(0.001+2'], dtype='|S8')
- notice the last value is only truncated because it had first been converted
into
a standard complex representation, so maybe the problem is already in the
way
On 12/6/2011 8:32 AM, Roger Binns wrote:
I think this cannot be helped --- it does not make sense to explain
basic Numpy concepts in every docstring, especially `axis` and `shape`
are very common.
They don't need to be explained on the page, but instead link to a page
that does explain them.
On 12/6/2011 9:54 AM, K.-Michael Aye wrote:
I have a function f(x,y).
I would like to calculate it at x = arange(20,101,20) and y = arange(2,30,2)
How do I store that in a multi-dimensional array and preserve the grid
points where I did the calculation
In [5]: X, Y = np.meshgrid(range(3),
NOTE:
Let's keep this on the list.
On Tue, Dec 13, 2011 at 9:19 AM, denis denis-bz...@t-online.de wrote:
Chris,
unified, consistent save / load is a nice goal
1) header lines with date, pwd etc.: where'd this come from ?
# (5, 5) svm.py bz/py/ml/svm 2011-12-13 Dec 11:56 --
On Tue, Dec 13, 2011 at 11:29 AM, Bruce Southey bsout...@gmail.com wrote:
**
Reading data is hard and writing code that suits the diversity in the
Numerical Python community is even harder!
yup
Both loadtxt and genfromtxt functions (other functions are perhaps less
important) perhaps need
On Wed, Dec 14, 2011 at 11:36 AM, Benjamin Root ben.r...@ou.edu wrote:
well, yes, though it does do a lot -- do you have a smpler one in mind?
Just looking at what I normally wouldn't need for simple data files and/or
what a beginning user won't understand at once, the `unpack` and `ndmin`
I suspect your getting a bit tangled up in the multiple binaries of
Python on the Mac.
On the python.org site there are two binaries:
32bit, PPC_Intel, OS-X 10.3.9 and above.
32 and 64 bit, Intel only, OS-X 10.6 and above.
You need to make sure that you get a matplotlib build for the python
sorry to be a proselytizer, but this would be trivial with Cython:
http://cython.org/
-Chris
On Tue, Dec 27, 2011 at 1:52 AM, Åke Kullenberg
ake.kullenb...@gmail.com wrote:
After diving deeper in the docs I found the PyTuple_New alternative to
building tuples instead of Py_BuildValue. It
On Thu, Dec 29, 2011 at 1:36 PM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
First thought: very useful, but probably not GSOC topics by themselves.
Documentation is specificsly excluded from GSoC (at least it was a
couple years ago when I last was involved)
Not sure about testing, but I'd
On Fri, Dec 30, 2011 at 9:43 PM, Jaidev Deshpande
deshpande.jai...@gmail.com wrote:
Documentation is specificsly excluded from GSoC (at least it was a
couple years ago when I last was involved)
Documentation wasn't excluded last year from GSoC, there were quite a
few projects that required a
Here's a thought:
Too bad numpy doesn't have a 24 bit integer, but you could tack a 0
on, making your image 32 bit, then use histogram2d to count the
colors.
something like (untested):
# create the 32 bit image
32bit_im = np.zeros((w, h), dtype = np.uint32)
view = 32bit_im.view(dtype =
2012/1/22 Ondřej Čertík ondrej.cer...@gmail.com:
If I have time, I'll try to provide an equivalent Fortran version too,
for comparison.
Ondrej
here is a Cython example:
http://wiki.cython.org/examples/mandelbrot
I haven't looked to see if it's the same algorithm, but it may be
instructive,
On Wed, Jan 18, 2012 at 1:26 AM, a...@pdauf.de wrote:
Your ideas are very helpfull and the code is very fast.
I'm curios -- a number of ideas were floated here -- what did you end up using?
-Chris
--
Christopher Barker, Ph.D.
Oceanographer
Emergency Response Division
NOAA/NOS/ORR
HI folks,
Is there a way to get a view of a subset of a structured array? I know
that an arbitrary subset will not fit into the numpy stridesoffsets
model, but some will, and it would be nice to have a view:
For example, here we have a stuctured array:
In [56]: a
Out[56]:
array([(1, 2.0, 3.0,
On Wed, Jan 25, 2012 at 11:33 AM, josef.p...@gmail.com wrote:
that's what I would try:
b = a.view(dtype=[('i', 'i4'), ('fl',[('f1', 'f8'), ('f2', 'f8')]),
('i2', 'i4')])
ah yes, I forgot about nesting dtypes -- very nice, thanks!
