ak.nansum#

Defined in awkward.operations.ak_sum on line 221.

ak.nansum(array, axis=None, *, keepdims=False, mask_identity=False, flatten_records=unset, highlevel=True, behavior=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.

  • 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.

  • highlevel (bool) – If True, return an ak.Array; otherwise, return a low-level ak.contents.Content subclass.

  • behavior (None or dict) – Custom ak.behavior for the output array, if high-level.

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

Equivalent to

ak.sum(ak.nan_to_none(array))

with all other arguments unchanged.

See also ak.sum.