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This module is deprecated. Instead of importing functions from numpy.dual , the functions should be imported directly from NumPy or SciPy.

Aliases for functions which may be accelerated by SciPy.

:None:None:`SciPy_` can be built to use accelerated or otherwise improved libraries for FFTs, linear algebra, and special functions. This module allows developers to transparently support these accelerated functions when SciPy is available but still support users who have only installed NumPy.

            <Unimplemented 'target' '.. _SciPy : https://www.scipy.org'>
           
deprecated
deprecated

This module is deprecated. Instead of importing functions from numpy.dual , the functions should be imported directly from NumPy or SciPy.

Aliases for functions which may be accelerated by SciPy.

:None:None:`SciPy_` can be built to use accelerated or otherwise improved libraries for FFTs, linear algebra, and special functions. This module allows developers to transparently support these accelerated functions when SciPy is available but still support users who have only installed NumPy.

            <Unimplemented 'target' '.. _SciPy : https://www.scipy.org'>
           

Examples

See :

Back References

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

numpy

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