and include that in sources. I think I
only used f2py to create the pyf file and not directly part of the
compilation process. If memory serves the Extension function knows what to
do with the pyf file.
Kindest regards,
Tim
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e a handful of users.
So I've been toying with the idea to use ctypes + iso_c_binding. I could
then use MinGW on Windows to compile the code for all versions of Python
that have ctypes. I've tested this approach on a few functions and it
works, but far from done.
My $0.02.
Kindest
easy
enough by using the absolute value.
I think what Numpy does is normal enough to not justify a warning, but
leave this to others because as I pointed out in the beginning I don't
work with complex numbers.
Kindest regards,
Tim
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Hello,
what are the differences between the two transformation functions
frompyfunc & vectorize
* http://docs.scipy.org/doc/numpy/reference/generated/numpy.vectorize.html
* http://docs.scipy.org/doc/numpy/reference/generated/numpy.frompyfunc.html
I cannot see the which one I shall prefer for what
am not stepping forward to do it. At this point I
simply have to say that I am a 'balcony muppet'. Much thanks to Josef
for the reminder about where I learned my curmudgeony ways. Those
guys made the show!
Kindest regards,
Tim
On Mon, Sep 9, 2013 at 12:08 PM, Blake Griffith
wrote:
&
len(a) + 2).astype(float)[::-1]
# Ramp from 1 to 0 exclusive
a = (a/a[0])[1:-1]
# Insert ramp into factor
factor[sl] = a
result = result * factor
print 'result=', len(result)
relevation = F.irfft(result, len(nelevation))
print 're
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 wrote:
> Figured it out. I created 'day' as a broadcast array. Does this
> catch other people? Basically chang
Figured it out. I created 'day' as a broadcast array. Does this
catch other people? Basically changing day[0] would change the entire
'day' array. I guess all other elements of the day array are views of
day[0]. Made a copy and everything works as expected.
Kindest regar
[41]: a
Out[41]: array([12, 1])
Am I missing something? Is this supposed to happen?
Version 1.7.1.
Kindest regards,
Tim
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was
to remove the NotImplemented errors. They really bothered me. I
thought that if the functions were already included in numpy, they
must be useful to someone. For me, typically I do any financial work
in a spreadsheet - that is why I vote 0.
Kindest regards,
Tim
On Sat, 2013-06-01 at 20:09 -0400, Warren Weckesser wrote:
> I'm using Ubuntu 12.04, so I suspect I won't be the only one who sees
> these.
>
gcc on 12.04 (precise) should be 4.6.3
See
http://packages.ubuntu.com/search?keywords=gcc&searchon=names&suite=precise§ion=all
([ 4., 5., 7., nan, nan, nan, nan, nan, nan, nan],
dtype=float32)
>>> nancumsum(a)
array([ 4., 5., 7., 0., 18., 23., 29., 29., 37., 46.])
Excellent!
Kindest regards,
Tim
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Close, but not exactly what I need. I want the 'cumsum', so given the 'a'
in your example:
array([1,2,6,10,0,1,3,6,0,3])
I just made a loop, testing for 'nan'. Not elegant, but it works so I am
not complaining.
Kindest regards,
Tim
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in a moment.
Kindest regards,
Tim
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ions in ndimage are called zonal
functions in the GIS field.
Kindest regards,
Tim
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nes. Note
also that ArcGIS is limited to 2-d, and a 3x3 neighborhood.
Kindest regards,
Tim
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esktop/9.2/index.cfm?TopicName=An%20overview%20of%20the%20Neighborhood%20tools
If the language is confusing, now is the time to change the names.
Kindest regards,
Tim
On Fri, Oct 12, 2012 at 8:33 AM, Sturla Molden wrote:
> On 10.10.2012 15:42, Nathaniel Smith wrote:
> > This PR submitted a
milar functionality
would be available. That particular function isn't useful to me directly,
but perhaps others?
Kindest regards,
Tim
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= np.ones((3,3,3))
>>> ans = neighbor(inputarr, weight, np.mean, pad = None)
In place of 'np.mean' you can define your own function - game of life
function for example.
The PR has not had much activity, so if you can review/comment/program th
ocs.scipy.org/numpy/search/ and click on the 'No Examples' or
'No Documentation' links.
Same searches are available with scipy at
http://docs.scipy.org/scipy/search/, which Ralf already pointed out needs
the most work.
Kindest regards,
Tim
oks pretty nice, EXCEPT that
the last commit was in 2009. On the other have it could be that it has
reached perfection. :-)
Kindest regards,
Tim
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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
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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
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time is right.
