nlcpy.split

nlcpy.split(ary, indices_or_sections, axis=0)

Splits an array into multiple sub-arrays.

Parameters

aryndarray

Array to be divided into sub-arrays.

indices_or_sectionsint or 1-D array

If indices_or_sections is an integer, N, the array will be divided into N equal arrays along axis. If such a split is not possible, an error is raised. If indices_or_sections is a 1-D array of sorted integers, the entries indicate where along axis the array is split. For example, [2, 3] would, for axis=0, result in

• ary[:2]

• ary[2:3]

• ary[3:]

If an index exceeds the dimension of the array along axis, an empty sub-array is returned correspondingly.

axisint, optional

The axis along which to split, default is 0.

Returns

A list of sub-arrays.

See also

hsplit

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

vsplit

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

concatenate

Joins a sequence of arrays along an existing axis.

stack

Joins a sequence of arrays along a new axis.

hstack

Stacks arrays in sequence horizontally (column wise).

vstack

Stacks arrays in sequence vertically (row wise).

Examples

>>> import nlcpy as vp
>>> x = vp.arange(9.0)
>>> vp.split(x, 3)
[array([0., 1., 2.]), array([3., 4., 5.]), array([6., 7., 8.])]

>>> x = vp.arange(6)
>>> vp.split(x, [3, 4, 7])
[array([0, 1, 2]), array([3]), array([4, 5]), array([], dtype=int64)]