[Numpy-discussion] Array of Callables

[Andrew Corrigan]

Anne Archibald <peridot.faceted <at> gmail.com> writes:

> Vectorizing apply is what you're looking for, by the sound of it:
> In [13]: a = array([lambda x: x**2, lambda x: x**3])
> 
> In [14]: b = arange(5)
> 
> In [15]: va = vectorize(lambda f, x: f(x))
> 
> In [16]: va(a[:,newaxis],b[newaxis,:])
> Out[16]:
> array([[ 0,  1,  4,  9, 16],
>        [ 0,  1,  8, 27, 64]])


Thanks for pointing that out.  Technically that works, but it doesn't really
express this operation as concisely and as naturally as I'd like to be able to.  

What I really want is to be able to write:

>>> a = array([lambda x: x**2, lambda x: x**3])
>>> b = arange(5)
>>> a(b)

and get:
array([[ 0,  1,  4,  9, 16],
       [ 0,  1,  8, 27, 64]])

instead of the present error message:
Traceback (most recent call last):
  File "<stdin>", line 1, in ?
TypeError: 'numpy.ndarray' object is not callable