Kindest regards,
Tim
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be very interested.
Kindest regards,
Tim
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ow to put 'maskna' or '1.7' in the subject?
In defense of there not be much interest is that the people who would
possibly benefit, aren't reading English mailing lists.
Kindest regards,
Tim
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tle/index
(You have to get the development versions of translate and pootle to work
with Django 1.4.)
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now that. I suggested modifying np.info since I suspect that a
new np.info would be easier since changes to support i18n would be
contained to one command. Of course if there is something easier/better,
let's go with that.
Kindest regards,
Tim
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x-build is working, then the target build directory (which I
called 'gettext' above) would be in a location accessible to pootle.
Kindest regards,
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kage' a couple of times in a row
in order to remove old versions of packages, then run 'pip install
package'. Old packages and pip seem to be a problem if you have used
'easy_install' to install the older packages.
Kindest regards,
Tim
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tinually small improvements rather that a point when it is 'Done'.
Regardless of what decision is made, the single 'Proofed' docstring should
be available for editing. I can't even find what it is. I imagine that it
should be on the docstring page at http://docs.scipy.or
o remember if I
masked, then unmasked values and I don't recall any time that I did that.
Of course my use cases are constrained to what I have done in the past.
It feels like a bad idea, for the sake of saving the memory for the mask
bits.
Now, the amazing thing is tha
variable. LD_LIBRARY_PATH is a colon separated list of paths that is
searched for dynamic libraries by both regular programs and by Python.
Use...
env | grep LD_
to show you the existing LD_LIBRARY_PATH. To change/append depends on your
shell.
Kindest regards,
Tim
d(marr)
np.max(a)
9 # mask is not used
ma.max(a)
4 # mask is used
Kindest regards,
Tim
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es in the table
that I remember as being links, but are just plain text currently. Did
something go wrong with a build?
Thanks,
Tim
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guments. The order of the arguments - I don't care.
I realize that this thread is around 26 messages long now, but if everyone
who is interested in this could weigh in one more time about this one
issue. To minimize discussion on the list, you can add a comment to the
pull request at https
he PR committed with a
> single-function interface. I like having the array as the first argument
> to that function (it is more consistent). They keyword can be called mode
> or method
>
> Tim, what do you think of that? Further developments can happen in a
> separate PR.
&g
ctions as additional user-exposed entry-points, I think the
> current names in the PR met with objections? (The current names are
> like "np.lib.pad.pad_mean".)
Names?
Kindest regards,
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s, **kwargs):
vector[:pad_tuple[0]] = kwargs['constant_values'][iaxis][0]
vector[-pad_tuple[1]:] = kwargs['constant_values'][iaxis][1]
return vector
constants = ((10,20), (30,40))
# 10 will be prepended to all rows (axis 0)
# 20 will be
have some goodness?
Kindest regards,
Tim
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)
# then you would have a confusing
b = mean(a, 2)
Because of that I would vote for 'pad.pad_xxx' instead of 'pad.xxx'. In
fact at one time I named the functions 'pad.pad_with_xxx' which was a
little overkill.
Kindest regards,
Tim
__
lib?
Do I really care about this? Not really since it isn't a utility issue,
but I contend that it would look better to pull these functions into their
own namespace.
Is there a consensus?
The current pull request:
https://github.com/numpy/numpy/pull/242
Kinde
think it looks
pretty good right now.
Kindest regards,
Tim
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#x27;T_SFC'][:]
If your NetCDF files are properly structured,
the above line will give you a masked array.
If you really need to put a fill value in to go to a non-masked array,
better to do this just once after the maximums have been determined.
Tim
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eview in a 1.7.0 release will likely raise it's visibility
- a lot of people will read release notes of a newer version but won't ever
track discussions in a mailing list.
Tim Burgess
Software Engineer - Coral Reef Watch
Satellite Applications and Research - NESDIS
National Oceanic and
terp to do
nearest-neighbor interpolation (by setting order=0). It defaults to
order=1, which is bilinear interpolation, which will destroy the binary
nature of your data (as you perhaps noticed).
Tim
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implementation notes you've got there would
be a useful resource for other people looking to make the 2->3
transition.
Just my 2c, many thanks as always to the people putting in all the
hard work to make numpy happen!
Tim
> --
> Pauli Virtanen
>
>
>> Is this worth to go into the official docs?
>> The page http://docs.scipy.org/doc/numpy/user/basics.rec.html is quite
>> sparse...
>>
>> I still wonder why there is not a quick function for such a view /
>> reshape conversion.
>
>
> Thanks, the docs for working with arrays with structured dtyp
josef.p...@gmail.com schrieb:
> On Mon, Mar 8, 2010 at 5:50 PM, Tim Michelsen
> wrote:
>> Hello,
>> thanks to all who responded and have their input here.
>>
>> I added a little code snippet to show the view and reshape:
>>
>> http://www.scipy.org/Cookbo
>> I still wonder why there is not a quick function for such a view /
>> reshape conversion.
>
> Because it is difficult (impossible?) to do in the general case. .view()
> really isn't that bad, in fact, it remarkably powerful and flexible!
I would not drop .view() but rather add a convenience fu
Hello,
thanks to all who responded and have their input here.
I added a little code snippet to show the view and reshape:
http://www.scipy.org/Cookbook/Recarray
What do you think?
Is this worth to go into the official docs?
The page http://docs.scipy.org/doc/numpy/user/basics.rec.html is quite
s
Hello,
I am also looking into the convertsion from strcutured arrays to ndarray.
> I've just started playing with numpy and have noticed that when printing
> a structured array that the output is not nicely formatted. Is there a
> way to make the formatting look the same as it does for an unstruct
Hello,
I experienced the following issue with numpy 1.4:
scipy.stats:
Python 2.6.2 (r262:71605, Apr 14 2009, 22:40:02) [MSC v.1500 32 bit (Intel)] on
win32
import scipy.stats as st
Traceback (most recent call last):
File "", line 1, in
File "C:\Python26\lib\site-packages\scipy\stats\__init
>> And another question I import this file to excel, is there also a
>> possiblity to create a headline for each column, that the file looks
>> like the following example:
>>
>> average; standard deviation; maximum distance; sum of distances
>> 0,26565; 0,65565; 2,353535; 25, 5656
I was fid
FYI:
Here is a summary of how one can
1) write numpy arrays to Excel
2) interact with numpy/scipy/... from Excel
http://groups.google.com/group/python-excel/msg/3881b7e7ae210cc7
Best regards,
Timmie
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> My bad, sorry. I already always forget to check tickets on the trac
> site for numpy/scipy, adding yet another site to check seems to be way
> too much for my caffeine-affected memory. However, there should be an
> option to allocate tickets to specific people, right ? And then I
> should
> It already exists in the docs:
> http://docs.scipy.org/numpy/docs/numpy.lib.io.genfromtxt/
> Did you mean you tried to edit this page?
But cannot be found in here:
http://docs.scipy.org/doc/numpy/reference/routines.io.html
So it just needs to be added in
http://docs.scipy.org/doc/numpy/_source
> I actually figured out a workaround with converters, since my missing
> values are " "," "," " ie., irregular number of spaces and the
> values aren't stripped of white spaces. I just define {# : lambda s:
> float(s.strip() or 0)}, and I have a loop build all of the converters,
> but then I h
> Check the archives of the mailing list, there's an example using
> dateutil.parser that may be just what you need.
How is this dateutil.parser used in timeseries?
Can it not be used to make the dateconverter obsolte for the most simple
cases?
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> I just wanted to point out that there is an easy way of making a
> difference, and making sure that the docstrings get fixed (which is
> indeed very important). If you go to http://docs.scipy.org/ and register,
> send your login name on this mailing list, we will add you to the list of
> editors,
>> Again, would a function for the
>> "empirical inverse survival function" qualify for the
>> inclusion into numpy or scipy?
>
> Sorry, I'm too distracted, correcting myself a second time
> "this should *not* have inverse in it, using inverse was a cut and paste
> error"
> it's empirical survi
> My first stop is usually wikipedia:
[...]
Thanks.
So I I'known that I have to call the beast a
"empirical inverse survival function", Robert would
also have foundit easier to help.
Anyway, step by step...
> In the case of the weight of pigs, it would be to cumulative weight of
> all pigs with
>
Hello,
I have checked the snippets you proposed.
It does what I wanted to achieve.
Obviously, I had to substract the values as Robert
demonstrated. This could also be perceived from
the figure I posted.
I still have see how I can optimise the code
(c.f. below) or modify to be less complicated
> >>> Okay. That is completely different from what you've asked before.
> > You are right.
> > But it's soemtimes hard to decribe a desired and expected output in
> > python terms and pseudocode.
> > I still have to lern more numpy vocabs...
>
> Actually, I apologize. I meant to delete that line b
Hello Robert and Josef,
thanks for the quick answers! I really appreciate this.
