ndim(obj)

Parameters

a : array_like

Input array. If it is not already an ndarray, a conversion is attempted.

Returns

number_of_dimensions : int

The number of dimensions in a. Scalars are zero-dimensional.

Return the number of dimensions of an array.

See Also

ndarray.ndim

equivalent method

ndarray.shape

dimensions of array

shape

dimensions of array

Examples

This example is valid syntax, but we were not able to check execution

>>> np.ndim([[1,2,3],[4,5,6]])
2

This example is valid syntax, but we were not able to check execution

>>> np.ndim(np.array([[1,2,3],[4,5,6]]))
2

This example is valid syntax, but we were not able to check execution

>>> np.ndim(1)
0

See :

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/ma/core.py#7228
type: <class 'function'>
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