def prod(self, *, axis=None, skipna=True, min_count=0, **kwargs) -> Scalar:
nv.validate_prod((), kwargs)
result = nanops.nanprod(self._ndarray,
axis=axis,
skipna=skipna,
min_count=min_count)
return self._wrap_reduction_result(axis, result)
def prod(
self,
axis=None,
dtype=None,
out=None,
keepdims=False,
initial=None,
skipna=True,
min_count=0,
):
nv.validate_prod(
(), dict(dtype=dtype, out=out, keepdims=keepdims, initial=initial)
)
return nanops.nanprod(
self._ndarray, axis=axis, skipna=skipna, min_count=min_count
)
def prod(self, axis=None, dtype=None, out=None, keepdims=False,
initial=None, skipna=True, min_count=0):
nv.validate_prod((), dict(dtype=dtype, out=out, keepdims=keepdims,
initial=initial))
return nanops.nanprod(self._ndarray, axis=axis, skipna=skipna,
min_count=min_count)
def prod(self, axis=None, skipna=True, min_count=0, **kwargs) -> Scalar:
nv.validate_prod((), kwargs)
return nanops.nanprod(self._ndarray,
axis=axis,
skipna=skipna,
min_count=min_count)
