ak.nanstd --------- .. py:module: ak.nanstd Defined in `awkward.operations.ak_std `__ on `line 95 `__. .. py:function:: ak.nanstd(x, weight=None, ddof=0, axis=None, *, keepdims=False, mask_identity=True, highlevel=True, behavior=None, attrs=None) :param x: The data on which to compute the standard deviation (anything :py:obj:`ak.to_layout` recognizes). :param weight: Data that can be broadcasted to ``x`` to give each value a weight. Weighting values equally is the same as no weights; weighting some values higher increases the significance of those values. Weights can be zero or negative. :param ddof: "delta degrees of freedom": the divisor used in the calculation is ``sum(weights) - ddof``. Use this for "reduced standard deviation." :type ddof: int :param axis: If None, combine all values from the array into a single scalar result; if an int, group by that axis: ``0`` is the outermost, ``1`` is the first level of nested lists, etc., and negative ``axis`` counts from the innermost: ``-1`` is the innermost, ``-2`` is the next level up, etc. :type axis: None or int :param keepdims: If False, this function decreases the number of dimensions by 1; if True, the output values are wrapped in a new length-1 dimension so that the result of this operation may be broadcasted with the original array. :type keepdims: bool :param mask_identity: If True, the application of this function on empty lists results in None (an option type); otherwise, the calculation is followed through with the reducers' identities, usually resulting in floating-point ``nan``. :type mask_identity: bool :param highlevel: If True, return an :py:obj:`ak.Array`; otherwise, return a low-level :py:obj:`ak.contents.Content` subclass. :type highlevel: bool :param behavior: Custom :py:obj:`ak.behavior` for the output array, if high-level. :type behavior: None or dict :param attrs: Custom attributes for the output array, if high-level. :type attrs: None or dict Like :py:obj:`ak.std`, but treating NaN ("not a number") values as missing. Equivalent to .. code-block:: python ak.std(ak.nan_to_none(array)) with all other arguments unchanged. See also :py:obj:`ak.std`.