frompyfunc(func, /, nin, nout, *[, identity])
Can be used, for example, to add broadcasting to a built-in Python function (see Examples section).
The returned ufunc always returns PyObject arrays.
An arbitrary Python function.
The number of input arguments.
The number of objects returned by :None:None:`func`.
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 a NumPy universal function ( ufunc
) object.
Takes an arbitrary Python function and returns a NumPy ufunc.
vectorize
Evaluates pyfunc over input arrays using broadcasting rules of numpy.
Use frompyfunc to add broadcasting to the Python function oct
:
>>> oct_array = np.frompyfunc(oct, 1, 1)
... oct_array(np.array((10, 30, 100))) array(['0o12', '0o36', '0o144'], dtype=object)
>>> np.array((oct(10), oct(30), oct(100))) # for comparison array(['0o12', '0o36', '0o144'], dtype='<U5')See :
The following pages refer to to this document either explicitly or contain code examples using this.
dask.array.ufunc.frompyfunc
numpy.vectorize
numpy.lib.function_base.vectorize.__call__
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