Re: [Numpy-discussion] IDE's for numpy development?
Sorry for the OT and top-posting but, It reminds me of ITex (https://www.youtube.com/watch?v=eKaI78K_rgA) ... On Wed, Apr 1, 2015 at 6:43 PM, Yuxiang Wang yw...@virginia.edu wrote: That would really be hilarious - and IFortran probably! :) Shawn On Wed, Apr 1, 2015 at 12:07 PM, Benjamin Root ben.r...@ou.edu wrote: mixed C and python development? I would just wait for the Jupyter folks to create IC and maybe even IC++! On Wed, Apr 1, 2015 at 12:04 PM, Charles R Harris charlesr.har...@gmail.com wrote: Hi All, In a recent exchange Mark Wiebe suggested that the lack of support for numpy development in Visual Studio might limit the number of developers attracted to the project. I'm a vim/console developer myself and make no claim of familiarity with modern development tools, but I wonder if such tools might now be available for Numpy. A quick google search turns up a beta plugin for Visual Studio,, and there is an xcode IDE for the mac that apparently offers some Python support. The two things that I think are required are: 1) support for mixed C, python developement and 2) support for building and testing numpy. I'd be interested in information from anyone with experience in using such an IDE and ideas of how Numpy might make using some of the common IDEs easier. Thoughts? Chuck ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion -- Yuxiang Shawn Wang Gerling Research Lab University of Virginia yw...@virginia.edu +1 (434) 284-0836 https://sites.google.com/a/virginia.edu/yw5aj/ ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] 100 Numpy exercices
It doesn't use stride_tricks, and seberg doesn't quite like it, but this made the rounds in StackOverflow a couple of years ago: http://stackoverflow.com/questions/16970982/find-unique-rows-in-numpy-array/16973510#16973510 It may not work properly on floats, but I think it is a very cool use of dtypes. Then again I'm obviously biased... I remained astonished when I discovered this trick just the day before Nicolas posted about his amazing contribution and for my use case (int matrices) it is working perfectly ... another candy, again from you Jaime is the fast moving average in: http://stackoverflow.com/a/14314054 but at a much lower ranking respect to the previous one :P . Let me thank you all a lot for making the life of mine and many others easier sharing your knowledge. Cheers, Eraldo ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] getting the equivalent complex dtype from a real or int array
We really ought to have a special page for all of Robert's little gems! I'm totally in favor or having that page. In my gmail account almost every Robert's answer gets a star!!! Maybe one day I'll try to put them together. Cheers, EP ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] Array accumulation in numpy
Dear Tony, I would suggest to look at this post already mentioned by Benjamin . maybe it fits with your needs! http://numpy-discussion.10968.n7.nabble.com/Pre-allocate-array-td4870.html Cheers, Eraldo On Tue, Feb 19, 2013 at 4:24 PM, Tony Ladd tl...@che.ufl.edu wrote: Thanks to all for a very quick response. np.bincount does what I need. Tony On 02/19/2013 10:04 AM, Benjamin Root wrote: On Tue, Feb 19, 2013 at 10:00 AM, Tony Ladd tl...@che.ufl.edu mailto: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): f[ind[i]]=f[ind[i]]+x[i] The answer is f=array([ 0., 7., 0., 6., 5., 0., 0., 0., 0., 3.]) When I try to use implicit arguments f[ind]=f[ind]+x I get f=array([ 0., 6., 0., 4., 5., 0., 0., 0., 0., 3.]) So it takes the last value of x that is pointed to by ind and adds it to f, but its the wrong answer when there are repeats of the same entry in ind (e.g. 3 or 1) I realize my code is incorrect, but is there a way to make numpy accumulate without using loops? I would have thought so but I cannot find anything in the documentation. Would much appreciate any help - probably a really simple question. Thanks Tony I believe you are looking for the equivalent of accumarray in Matlab? Try this: http://www.scipy.org/Cookbook/AccumarrayLike It is a bit touchy about lists and 1-D numpy arrays, but it does the job. Also, I think somebody posted an optimized version for simple sums recently to this list. Cheers! Ben Root ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion -- Tony Ladd Chemical Engineering Department University of Florida Gainesville, Florida 32611-6005 USA Email: tladd-(AT)-che.ufl.edu Webhttp://ladd.che.ufl.edu Tel: (352)-392-6509 FAX: (352)-392-9514 ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] scipy installation problem
Dear Alexe, I'm not sure I understood what you mean by install like Ralf. However, I would also suggest, if you are using Eclipse and PyDev, (after installing new modules) to remove the current python interpreter (from Eclipse options) and then re-add it so that the whole pythonpath will be re-scanned and you will not see any red underline (with the msg: module not found) in your python editor. Cheers, Eraldo On Wed, Dec 14, 2011 at 10:52 PM, Ralf Gommers ralf.gomm...@googlemail.comwrote: On Wed, Dec 14, 2011 at 10:38 PM, Alex Ter-Sarkissov ater1...@gmail.comwrote: I'm using Eclipse (PyDev) on MacOS. I downloaded scipy010, installed it and added path to .mpkg file to PYTHONPATH and scipy to forced built-in. Nothing worked, I keep getting 'module scipy not found'. I then removed the link to the .mpkg and still nothing works. Strange enough, numpy works just fine. What should I do? Not sure what you mean by install here, but you're supposed to double-click the mpkg installer to run it, not put it on your PYTHONPATH. Note that to use the provided dmg installer, you have to also use the matching python from python.org Ralf ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] numpy.mean problems
Hi Fred,
I would suggest you to have a look at pandas (http://pandas.sourceforge.net/)
. It was
really helpful for me. It seems well suited for the type of data that you
are working
with. It has nice brodcasting capabilities to apply numpy functions to a
set column.
