ak.nanmax --------- .. py:module: ak.nanmax Defined in `awkward.operations.ak_max `__ on `line 87 `__. .. py:function:: ak.nanmax(array, axis=None, *, keepdims=False, initial=None, mask_identity=True, highlevel=True, behavior=None, attrs=None) :param array: Array-like data (anything :py:obj:`ak.to_layout` recognizes). :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 reducer decreases the number of dimensions by 1; if True, the reduced 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 initial: The minimum value of an output element, as an alternative to the numeric type's natural identity (e.g. negative infinity for floating-point types, a minimum integer for integer types). If you use ``initial``, you might also want ``mask_identity=False``. :type initial: None or number :param mask_identity: If True, reducing over empty lists results in None (an option type); otherwise, reducing over empty lists results in the operation's identity. :type mask_identity: bool Like :py:obj:`ak.max`, but treating NaN ("not a number") values as missing. Equivalent to .. code-block:: python ak.max(ak.nan_to_none(array)) with all other arguments unchanged. See also :py:obj:`ak.max`.