-Chris
b['fl']
array([(2.0, 3.0), (8.0, 9.0),
On Fri, Jan 27, 2012 at 1:29 PM, Robert Kern robert.k...@gmail.com wrote:
Well, if you really need to do this in more than one place, define a
utility function and call it a day.
def should_not_plot(x):
if x is None:
return True
elif isinstance(x, np.ndarray):
return
On Tue, Jan 31, 2012 at 6:33 AM, Neal Becker ndbeck...@gmail.com wrote:
The reason it surprised me, is that python 'all' doesn't behave as numpy 'all'
in this respect - and using ipython, I didn't even notice that 'all' was
numpy.all rather than standard python all.
namespaces are one honking
On Tue, Jan 31, 2012 at 6:14 AM, Malcolm Reynolds
malcolm.reyno...@gmail.com wrote:
Not exactly an answer to your question, but I can highly recommend
using Boost.python, PyUblas and Ublas for your C++ vectors and
matrices. It gives you a really good interface on the C++ side to
numpy arrays
On Sun, Feb 5, 2012 at 10:41 AM, Paolo p.zaff...@yahoo.it wrote:
I solved using 'rb' instead of 'r' option in the open file task.
that would do it, if it's binary data, but you might as well so it
right:
matrix=.join(f.readlines())
readlines is giving you a list of the data, as separated
On Wed, Feb 8, 2012 at 10:18 AM, Debashish Saha silid...@gmail.com wrote:
how to insert some specific delay in python programming using numpy command.
do you mean a time delay? If so -- numpy doesn't (and shouldn't) have
such a thing.
however, the time module has time.sleep()
whether it's a
Andrea,
Basically I have a set of x, y data (around 1,000 elements each) and I
want to create 2 parallel curves (offset curves) to the original
one; parallel means curves which are displaced from the base curve
by a constant offset, either positive or negative, in the direction of
the
On Mon, Feb 13, 2012 at 1:01 AM, Niki Spahiev niki.spah...@gmail.com wrote:
You can get polygon buffer from http://angusj.com/delphi/clipper.php and
make cython interface to it.
This should be built into GEOS as well, and the shapely package
provides a python wrapper already.
-Chris
HTH
On Mon, Feb 13, 2012 at 6:19 PM, Mark Wiebe mwwi...@gmail.com wrote:
It might be nice to turn the matrix class into a short class hierarchy,
am I confused, or did a thread get mixed in? This seems to be a
numpy/scipy thing, not a Python3 thing. Or is there some support in
Python itself required
On Tue, Feb 14, 2012 at 9:16 AM, Dag Sverre Seljebotn
d.s.seljeb...@astro.uio.no wrote:
It was about the need for a dedicated matrix multiplication operator.
has anyone proposed that? I do think we've had a proposal on the table
for generally more operators: i.e. like matlab's .* vs *, and yes,
On Wed, Feb 15, 2012 at 11:23 AM, Inati, Souheil (NIH/NIMH) [E] As
great and trustworthy as Travis is, there is a very real
potential for conflict of interest here. He is going to be leading an
organization to raise and distribute funding and at the same time leading a
commercial for profit
On Wed, Feb 15, 2012 at 1:36 PM, Matthew Brett
Personally, I
would say that making the founder of a company, which is working to
make money from Numpy, the only decision maker on numpy -
is - scary.
not to me:
-- power always goes to those that actually write the code
-- as far as I can
On Thu, Feb 16, 2012 at 11:03 AM, Matthew Brett matthew.br...@gmail.com wrote:
But surely - surely - the best thing to do here is to formulate
something that might be acceptable, and for everyone to say what they
think the problems would be. Do you agree?
Absolutely -- but just like anything
On Sun, Mar 4, 2012 at 2:18 PM, Luis Pedro Coelho l...@cmu.edu wrote:
At least last time I read up on it, cython was not able to do multi-type code,
i.e., have code that works on arrays of multiple types. Does it support it
now?
The Bottleneck project used some sort of template system to
On Wed, Mar 14, 2012 at 9:25 AM, Pauli Virtanen p...@iki.fi wrote:
Or, maybe the whole Fortran stuff can be run in a separate process, so
that crashing doesn't matter.
