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numpy.lib is mostly a space for implementing functions that don't belong in core or in another NumPy submodule with a clear purpose (e.g. random , fft , linalg , ma ).

Most contains basic functions that are used by several submodules and are useful to have in the main name-space.

Note: almost all functions in the numpy.lib namespace are also present in the main numpy namespace. Please use the functions as np.<funcname> where possible.

Note: almost all functions in the numpy.lib namespace are also present in the main numpy namespace. Please use the functions as np.<funcname> where possible.

numpy.lib is mostly a space for implementing functions that don't belong in core or in another NumPy submodule with a clear purpose (e.g. random , fft , linalg , ma ).

Most contains basic functions that are used by several submodules and are useful to have in the main name-space.

Examples

See :

Back References

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

numpy.testing._private.utils.rundocs dask.array.chunk_types.register_chunk_type

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/__init__.py#0
type: <class 'module'>
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