>>> I am trying to create a inverse cumulative histogram [3] which shall
>>> look like [4] but with the higher values at the left.
>> Okay. That is completely different from what you've asked before.
You are right.
But
Hello fellow numy users,
I posted some questions on histograms recently [1, 2] but still couldn't
find a solution.
I am trying to create a inverse cumulative histogram [3] which shall
look like [4] but with the higher values at the left.
The classification shall follow this exemplary rule:
cl
Hello,
should creating a histogram with masked data be different that one cretated with
unmasked data?
Is np.hist tuned for work with historams?
I R_project I would do:
# Note: values is my dataset
### masking zeros
values_mask=ifelse(values==0, NA, (values))
# http://stat.ethz.ch/R-manual/R-pa
> But I completely agree with you, genfromtxt could print out
> the line number and the actual line giving problems.
Here we go:
http://projects.scipy.org/numpy/ticket/1212
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> $ awk -F '|' '{if(NF != 12) print NR;}' /tmp/pp.txt
> and besides the first 23 lines and the last 3 lines of the file,
> also the following have a number of '|' different from 11:
> 1635
> 2851
> 5538
> i.e. BIKIN, BENGUERIR and TERESINA AIRPORT.
Looks lika some bash magic.
I will try to transla
> Mmh, perhaps.
Thanks for the quick reply.
> I'll try to see what I can do. Usually, this message
> shows up when one of the lines you have read doesn't have the same
> number of columns as the others.
Could we add this error to the docstring?
As I suggested, It would be helpful to get the l
Hello,
I tried to load a ASCII table into a string array. Unfortunately, this table has
some empty chells
Here it is:
http://www.ncdc.noaa.gov/oa/climate/rcsg/cdrom/ismcs/alphanum.html
After having converted this into a text file I tried this:
$ np.genfromtxt('alphanum_to-text.txt', dtype=np.str
> Tim, do you mean, that you want to apply other functions, e.g. mean or
> variance, to the original values but calculated per bin?
Sorry that I forgot to add this. Shame.
I would like to apply these mathematical functions on the original values
stacked in the respective bins.
For in
Hello,
I need some advice on histograms.
If I interpret the documentation [1, 2] for numpy.histogram correctly, the
result of the function is a count of the occurences sorted into each bin.
(n, bins) = numpy.histogram(v, bins=50, normed=1)
But how can I apply another function on these values stac
> http://bibdesk.sourceforge.net/
I use JabRef for quite some time. Very nice and cross-platform. Good
interoperability with LyX.
If you
with MS or OOo, you'd go for Bibus.
Best regards,
Timmie
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ote to the
system administrators to try and get this fixed in the installation.
Thanks,
Tim
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uot;/site/python-2.5.2/lib/python2.5/pickle.py", line 1370, in load
return Unpickler(file).load()
File "/site/python-2.5.2/lib/python2.5/pickle.py", line 858, in load
dispatch[key](self)
File "/site/python-2.5.2/lib/python2.5/pickle.py",
5
I'm new to AIX, Python, and Numpy so I'm trying to learn a lot very
quickly. Any ideas for what could be causing this error? Any pointers
on where I can look to get some more information to diagnose the
problem? I'd be happy to provide any more data I can.
Thanks,
Tim
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to mention that I could not register the 1.3.0 release on pypi,
> as I don't have rights to the numpy project. The release is tagged, so
> it is just a matter of running python setup.py register for anyone with
> corresponding privileges on pypi's numpy project,
Sorry, I should have read here first
Hi,
My Python is Python 2.5.2 (r252:60911, Oct 5 2008, 19:24:49)
Here is the output:
>>> print numpy
>>> print numpy.__version__
1.1.1
Are these compatible with each other?
I just found the error goes away, after I restart my ubuntu 8.10.
Thanks,
-Tim
--- On Sun, 2/22/09, S
I think zeros belongs to Module numpy, and I import it in my function file
"trainer.py". So I was wonering what's the mistake I am making? Thanks for
help!
-Tim
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Hello William,
once again.
I just noticed that Resolver One can only import data from Excel.
In science, the common low level data exchange format is ASCII text
like: CSV or tab separated.
You may consider adding this.
I did not find any installation instructions contained in the docs for
the
Hello William,
> * A few performance improvements.
> * Over 900 NumPy tests now pass: in fact, almost all the tests from the
> core, fft, lib, linalg, ma, oldnumeric and random subpackages.
I have some questions here for the science interested. I hope that they
are not too specific:
* Can you a
Hello Allan, Stefan and others,
did you already come to a conclusion regarding this cite topic?
