On 2/6/07, Paulo J. S. Silva <[EMAIL PROTECTED]> wrote: > Em Dom, 2007-02-04 às 17:28 -0800, Keith Goodman escreveu: > > > Could numpy.matlib get the same functions as numpy? Would that have to > > be done with a manually maintained import list? > > I always use "import numpy.matlib as M" and then search for function > > names in ipython (M.a[TAB]). I didn't realize that some functions are > > missing. > > As the list knows, I am trying to build a special module that can > convert any other module to behave nicely with matrices. I have special > interest in using it as an interface to scipy modules that may return > arrays when given a matrix. This effort let me to learn some tricks > about modules imports in Python. > > I believe that if you add the following code to the end of matlib.py > file it will behave just like you want without any manual intervention: > > --- Start Python code --- > > import inspect > import matlib as M > for i in dir(N): > attribute = getattr(N, i) > if type(attribute) is N.ufunc or inspect.isroutine(attribute): > try: > getattr(M, i) > except AttributeError: > setattr(M, i, attribute) > > --- End Python code --- > > Here is an ipython session: > > --- ipython session --- > > In [1]:import numpy.matlib as M > > In [2]:M.abs > Out[2]:<ufunc 'absolute'> > > --- End of ipython sesssion --- > > By the way, there were only four functions that are missing without this > code: abs, max, min, and round. You can see this by adding a "print i" > in the except block above. > > If the list thinks this code is useful, I am donating it to numpy.
That is great. I could think of a few uses for abs, max, min, and round. So I would like to see them imported. BTW, why can I do x.max() x.min() x.round() but not x.abs()? _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
