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.
Best,
Paulo
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