ak.nanmax#

ak.nanmax(array, axis=None, *, keepdims=False, initial=None, mask_identity=True, highlevel=True, behavior=None, attrs=None)#

Parameters:

array – Array-like data (anything ak.to_layout recognizes).
axis (None or int) – 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.
keepdims (bool) – 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.
initial (None or number) – 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.
mask_identity (bool) – If True, reducing over empty lists results in None (an option type); otherwise, reducing over empty lists results in the operation’s identity.

Like ak.max, but treating NaN (“not a number”) values as missing.

Equivalent to

ak.max(ak.nan_to_none(array))

with all other arguments unchanged.