numpy.nested_iters¶

numpy.nested_iters()¶

Create nditers for use in nested loops

Create a tuple ofnditer objects which iterate in nested loops overdifferent axes of the op argument. The first iterator is used in theoutermost loop, the last in the innermost loop. Advancing one will changethe subsequent iterators to point at its new element.

Parameters:	op:ndarray or sequence of array_like The array(s) to iterate over. axes:list of list of int Each item is used as an “op_axes” argument to an nditer flags, op_flags, op_dtypes, order, casting, buffersize (optional) Seenditer parameters of the same name
Returns:	iters:tuple of nditer An nditer for each item inaxes, outermost first

See also

nditer

Examples

Basic usage. Note how y is the “flattened” version of[a[:, 0, :], a[:, 1, 0], a[:, 2, :]] since we specifiedthe first iter’s axes as [1]

>>>a=np.arange(12).reshape(2,3,2)>>>i,j=np.nested_iters(a,[[1],[0,2]],flags=["multi_index"])>>>forxini:...print(i.multi_index)...foryinj:...print('',j.multi_index,y)

(0,)

(0, 0) 0(0, 1) 1(1, 0) 6(1, 1) 7

(1,)

(0, 0) 2(0, 1) 3(1, 0) 8(1, 1) 9

(2,)

(0, 0) 4(0, 1) 5(1, 0) 10(1, 1) 11