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Class from which most (all?) numpy scalar types are derived. For consistency, exposes the same API as ndarray , despite many consequent attributes being either "get-only," or completely irrelevant. This is the class from which it is strongly suggested users should derive custom scalar types.

Base class for numpy scalar types.

Examples

See :

Back References

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

numpy.typing numpy.core._type_aliases

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/__init__.py#None
type: <class 'type'>
Commit: