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)