That's what I was going to suggest -- even if you can get it not to
crash, it may well be in a bad state -- memory leaks, and
On Tue, Mar 20, 2012 at 5:13 AM, Matthieu Rigal ri...@rapideye.net wrote:
In fact, I was hoping to have a less memory and more speed solution.
which do often go together, at least for big problems -- pushingm
emory around often takes more time than the computation itself.
At the end, I am
Warren et al:
On Wed, Mar 7, 2012 at 7:49 AM, Warren Weckesser
warren.weckes...@enthought.com wrote:
If you are setup with Cython to build extension modules,
I am
and you don't mind
testing an unreleased and experimental reader,
and I don't.
you can try the text reader
that I'm working
On Thu, Mar 29, 2012 at 7:55 AM, Tim Cera
I think there is also a question of using a prefix pad_xxx for the
function names as opposed to pad.xxx.
Namespaces are one honking great idea -- let's do more of those!
If I had it as pad.mean, pad.median, ...etc. then someone could
from
On Fri, Mar 30, 2012 at 10:57 AM, mark florisson
markflorisso...@gmail.com wrote:
Although the segfault was caused by a bug in NumPy, you should
probably also consider using Cython, which can make a lot of this pain
and boring stuff go away.
Is there a good demo/sample somewhere of an ndarray
On Sun, Apr 1, 2012 at 8:19 AM, Tom Aldcroft
aldcr...@head.cfa.harvard.edu wrote:
You might try something like below (untested code, just meant as
pointing in the right direction):
self.resize(len(self) + len(v1), refcheck=False)
self[len(self):] = v1
Setting refcheck=False is potentially
On Mon, Apr 2, 2012 at 2:25 AM, Nathaniel Smith n...@pobox.com wrote:
To see if this is an effect of numpy using C-order by default instead of
Fortran-order, try measuring eig(x.T) instead of eig(x)?
Just to be clear, .T re-arranges the strides (Making it Fortran
order), butyou'll have to make
On Tue, Apr 3, 2012 at 6:06 AM, Holger Herrlich
Hi, I plan to migrate core classes of an application from Python to C++
using SWIG,
if you're using SWIG, you may want the numpy.i SWIG interface files,
they can be handy.
but I probably wouldn't use SWIG, unless:
- you are already a SWIG
On Tue, Apr 3, 2012 at 4:45 PM, srean srean.l...@gmail.com wrote:
From the sourceforge forum it
seems the new Blitz++ is quite competitive with intel fortran in SIMD
vectorization as well, which does sound attractive.
you could write Blitz++ code, and call it from Cython. That may be a
bit
On Wed, Apr 4, 2012 at 12:55 PM, srean srean.l...@gmail.com wrote:
One big issue that I had with weave is that it compile on the fly. As a
result, it makes for very non-distributable software (requires a compiler
and the development headers installed), and leads to problems in the long
I do
On Wed, Apr 4, 2012 at 4:17 PM, Abhishek Pratap
close to a 900K points using DBSCAN algo. My input is a list of ~900k
tuples each having two points (x,y) coordinates. I am converting them
to numpy array and passing them to pdist method of
scipy.spatial.distance for calculating distance between
2012/4/8 Hänel Nikolaus Valentin valentin.hae...@epfl.ch
:
http://www.eos.ubc.ca/research/clouds/software/pythonlibs/num_util/num_util_release2/Readme.html
that looks like it hasn't been updated since 2006 -- Id say that
makes it a non-starter
The new numpy-boost project looks promising, though.
2012/4/9 Hänel Nikolaus Valentin valentin.hae...@epfl.ch:
http://www.eos.ubc.ca/research/clouds/software/pythonlibs/num_util/num_util_release2/Readme.html
that looks like it hasn't been updated since 2006 -- Id say that
makes it a non-starter
Yeah, thats what I thought... Until I found it in
On Fri, Apr 20, 2012 at 11:39 AM, Dag Sverre Seljebotn
d.s.seljeb...@astro.uio.no wrote:
Oh, right. I was thinking small as in fits in L2 cache, not small as
in a few dozen entries.
or even two or three entries.
