numpy.stack(arrays, axis=0, out=None)
[source]
Join a sequence of arrays along a new axis.
The axis
parameter specifies the index of the new axis in the dimensions of the result. For example, if axis=0
it will be the first dimension and if axis=1
it will be the last dimension.
New in version 1.10.0.
Parameters: 


Returns: 

See also
concatenate
split
block
>>> arrays = [np.random.randn(3, 4) for _ in range(10)] >>> np.stack(arrays, axis=0).shape (10, 3, 4)
>>> np.stack(arrays, axis=1).shape (3, 10, 4)
>>> np.stack(arrays, axis=2).shape (3, 4, 10)
>>> a = np.array([1, 2, 3]) >>> b = np.array([2, 3, 4]) >>> np.stack((a, b)) array([[1, 2, 3], [2, 3, 4]])
>>> np.stack((a, b), axis=1) array([[1, 2], [2, 3], [3, 4]])
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https://docs.scipy.org/doc/numpy1.17.0/reference/generated/numpy.stack.html