frompyfunc(func, /, nin, nout, *[, identity])

Some inconsistencies with the Dask version may exist.

Takes an arbitrary Python function and returns a NumPy ufunc.

Can be used, for example, to add broadcasting to a built-in Python function (see Examples section).

Notes

The returned ufunc always returns PyObject arrays.

Parameters

func : Python function object

An arbitrary Python function.

nin : int

The number of input arguments.

nout : int

The number of objects returned by func .

identity : object, optional

The value to use for the :None:None:`~numpy.ufunc.identity` attribute of the resulting object. If specified, this is equivalent to setting the underlying C identity field to PyUFunc_IdentityValue . If omitted, the identity is set to PyUFunc_None . Note that this is _not_ equivalent to setting the identity to None , which implies the operation is reorderable.

Returns

out : ufunc

Returns a NumPy universal function ( ufunc ) object.

This docstring was copied from numpy.frompyfunc.

See Also

vectorize

Evaluates pyfunc over input arrays using broadcasting rules of numpy.

Examples

Use frompyfunc to add broadcasting to the Python function oct :

This example is valid syntax, but we were not able to check execution

>>> oct_array = np.frompyfunc(oct, 1, 1)  # doctest: +SKIP
... oct_array(np.array((10, 30, 100)))  # doctest: +SKIP
array(['0o12', '0o36', '0o144'], dtype=object)

This example is valid syntax, but we were not able to check execution

>>> np.array((oct(10), oct(30), oct(100))) # for comparison  # doctest: +SKIP
array(['0o12', '0o36', '0o144'], dtype='<U5')

See :

Back References

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

dask.array.ufunc.da_frompyfunc

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