I often use a (2,) or (3,) numpy array to represent an (x,y) point
(usually pulled
On Mon, Apr 23, 2012 at 12:57 PM, Nathaniel Smith n...@pobox.com wrote:
Right, this part is specifically about ABI compatibility, not API
compatibility -- segfaults would only occur for extension libraries
that were compiled against one version of numpy and then used with a
different version.
On Mon, Apr 23, 2012 at 3:08 PM, Travis Oliphant tra...@continuum.io wrote:
Right now we are trying to balance difficult things: stable releases with
experimental development.
Perhaps a more formal development release system could help here.
IIUC, numpy pretty much has two things: the latest
On Mon, Apr 23, 2012 at 11:18 PM, Ralf Gommers
Perhaps a more formal development release system could help here.
IIUC, numpy pretty much has two things:
This is a good idea - not for development releases but for master. Building
nightly/weekly binaries would help more people try out new
On Thu, May 10, 2012 at 2:38 AM, Dag Sverre Seljebotn
d.s.seljeb...@astro.uio.no wrote:
What would serve me? I use NumPy as a glorified double*.
all I want is my glorified
double*. I'm probably not a representative user.)
Actually, I think you are representative of a LOT of users -- it
turns,
Anthony,
Thanks for looking into this. A few other notes about fromstring() (
and fromfile() ).
Frankly they haven't gotten much love -- they are, as you have seen,
less than optimized, and kind of buggy (actually, not really buggy,
but not robust in the face of malformed input -- and they give
On Tue, May 22, 2012 at 6:33 AM, Chao YUE chaoyue...@gmail.com wrote:
Just in case some one didn't know this. Assign a float number to an integer
array element will always return integer.
right -- numpy arrays are typed -- that's one of the points of them --
you wouldn't want the entire array
On Tue, May 22, 2012 at 1:07 PM, Dan Goodman dg.gm...@thesamovar.net wrote:
I think it would be useful to have an example of a completely
'correctly' subclassed ndarray that handles all of these issues that
people could use as a template when they want to subclass ndarray.
I think this is by
/gdns_web/job_search.cfm
and search for job ID: 199765
You can also send questions about employment issues to:
Susan Bowley: susan.bow...@gdit.com
And questions about the nature of the work to:
Chris Barker: chris.bar...@noaa.gov
--
Christopher Barker, Ph.D.
Oceanographer
On Fri, Jun 1, 2012 at 10:46 AM, Chris Withers ch...@simplistix.co.uk
Any reason why this:
import numpy
numpy.zeros(10)[-123]
Traceback (most recent call last):
File stdin, line 1, in module
IndexError: index out of bounds
...could say this:
numpy.zeros(10)[-123]
On Mon, Jun 4, 2012 at 9:21 AM, bob tnur bobtnu...@gmail.com wrote:
Hello every body. I am new to python.
How to remove any row or column of a numpy matrix whose sum is 3.
To obtain and save new matrix P with (sum(anyrow)!=3 and sum(anycolumn)!=3
elements.
well, one question is -- do you want
On Mon, Jun 4, 2012 at 11:10 AM, Patrick Redmond plredm...@gmail.com wrote:
Here's how I sorted primarily by field 'a' descending and secondarily by
field 'b' ascending:
could you multiply the numeric field by -1, sort, then put it back --
somethign like:
data *- -1
data_sorted = np.sort(data,
On Thu, Jun 28, 2012 at 9:06 AM, Pierre Haessig
On the other hand, just like srean mentionned, I think I also misused
the c[:] = a+b syntax.
I feel it's a bit confusing since this way of writing the assignment
really feels likes it happens inplace. Good to know it's not the case.
well, c is
On Wed, Jun 27, 2012 at 2:38 PM, x.pi...@gmail.com wrote:
How how can I perform matrix multiplication of two vectors?
(in matlab I do it like a*a')
np.outer is a bit cleaner, I suppose, but you can exactly the same
thing you do with matlab if a is a column (single column 2-d array):
In [40]:
On Mon, Jul 2, 2012 at 12:17 PM, Andrew Dalke da...@dalkescientific.com wrote:
In this email I propose a few changes which I think are minor
and which don't really affect the external NumPy API but which
I think could improve the import numpy performance by at
least 40%.
+1 -- I think I
On Thu, Jul 12, 2012 at 2:32 PM, Chao YUE chaoyue...@gmail.com wrote:
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.
why do the string packing/unpacking? why not use an
On Sun, Jul 15, 2012 at 2:51 PM, Pierre GM pgmdevl...@gmail.com wrote:
A basic warning, though: you
don't want to overwrite Mac OS X's own numpy, ...
