size(a, axis=None)

Parameters

a : array_like

Input data.

axis : int, optional

Axis along which the elements are counted. By default, give the total number of elements.

Returns

element_count : int

Number of elements along the specified axis.

Return the number of elements along a given axis.

See Also

ndarray.shape

dimensions of array

ndarray.size

number of elements in array

shape

dimensions of array

Examples

>>> a = np.array([[1,2,3],[4,5,6]])
... np.size(a)
6

>>> np.size(a,1)
3

>>> np.size(a,0)
2

See :

Back References

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

numpy.polynomial._polybase.ABCPolyBase.truncate numpy.random._generator.Generator numpy.alen scipy.spatial._geometric_slerp.geometric_slerp numpy.random.mtrand.RandomState scipy.optimize._dual_annealing.dual_annealing

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

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GitHub : /numpy/core/fromnumeric.py#3206
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