Defined in awkward.operations.ak_drop_none on line 18.

ak.drop_none(array, axis=None, highlevel=True, behavior=None, attrs=None)#
  • array – Data in which to remove Nones.

  • axis (None or int) – If None, the operation drops Nones at all levels of nesting, returning an array of the same dimension, but without Nones. Otherwise, it drops Nones at a specified depth. The outermost dimension is 0, followed by 1, etc., and negative values count backward from the innermost: -1 is the innermost dimension, -2 is the next level up, etc.

  • 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.

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

Removes missing values (None) from a given array.

For example, in the following array,

>>> array = ak.Array([[[0]], [[None]], [[1], None], [[2, None]]])

The None value will be removed, resulting in

>>> ak.drop_none(array)
<Array [[[0]], [[]], [[1]], [[2]]] type='4 * var * var * int64'>

The default axis is None, however an axis can be specified:

>>> ak.drop_none(array, axis=1)
<Array [[[0]], [[None]], [[1]], [[2, None]]] type='4 * var * var * ?int64'>