Managing high dimensions in Numpy -

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i want write function of 4 variables : f(x1,x2,x3,x4), each in different dimension.

this can achieved f(x1,x2[newaxis],x3[newaxis,newaxis],x4[newaxis,newaxis,newaxis]).

do know smarter way ?

you're looking np.ix_1:

f(*np.ix_(x1, x2, x3, x4))

for example:

>>> np.ix_([1, 2, 3], [4, 5]) (array([[1],         [2],         [3]]), array([[4, 5]]))

1or equivalently, np.meshgrid(..., sparse=true, indexing='ij')


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