Which is one of the reasons many of us recommend installing the
pyton,org python and leaving Apple's alone. And why the standard
numpy/scipy
On Mon, Jul 16, 2012 at 2:50 PM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
Working lazy imports would be useful to have. Ralf is opposed to the idea
Note that my being opposed is because the benefits are smaller than the
cost. If there was a better reason than shaving a couple of extra
On Mon, Jul 16, 2012 at 8:37 PM, Travis Oliphant tra...@continuum.io wrote:
--- systems that try to freeze Python programs were
particularly annoyed at SciPy's lazy import mechanism.
That's ironic to me -- while the solution to a lot of freezing
problems is to include everything including the
On Fri, Jul 20, 2012 at 1:17 PM, OC oc-spa...@laposte.net wrote:
numpy.complex is just a reference to the built in complex, so only works
on scalars:
What is the use of storing the complex() built-in function in the
numpy namespace, when it is already accessible from everywhere?
for
On Mon, Aug 6, 2012 at 8:51 PM, Tom Krauss thomas.p.kra...@gmail.com wrote:
I got a new job, and a new mac book pro on which I just installed Mac OS X
10.8.
congrats -- on the job, and on an employer that gets you a mac!
I need to run SWIG to generate a shared object from C++ source that
On Tue, Aug 7, 2012 at 5:00 AM, Pierre GM pgmdevl...@gmail.com wrote:
It's generally considered a very bad idea(™) to install NumPy on a recent
OSX system without specifying a destination. By default, the process will
try to install on /Library/Frameworks/Python, overwriting the pre-installed
It depends a bit on how you installed it, but for the most part you
should simiply be able to delete the numpy directory in site_packages.
-Chris
On Thu, Aug 9, 2012 at 1:04 AM, x.pi...@gmail.com wrote:
Thanks to everybody.
___
NumPy-Discussion
On Sun, Aug 19, 2012 at 11:39 AM, Ralf Gommers The problem is that,
unlike 32-bit builds, they can't be made with open
source compilers on Windows. So unless we're okay with that,
Why does it have to be built with open-source compilers? we're
building against the python.org python, yes? Which
, Chris Barker wrote:
On Sun, Aug 19, 2012 at 11:39 AM, Ralf Gommers The problem is that,
unlike 32-bit builds, they can't be made with open
source compilers on Windows. So unless we're okay with that,
Why does it have to be built with open-source compilers? we're
building against
Todd,
The short version is: you can't do that. -- Jython uses the JVM, numpy
is very, very tied into the CPython runtime.
This thread is a bit old, but think still holds:
http://stackoverflow.com/questions/3097466/using-numpy-and-cpython-with-jython
There is the junumeric project, but it
On Sun, Aug 26, 2012 at 8:53 PM, Todd Brunhoff to...@nvr.com wrote:
Chris,
winpdb is ok, although it is only a graphic debugger, not an ide, emphasis
on the 'd'.
yup -- I mentioned, that as you seem to like NB -- and I know I try to
use the same editor for eveything.
But if you want a nice
Hi folks,
I'm working on a package that will contain a bunch of cython
extensions, all of which need to link against a pile of C++ code. What
I think I need to do is build that C++ as a dynamic library, so I can
link everything against it.
It would be nice if I could leverage distutils to build
On Thu, Sep 20, 2012 at 2:48 PM, Nathaniel Smith n...@pobox.com wrote:
because a += b
really should be the same as a = a + b.
I don't think that's the case - the inplace operator should be (and
are) more than syntactic sugar -- they have a different meaning and
use (in fact, I think they
On Fri, Sep 21, 2012 at 10:03 AM, Nathaniel Smith n...@pobox.com wrote:
You're right of course. What I meant is that
a += b
should produce the same result as
a[...] = a + b
If we change the casting rule for the first one but not the second, though,
then these will produce different
On Sat, Sep 22, 2012 at 1:00 PM, Sebastian Haase seb.ha...@gmail.com wrote:
Oh,
is this actually documented - I knew that np.array would (by default)
only create copies as need ... but I never knew it would - if all fits
- even just return the original Python-object...
was that a typo? is is
On Tue, Sep 25, 2012 at 2:31 AM, Andreas Hilboll li...@hilboll.de wrote:
I commonly have to deal with legacy ASCII files, which don't have a
constant number of columns. The standard is 10 values per row, but
sometimes, there are less columns. loadtxt doesn't support this, and in
genfromtext,
On Tue, Sep 25, 2012 at 4:31 AM, Sturla Molden stu...@molden.no wrote:
Also, instead of writing a linked list, consider collections.deque.
