numpy.ufunc.outer — NumPy v2.5.dev0 Manual (original) (raw)

method

ufunc.outer(A, B, /, **kwargs)#

Apply the ufunc op to all pairs (a, b) with a in A and b in B.

Let M = A.ndim, N = B.ndim. Then the result, C, ofop.outer(A, B) is an array of dimension M + N such that:

\[C[i_0, ..., i_{M-1}, j_0, ..., j_{N-1}] = op(A[i_0, ..., i_{M-1}], B[j_0, ..., j_{N-1}])\]

For A and B one-dimensional, this is equivalent to:

r = empty(len(A),len(B)) for i in range(len(A)): for j in range(len(B)): r[i,j] = op(A[i], B[j]) # op = ufunc in question

Parameters:

Aarray_like

First array

Barray_like

Second array

kwargsany

Arguments to pass on to the ufunc. Typically dtype or out. See ufunc for a comprehensive overview of all available arguments.

Returns:

rndarray

Output array