Re: [Numpy-discussion] NaN (Not a Number) occurs in calculation of complex number for Bessel functions

2012-12-21 Thread Lev Givon
Received from Pauli Virtanen on Fri, Dec 21, 2012 at 08:59:02AM EST: > Dag Sverre Seljebotn astro.uio.no> writes: > [clip] > > Do you have an implemention of the Bessel functions that work as you > > wish in C or Fortran? If so, that could be wrapped and called from Python. > > For spherical Bes

Re: [Numpy-discussion] magma?

2011-11-18 Thread Lev Givon
Received from Robert Kern on Fri, Nov 18, 2011 at 08:38:48AM EST: > On Fri, Nov 18, 2011 at 13:12, Neal Becker wrote: > > Is there any possibility of incorporating this work into numpy? > > > > http://icl.cs.utk.edu/magma/software/index.html > > Into numpy itself? Very low probability, I think. T

Re: [Numpy-discussion] ndarray display in ipython

2011-06-12 Thread Lev Givon
Received from Chao YUE on Sun, Jun 12, 2011 at 08:10:41AM EDT: > Dear all pythoners, > > Does anybody know how I can choose the default display style for the data? > like in the following case, the data are display in a scientific notation if > they are ver small. > another question is, the displa

Re: [Numpy-discussion] Faster NaN functions

2010-12-31 Thread Lev Givon
Received from Erik Rigtorp on Fri, Dec 31, 2010 at 08:52:53AM EST: > Hi, > > I just send a pull request for some faster NaN functions, > https://github.com/rigtorp/numpy. > > I implemented the following generalized ufuncs: nansum(), nancumsum(), > nanmean(), nanstd() and for fun mean() and std().

Re: [Numpy-discussion] arrays comparison issue

2009-11-04 Thread Lev Givon
Received from Jean-Luc Menut on Wed, Nov 04, 2009 at 09:52:15AM EST: > Hello all, > > > > If if define 2 variables a and b by doing the following : > > on [5]: a > Out[5]: array([ 1.7]) > > In [6]: b=array([0.8])+array([0.9]) > > In [7]: b > Out[7]: array([ 1.7]) > > > if I test the equalit

Re: [Numpy-discussion] Fwd: GPU Numpy

2009-09-09 Thread Lev Givon
Received from Francesc Alted on Wed, Sep 09, 2009 at 05:18:48AM EDT: (snip) > The point here is that matrix-matrix multiplications (or, in general, > functions with a large operation/element ratio) are a *tiny* part of all the > possible operations between arrays that NumPy supports. This is w