numpy 1.22.4 Pypi GitHub Homepage
Other Docs
ParametersRaisesReturnsBackRef
split(ary, indices_or_sections, axis=0)

Parameters

ary : ndarray

Array to be divided into sub-arrays.

indices_or_sections : int or 1-D array

If :None:None:`indices_or_sections` is an integer, N, the array will be divided into N equal arrays along :None:None:`axis`. If such a split is not possible, an error is raised.

If :None:None:`indices_or_sections` is a 1-D array of sorted integers, the entries indicate where along :None:None:`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 :None:None:`axis`, an empty sub-array is returned correspondingly.

axis : int, optional

The axis along which to split, default is 0.

Raises

ValueError

If :None:None:`indices_or_sections` is given as an integer, but a split does not result in equal division.

Returns

sub-arrays : list of ndarrays

A list of sub-arrays as views into :None:None:`ary`.

Split an array into multiple sub-arrays as views into :None:None:`ary`.

See Also

array_split

Split an array into multiple sub-arrays of equal or near-equal size. Does not raise an exception if an equal division cannot be made.

concatenate

Join a sequence of arrays along an existing axis.

dsplit

Split array into multiple sub-arrays along the 3rd axis (depth).

dstack

Stack arrays in sequence depth wise (along third dimension).

hsplit

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

hstack

Stack arrays in sequence horizontally (column wise).

stack

Join a sequence of arrays along a new axis.

vsplit

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

vstack

Stack arrays in sequence vertically (row wise).

Examples

>>> x = np.arange(9.0)
... np.split(x, 3) [array([0., 1., 2.]), array([3., 4., 5.]), array([6., 7., 8.])]
>>> x = np.arange(8.0)
... np.split(x, [3, 5, 6, 10]) [array([0., 1., 2.]), array([3., 4.]), array([5.]), array([6., 7.]), array([], dtype=float64)]
See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

numpy.ma.extras.hsplit numpy.hsplit numpy.stack numpy.vsplit numpy.ma.extras.stack numpy.concatenate numpy.core._multiarray_umath.concatenate numpy.char.rsplit numpy.array_split numpy.dsplit

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


GitHub : /numpy/lib/shape_base.py#799
type: <class 'function'>
Commit: