[SciPy-user] LiberMate was Re: Automating Matlab
Mon Feb 23 22:15:52 CST 2009
Thanks everyone for you comments.
I will try to address them.
> * translation of integers to floats, e.g. for array indices or for arange
Rational for cast if int to float.
Matlab always uses float data type, for most expressions
format long e
This is mostly a problem for division, integer division would be used in some cases
yielding the wrong results. e.g.
would give 0 and not 0.5 as it does in Matlab. An alternative method would be
from __future__ import division
I think the best would be to have this be a command line option, so that various translation rules could be enabled or disabled.
> * multiplication of scalar with array is translated with dot, eg
> m: randn(n,k-1)*10 -> py: = dot(randn(n, k-1.), 10.)
Matrix multiplication in matlab is * -> dot in Numpy but with scalars should use more readable *
> string array in matlab came out as empty numpy array
> 'x1 ',
> 'x2 '];
> -> py:
> vnames = array(r_)
> Importing everything is a source of possible errors (e.g. pylab
> overwrites numpy names)
> from numpy import *
> import scipy
> # if available import pylab (from matlibplot)
> from pylab import *
> except ImportError:
need to cross reference numpy functions.
I've added the rest to tracker at SourceForge. Although, still learning to use Source forge tools.
More information about the SciPy-user