Did you try to run the bibtext extension for Sphinx?
If so, please update the documentation guidelines.
Regards,
Timmie
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Hello,
last year there has been a discussion on this on the OSGEO list about
the same issue.
You may check oggeo.discuss at Gmane or Nabble for it.
Kind regards,
Timmie
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> If I understand, you are using bib4txt.py to do this?
Yes, I use bib4txt.py.
The extension just runs bib4txt.py over all documents to extract the
citations. Then it creates the reference file.
The bibtex file is also converted to ReSt using your tools.
But since the bibstuff needs the citation
Hello,
I really like the discussion here.
> Originally I was just pointing out a problem.
> Proposing a good solution requires some discussion.
> The problem has also changed because of a suggestion
> that the docs should be usable for book compilation,
> and I am very uncertain how that is conce
>> I want to apply a function (myfunc which takes and returns a scalar) to each
>> element in a multi-dimensioned array (data):
>>
>> I can do this:
>>
>> newdata = numpy.array([myfunc(d) for d in data.flat]).reshape(data.shape)
>>
>> But I'm wondering if there's a faster more numpy way. I've looke
> A new copy of the reference guide is now available at
>
> http://mentat.za.net/numpy/refguide/
Very nice.
Will this be included in the main numpy distribution upon completion?
Thanks and appreciation for efforts.
Kind regards,
Timmie
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Hello,
sometime scripts and programs create a lot of data output.
For the programmer and also others not involved in the scripting but in the
evaluation of the output it would be very nice the output files could be
prepended with a file header describing what is written in the columns below and
to
Hello,
due to fixed release cycles Ubuntu 8.04 still lacks the latest numpy 1.1.
I succeeded backporting the package python-numpy from the upcoming
release Intrepid 8.10 with the help of the automatic tool Prevu.
Instructions can be found here:
* https://wiki.ubuntu.com/Prevu
* http://ubuntuforu
Hello,
how do I remove all rows (or column) from an array which contain a
certain value or sting?
some like:
array.delte_row_from_array_wich_contains('March')
array.delte_row_from_array_wich_contains(-333)
Is there also possibility to replace all occurences of a certain value
in a array by n
> This looks like something that need to go on a list for numpy 1.2. Can you
post a list of the specific problems that need to be addressed?Chuck
Maybe this post can give some hints:
All Things Pythonic
Python 3000 and You
by Guido van Rossum
March 17, 2008
Summary
I've posted the slides f
Hello,
I registered the Scipy and Numpy mailing lists at the Nabble Web Forums:
Scipy
http://www.nabble.com/Scipy-User-f33045.html
Numpy
http://www.nabble.com/Numpy-discussion-f33046.html
I still have to import the old emails from the archives.
Kind regards and happy communicating,
Tim
ple would be nice.
* How to I convert maskedarray (my_masked_array) to a array without
masked values?
Thanks in advance for your help,
Tim Michelsenholg
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> To learn array basics:
> http://pages.physics.cornell.edu/~myers/teaching/ComputationalMethods/python/arrays.html>
> http://www.scipy.org/Numpy_Example_List#head-a8a8874581c2ebfc69a37ab513974a229ff3bfaa>
> http://www.scipy.org/Numpy_Example_List#head-a261b8dd10bda6a5fc268fe4f4171acee2f83968>
> ht
Thanks for the responses,
http://code.enthought.com/enstaller/
I'll probably skip this. Although it looks like a useful tool, the computer /
Python 2.5 installation i'm "managing" isn't on the internet, so any
synchronisation or what not probably won't be possible there. ( i think that's
what
help or advice. Can't imaging i'll be having too much of
a contribution to this community, but will be interested to see what
sort of topics float through the NumPY world
with thanks
Tim - Adelaide, Australia.
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of how successful it was. If you do hear back from him I'd
be interested to know how successful this project is, as I'm always looking
for reasons to convert users in my astronomy department from things like IDL
on to python :-)
Cheers,
Tim Leslie
Cheers.
--
.~. Yannick COPIN
s a flag which makes
deleting this file optional (with delete=True being default). This
makes the svn version magic work for us and shouldn't break any
existing code for anyone, Is there any reason why this shouldn't go
in? I'm happy to make the checkin once it gets the OK from someone.
On 2/5/07, Tim Leslie <[EMAIL PROTECTED]> wrote:
> Hi All,
>
> As of svn revision 3530 N.nan_to_num no longer works for arrays of
> complex64. The actual error is raised in the signbit function, but I'm
> not sure why this is failing. If someone has a quick fix for this
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