mars.tensor.union1d#

mars.tensor.union1d(ar1, ar2, aggregate_size=None)[source]#

Find the union of two tensors.

Return the unique, sorted tensor of values that are in either of the two input tensors.

Parameters

  • ar1 (array_like) – Input tensors. They are flattened if they are not already 1D.

  • ar2 (array_like) – Input tensors. They are flattened if they are not already 1D.

Returns

union1d – Unique, sorted union of the input tensors.

Return type

Tensor

Examples

>>> import mars.tensor as mt

>>> mt.union1d([-1, 0, 1], [-2, 0, 2]).execute()
array([-2, -1,  0,  1,  2])

To find the union of more than two arrays, use functools.reduce:

>>> from functools import reduce
>>> reduce(mt.union1d, ([1, 3, 4, 3], [3, 1, 2, 1], [6, 3, 4, 2])).execute()
array([1, 2, 3, 4, 6])