A deque is by definition a double-ended queue. It is just waste of time
to implement a deque (double-ended queue) and hope it will perform
better than
Paul,
Nice to see someone working on these issues, but:
I'm not sure the problem you are trying to solve -- accumulating in a
list is pretty efficient anyway -- not a whole lot overhead.
But if you do want to improve that, it may be better to change the
accumulating method, rather than doing
On Fri, Sep 28, 2012 at 3:11 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
If the behaviour is not specified and tested, there is no guarantee that it
will continue.
This is an open-source project - there is no guarantee of ANYTHING.
But that being said, the specification and testing
On Sat, Sep 29, 2012 at 2:16 AM, Gael Varoquaux
gael.varoqu...@normalesup.org wrote:
Next time I see you, I owe you a beer for making you cross :).
If I curse at you, will I get a beer too?
-Chris
--
Christopher Barker, Ph.D.
Oceanographer
Emergency Response Division
NOAA/NOS/ORR
On Wed, Oct 3, 2012 at 9:05 AM, Paul Anton Letnes
paul.anton.let...@gmail.com wrote:
I'm not sure the problem you are trying to solve -- accumulating in a
list is pretty efficient anyway -- not a whole lot overhead.
Oh, there's significant overhead, since we're not talking of a list - we're
On Wed, Nov 7, 2012 at 11:41 AM, Neal Becker ndbeck...@gmail.com wrote:
Would you expect numexpr without MKL to give a significant boost?
It can, depending on the use case:
-- It can remove a lot of uneccessary temporary creation.
-- IIUC, it works on blocks of data at a time, and thus can
On Thu, Nov 8, 2012 at 2:22 AM, Francesc Alted franc...@continuum.io wrote:
-- It can remove a lot of uneccessary temporary creation.
Well, the temporaries are still created, but the thing is that, by
working with small blocks at a time, these temporaries fit in CPU cache,
preventing
On Mon, Sep 16, 2013 at 2:56 AM, Nathaniel Smith n...@pobox.com wrote:
Another question is, can we start distributing wheels yet?
yes, yes, yes -- though maybe not for the beta testing.
wheels will never catch on , or even get debugged if none of us use them.
-Chris
--
Christopher
On Mon, Sep 16, 2013 at 6:31 AM, William Ray Wing w...@mac.com wrote:
If you will forgive an observation from a Mac user and (amateur)
developer. I have twice tried to build Numpy from source and both times
failed. The problem was that I couldn't find a single comprehensive set of
On Mon, Sep 16, 2013 at 12:15 PM, Peter Cock p.j.a.c...@googlemail.comwrote:
Doing that right is important not just for SciPy but for any
other downstream package including C code compiled
against the NumPy C API (and the people doing this
probably will only have access to free compilers).
Hi,
I need to use numpy's distutils Extension to build a fortran / f2py
extension.
But I also really like setuptools' develop mode.
However, if I do:
from numpy.distutils.core import Extension
and use that to define my Extension object, but use:
from setuptools import setup
And use that for
On Wed, Sep 18, 2013 at 2:20 AM, Robert Kern robert.k...@gmail.com wrote:
Just import setuptools before doing the numpy.distutils imports. You don't
need to use setuptools.setup() in order to get access to the
setuptools-added commands.
Thanks --- that works fine -- I could have sworn I
On Mon, Oct 7, 2013 at 10:15 AM, Siegfried Gonzi
sgo...@staffmail.ed.ac.uk wrote:
What is the equivalent to IDL its help function, e.g.
==
IDL a = make_array(23,23,)
IDL help,a
will result in:
A FLOAT = Array[23, 23]
am I missing something, or is this what you get when
On Wed, Oct 16, 2013 at 4:23 PM, Daniele Nicolodi dani...@grinta.net wrote:
the format is quite clearly documented. For the path data you can see
http://www.w3.org/TR/SVG/paths.html. There are several open source
libraries that implement SVG rendering, you may look at those to see how
the
If you go to numpy.org, and try to figure out how to install numpy,
you are most likely to end up here:
http://www.scipy.org/install.html
where there is no mention of the binaries built by the numpy project
itself, either Windows or Mac.
