python - Numpy vectorize and atomic vectors -


i implement function works numpy.sum function on arrays on expects, e.g. np.sum([2,3],1) = [3,4] , np.sum([1,2],[3,4]) = [4,6].

yet trivial test implementation behaves somehow awkward: 

import numpy np  def triv(a, b): return a, b  triv_vec = np.vectorize(fun, otypes = [np.int]) triv_vec([1,2],[3,4])

with result:

array([0, 0])

rather desired result:

array([[1,3], [2,4]])

any ideas, going on here? thx

you need otypes=[np.int,np.int]:

triv_vec = np.vectorize(triv, otypes=[np.int,np.int]) print triv_vec([1,2],[3,4]) (array([1, 2]), array([3, 4]))

otypes : str or list of dtypes, optional

the output data type. must specified either string of typecode characters or list of data type specifiers. there should 1 data type specifier each output.


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