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

.. py:module: ak.drop_none

Defined in `awkward.operations.ak_drop_none <https://github.com/scikit-hep/awkward/blob/3fb10da4090fd281f143dcc9decf48e914342379/src/awkward/operations/ak_drop_none.py>`__ on `line 22 <https://github.com/scikit-hep/awkward/blob/3fb10da4090fd281f143dcc9decf48e914342379/src/awkward/operations/ak_drop_none.py#L22>`__.

.. 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.
             If an int, the depth at which to drop Nones.
             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.
             If a str, it is interpreted as the name of the axis which maps to
             an int if named axes are present.
             Named axes are attached to an array using :py:obj:`ak.with_named_axis` and
             removed with :py:obj:`ak.without_named_axis`; also see the
             `Named axes user guide <../../user-guide/how-to-array-properties-named-axis.html>`__.
    :type axis: None or int or str
    :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'>