There probably should be.
-Chris
--
Christopher
On Tue, Oct 22, 2013 at 6:07 AM, Pauli Virtanen p...@iki.fi wrote:
22.10.2013 06:29, Chris Barker kirjoitti:
If you go to numpy.org, and try to figure out how to install numpy,
you are most likely to end up here:
http://www.scipy.org/install.html
where there is no mention of the binaries
On Tue, Oct 22, 2013 at 9:36 AM, Ralf Gommers ralf.gomm...@gmail.com wrote:
You can argue with the exact wording,
I won't argue, I'll suggest an alternative in a pull request...
but the layout of that page is on
purpose. scipy.org is split into two parts: (a) a SciPy Stack part, and (b)
a
On Tue, Oct 22, 2013 at 1:44 PM, Chris Barker chris.bar...@noaa.gov wrote:
(off to do a pull request)
Done.
https://github.com/scipy/scipy.org/pull/30
-Chris
--
Christopher Barker, Ph.D.
Oceanographer
Emergency Response Division
NOAA/NOS/ORR(206) 526-6959 voice
7600 Sand
By the way:
On Tue, Oct 22, 2013 at 1:44 PM, Chris Barker chris.bar...@noaa.gov wrote:
If you google numpy you get the numpy.org page as the first hit
If you go to numpy.org, there is a geting numpy link, that takes you to:
http://www.scipy.org/install.html
The www.numpy.org page could
On Tue, Oct 22, 2013 at 2:23 PM, Ralf Gommers ralf.gomm...@gmail.com wrote:
https://github.com/numpy/numpy.org
Agreed that numpy.org is not in great shape. Volunteers welcome I'd say.
I just did a pull request to update the Getting Numpy link -- but
yes, it needs more than that...someday.
On Wed, Oct 23, 2013 at 11:10 AM, Matthew Brett matthew.br...@gmail.com wrote:
I am arguing that whether it's a good idea or not, according to us, is
not going affect the guys and gals in Group 2, and that, unless we
want to lose or discourage those people, we'll always need to support
(and
/scipy.org/pull/32
-Chris
On Wed, Oct 23, 2013 at 12:50 PM, Chris Barker chris.bar...@noaa.gov wrote:
On Wed, Oct 23, 2013 at 11:10 AM, Matthew Brett matthew.br...@gmail.com
wrote:
I am arguing that whether it's a good idea or not, according to us, is
not going affect the guys and gals
On Wed, Oct 23, 2013 at 1:45 PM, Ralf Gommers ralf.gomm...@gmail.com wrote:
I'd be tempted to replace that unreadable link with
http://sourceforge.net/projects/scipy/files/scipy/ and not care about
pip/easy_install scanning that page. Binary installers don't work anyway and
source bundles are
Ned,
I think this fell off the list (I really don't like when reply is not set
to the list...)
On Fri, Oct 25, 2013 at 4:33 PM, Ned Deily n...@acm.org wrote:
On Oct 25, 2013, at 15:17 , Chris Barker chris.bar...@noaa.gov wrote:
On Thu, Oct 24, 2013 at 7:29 PM, Ned Deily n...@acm.org wrote
On Mon, Oct 28, 2013 at 6:25 AM, Pierre Haessig pierre.haes...@crans.orgwrote:
a.base
In this document, it is mentionned several time that slicing yields
views of the original data, but the .base attribute is not mentionned.
Should it be or is it out-of-scope of the Indexing guide ?
On Sun, Nov 10, 2013 at 7:27 PM, Stéfan van der Walt ste...@sun.ac.zawrote:
that the main thing missing at this point is fixing the datetime
problems.
What needs to be done, and what is the plan forward?
I'm not sure that's quite been decided, but my take:
1) remove the existing time zone
On Sun, Nov 17, 2013 at 1:53 AM, Ralf Gommers ralf.gomm...@gmail.comwrote:
I'm happy to announce the availability of the scipy 0.13.1 release. This
is a bugfix only release; it contains several fixes for issues in ndimage.
Thanks to Pauli Virtanen and Ray Jones for fixing these issues quickly.
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