[Numpy-discussion] vectorized function inside a class
mark
markbak at gmail.com
Wed Aug 8 11:37:09 EDT 2007
I am trying to figure out a way to define a vectorized function inside
a class.
This is what I tried:
class test:
def __init__(self):
self.x = 3.0
def func(self,y):
rv = self.x
if y > self.x: rv = y
return rv
f = vectorize(func)
>>> m = test()
>>> m.f( m, [-20,4,6] )
array([ 3., 4., 6.])
But as you can see, I can only call the m.f function when I also pass
it the instance m again.
I really want to call it as
m.f( [-20,4,6] )
But then I get an error
ValueError: mismatch between python function inputs and received
arguments
Any ideas how to do this better?
Mark
More information about the NumPy-Discussion
mailing list