COO.transpose

COO.transpose(axes=None)[source]

Returns a new array which has the order of the axes switched.

Parameters

axes (Iterable[int], optional) – The new order of the axes compared to the previous one. Reverses the axes by default.

Returns

The new array with the axes in the desired order.

Return type

COO

See also

COO.T

A quick property to reverse the order of the axes.

numpy.ndarray.transpose()

Numpy equivalent function.

Examples

We can change the order of the dimensions of any COO array with this function.

>>> x = np.add.outer(np.arange(5), np.arange(5)[::-1])
>>> x  # doctest: +NORMALIZE_WHITESPACE
array([[4, 3, 2, 1, 0],
       [5, 4, 3, 2, 1],
       [6, 5, 4, 3, 2],
       [7, 6, 5, 4, 3],
       [8, 7, 6, 5, 4]])
>>> s = COO.from_numpy(x)
>>> s.transpose((1, 0)).todense()  # doctest: +NORMALIZE_WHITESPACE
array([[4, 5, 6, 7, 8],
       [3, 4, 5, 6, 7],
       [2, 3, 4, 5, 6],
       [1, 2, 3, 4, 5],
       [0, 1, 2, 3, 4]])

Note that by default, this reverses the order of the axes rather than switching the last and second-to-last axes as required by some linear algebra operations.

>>> x = np.random.rand(2, 3, 4)
>>> s = COO.from_numpy(x)
>>> s.transpose().shape
(4, 3, 2)