ak.from_rdataframe
------------------

.. py:module: ak.from_rdataframe

Defined in `awkward.operations.ak_from_rdataframe <https://github.com/scikit-hep/awkward/blob/e9dd2694cf5c6ccb1717358fe926816d8ecbfb9c/src/awkward/operations/ak_from_rdataframe.py>`__ on `line 15 <https://github.com/scikit-hep/awkward/blob/e9dd2694cf5c6ccb1717358fe926816d8ecbfb9c/src/awkward/operations/ak_from_rdataframe.py#L15>`__.

.. py:function:: ak.from_rdataframe(rdf, columns, *, keep_order=False, offsets_type='int64', with_name=None, highlevel=True, behavior=None, attrs=None)


    :param rdf: ROOT RDataFrame to convert into an
            Awkward Array.
    :type rdf: ``ROOT.RDataFrame``
    :param columns: A column or multiple columns to be
                converted to Awkward Array.
    :type columns: str or iterable of str
    :param keep_order: If set to ``True`` the columns with Awkward type will
                   keep order after filtering.
    :type keep_order: bool
    :param offsets_type: A ``NumpyType.primitive`` type of the ListOffsetArray
                     offsets: ``"int32"``, ``"uint32"`` or ``"int64"``.
    :type offsets_type: str
    :param with_name: Gives tuples and records a name that can be
                  used to override their behavior (see :py:obj:`ak.Array`).
    :type with_name: None 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

Converts ROOT RDataFrame columns into an Awkward Array.

If ``columns`` is a string, the return value represents a single RDataFrame column.

If ``columns`` is any other iterable, the return value is a record array, in which
each field corresponds to an RDataFrame column. In particular, if the ``columns``
iterable contains only one string, it is still a record array, which has only
one field.

See also :py:obj:`ak.to_rdataframe`.