http://pandas.sourceforge.net/basics.html#descriptive-statistics
http://pandas.sourceforge.net/basics.html#function-application
Cheers,
Eraldo
On Sun, Dec 11, 2011 at 1:49 PM, ferreirafm ferreir...@lim12.fm.usp.brwrote:
Aronne Merrelli wrote:
I can recreate this error if tab is a structured ndarray - what is the
dtype of tab?
If that is correct, I think you could fix this by simplifying things.
Since
tab is already an ndarray, you should not need to convert it back into a
python list. By converting the ndarray back to a list you are making an
extra level of wrapping as a python object, which is ultimately why you
get that error about adding numpy.void.
Unfortunately you cannot take directly take a mean of a struct dtype;
structs are generic so they could have fields with strings, or objects,
etc, that would be invalid for a mean calculation. However the following
code fragment should work pretty efficiently. It will make a 1-element
array of the same dtype as tab, and then populate it with the mean value
of
all elements where the length is = 15. Note that dtype.fields.keys()
gives
you a nice way to iterate over the fields in the struct dtype:
length_mask = tab['length'] = 15
tab_means = np.zeros(1, dtype=tab.dtype)
for k in tab.dtype.fields.keys():
tab_means[k] = np.mean( tab[k][mask] )
In general this would not work if tab has a field that is not a simple
numeric type, such as a str, object, ... But it looks like your arrays
are
all numeric from your example above.
Hope that helps,
Aronne
HI Aronne,
Thanks for your replay. Indeed, tab is a mix of different column types:
tab.dtype:
[('sgi', 'i8'), ('length', 'i8'), ('nident', 'i8'), ('pident', 'f8'),
('positive', 'i8'), ('ppos', 'f8'), ('mismatch', 'i8'), ('qstart',
'i8'), ('qend', 'i8'), ('sstart', 'i8'), ('send', 'i8'), ('gapopen',
'i8'), ('gaps', 'i8'), ('evalue', 'f8'), ('bitscore', 'f8'), ('score',
'f8')]
Interestingly, I couldn't be able to import some columns of digits as
strings like as with R dataframe objects.
I'll try to adapt your example to my needs and let you know the results.
Regards.
--
View this message in context:
http://old.nabble.com/numpy.mean-problems-tp32945124p32955052.html
Sent from the Numpy-discussion mailing list archive at Nabble.com.
___
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
http://mail.scipy.org/mailman/listinfo/numpy-discussion
___
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] numpy.mean problems
Hi Fred, Pandas has a nice interface to PyTable if you still need it: http://pandas.sourceforge.net/io.html#hdf5-pytables However, my intention was just to point you to pandas because it is really a powerful tool if you need to deal with tabular heterogenic data. It is also important to notice that there are plans in the numpy community to include/port part of this package directly in the codebase. This says a lot about how good it is... Best, Eraldo On Tue, Dec 13, 2011 at 9:01 PM, ferreirafm ferreir...@lim12.fm.usp.brwrote: Hi Eraldo, Thanks for your suggestion. I was using pytables but give up after known that some very useful capabilities are sold as a professional package. However, it still useful to many printing and data manipulation and, also, it can handle extremely large datasets (which is not my case.). Regards, Fred Eraldo Pomponi wrote: I would suggest you to have a look at pandas (http://pandas.sourceforge.net/) . It was really helpful for me. It seems well suited for the type of data that you are working with. It has nice brodcasting capabilities to apply numpy functions to a set column. http://pandas.sourceforge.net/basics.html#descriptive-statistics http://pandas.sourceforge.net/basics.html#function-application Cheers, Eraldo -- View this message in context: http://old.nabble.com/numpy.mean-problems-tp32945124p32970295.html Sent from the Numpy-discussion mailing list archive at Nabble.com. ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
