Split array into multiple sub-arrays horizontally.
Please refer to the numpy.split documentation. hsplit is equivalent to numpy.split with axis = 1.
See also
Notes
The function is applied to both the _data and the _mask, if any.
Examples
>>> x = np.arange(16.0).reshape(4, 4)
>>> np.hsplit(x, 2)
<BLANKLINE>
[array([[ 0., 1.],
[ 4., 5.],
[ 8., 9.],
[ 12., 13.]]),
array([[ 2., 3.],
[ 6., 7.],
[ 10., 11.],
[ 14., 15.]])]
>>> np.hsplit(x, array([3, 6]))
<BLANKLINE>
[array([[ 0., 1., 2.],
[ 4., 5., 6.],
[ 8., 9., 10.],
[ 12., 13., 14.]]),
array([[ 3.],
[ 7.],
[ 11.],
[ 15.]]),
array([], dtype=float64)]