# numpy.vsplit¶

numpy.vsplit(ary, indices_or_sections)[source]

Split an array into multiple sub-arrays vertically (row-wise).

Please refer to the split documentation. vsplit is equivalent to split with axis=0 (default), the array is always split along the first 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.vsplit(x, 2)
[array([[ 0.,  1.,  2.,  3.],
[ 4.,  5.,  6.,  7.]]),
array([[  8.,   9.,  10.,  11.],
[ 12.,  13.,  14.,  15.]])]
>>> np.vsplit(x, np.array([3, 6]))
[array([[  0.,   1.,   2.,   3.],
[  4.,   5.,   6.,   7.],
[  8.,   9.,  10.,  11.]]),
array([[ 12.,  13.,  14.,  15.]]),
array([], dtype=float64)]
```

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

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

numpy.split

numpy.tile