def median(
self, axis=None, out=None, overwrite_input=False, keepdims=False, skipna=True
):
nv.validate_median(
(), dict(out=out, overwrite_input=overwrite_input, keepdims=keepdims)
)
return nanops.nanmedian(self._ndarray, axis=axis, skipna=skipna)
def median(
self, *, axis=None, out=None, overwrite_input=False, keepdims=False, skipna=True
):
nv.validate_median(
(), {"out": out, "overwrite_input": overwrite_input, "keepdims": keepdims}
)
result = nanops.nanmedian(self._ndarray, axis=axis, skipna=skipna)
return self._wrap_reduction_result(axis, result)
def median(
self,
axis=None,
out=None,
overwrite_input: bool = False,
keepdims: bool = False,
skipna: bool = True,
):
nv.validate_median(
(), dict(out=out, overwrite_input=overwrite_input, keepdims=keepdims)
)
return nanops.nanmedian(self._data, axis=axis, skipna=skipna)
def median(self, axis=None, out=None, overwrite_input=False,
keepdims=False, skipna=True):
nv.validate_median((), dict(out=out, overwrite_input=overwrite_input,
keepdims=keepdims))
return nanops.nanmedian(self._ndarray, axis=axis, skipna=skipna)
