numpy.dsplit

numpy.vsplit

# numpy.hsplit¶

`numpy.``hsplit`(ary, indices_or_sections)[source]

Split an array into multiple sub-arrays horizontally (column-wise).

Please refer to the `split` documentation. `hsplit` is equivalent to `split` with `axis=1`, the array is always split along the second axis regardless of the array dimension.

`split`
Split an array into multiple sub-arrays of equal size.

Examples

```>>> x = np.arange(16.0).reshape(4, 4)
>>> x
array([[  0.,   1.,   2.,   3.],
[  4.,   5.,   6.,   7.],
[  8.,   9.,  10.,  11.],
[ 12.,  13.,  14.,  15.]])
>>> np.hsplit(x, 2)
[array([[  0.,   1.],
[  4.,   5.],
[  8.,   9.],
[ 12.,  13.]]),
array([[  2.,   3.],
[  6.,   7.],
[ 10.,  11.],
[ 14.,  15.]])]
>>> np.hsplit(x, np.array([3, 6]))
[array([[  0.,   1.,   2.],
[  4.,   5.,   6.],
[  8.,   9.,  10.],
[ 12.,  13.,  14.]]),
array([[  3.],
[  7.],
[ 11.],
[ 15.]]),
array([], dtype=float64)]
```

With a higher dimensional array the split is still along the second axis.

```>>> x = np.arange(8.0).reshape(2, 2, 2)
>>> x
array([[[ 0.,  1.],
[ 2.,  3.]],
[[ 4.,  5.],
[ 6.,  7.]]])
>>> np.hsplit(x, 2)
[array([[[ 0.,  1.]],
[[ 4.,  5.]]]),
array([[[ 2.,  3.]],
[[ 6.,  7.]]])]
```