ak.drop_none
------------

.. py:module: ak.drop_none

Defined in `awkward.operations.ak_drop_none <https://github.com/scikit-hep/awkward/blob/76cb66b946cbf2ae355bddf2530b323465395bae/src/awkward/operations/ak_drop_none.py>`__ on `line 18 <https://github.com/scikit-hep/awkward/blob/76cb66b946cbf2ae355bddf2530b323465395bae/src/awkward/operations/ak_drop_none.py#L18>`__.

.. py:function:: ak.drop_none(array, axis=None, highlevel=True, behavior=None, attrs=None)


    :param array: Data in which to remove Nones.
    :param axis: 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.
    :type axis: None or int
    :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

Removes missing values (None) from a given array.

For example, in the following ``array``,

.. code-block:: python


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

The None value will be removed, resulting in

.. code-block:: python


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

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

.. code-block:: python


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