See Also

as_array

Create an ndarray from a ctypes array.

as_ctypes

Create a ctypes array from an ndarray.

load_library

Load a C library.

ndpointer

Array restype/argtype with verification.

``ctypes`` Utility Functions

See Also

We wrap it using:

>>> _lib.foo_func.restype = None                      #doctest: +SKIP
>>> _lib.foo_func.argtypes = [array_1d_double, c_int] #doctest: +SKIP

Then, we're ready to call foo_func :

>>> out = np.empty(15, dtype=np.double)
>>> _lib.foo_func(out, len(out))                #doctest: +SKIP

Examples

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