ak.partitioned
--------------

Defined in `awkward.operations.structure <https://github.com/scikit-hep/awkward-1.0/blob/80bbef0738a6b7928333d7c705ee1b359991de5b/src/awkward/operations/structure.py>`__ on `line 3933 <https://github.com/scikit-hep/awkward-1.0/blob/80bbef0738a6b7928333d7c705ee1b359991de5b/src/awkward/operations/structure.py#L3933>`__.

.. py:function:: ak.partitioned(arrays, highlevel=True, behavior=None)


    :param arrays: The arrays to logically concatenate into a
               single partitioned array.
    :type arrays: list of arrays
    :param highlevel: If True, return an :py:obj:`ak.Array`; otherwise, return
                  a low-level :py:obj:`ak.layout.Content` or :py:obj:`ak.partition.PartitionedArray`
                  subclass.
    :type highlevel: bool
    :param behavior: Custom :py:obj:`ak.behavior` for the output array, if
                 high-level.
    :type behavior: None or dict

Returns the logical concatenation of ``arrays`` as a partitioned array.

Partitioning is an internal aspect of an array: it should behave
identically to a non-partitioned array, but possibly with different
performance characteristics.

Arrays can only be partitioned in the first dimension; it is intended
for performing calculations in memory-sized chunks.

