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load_library(libname, loader_path)
>>> lib = ctypes.cdll[<full_path_name>] # doctest: +SKIP

But there are cross-platform considerations, such as library file extensions, plus the fact Windows will just load the first library it finds with that name. NumPy supplies the load_library function as a convenience.

versionchanged

Allow libname and loader_path to take any :None:term:`python:path-like object`.

Parameters

libname : path-like

Name of the library, which can have 'lib' as a prefix, but without an extension.

loader_path : path-like

Where the library can be found.

Raises

OSError

If there is no library with the expected extension, or the library is defective and cannot be loaded.

Returns

ctypes.cdll[libpath] : library object

A ctypes library object

It is possible to load a library using

Examples

See :

Back References

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

numpy.ctypeslib

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/ctypeslib.py#90
type: <class 'function'>
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