ak.to_rdataframe#

Defined in awkward.operations.ak_to_rdataframe on line 8.

ak.to_rdataframe(arrays, *, flatlist_as_rvec=True)#
Parameters
  • arrays (dict of arrays) – Each value in this dict can be any array-like data that ak.to_layout recognizes, but they must all have the same length.

  • flatlist_as_rvec (bool) – If True, lists of primitive types (numbers, booleans, etc.) are presented to C++ as ROOT::RVec<primitive>, but all other types use Awkward Array’s custom C++ classes. If False, even these “flat” lists use Awkward Array’s custom C++ classes.

Converts an Awkward Array into ROOT Data Frame columns:

>>> x = ak.Array([
...     [1.1, 2.2, 3.3],
...     [],
...     [4.4, 5.5],
... ])
>>> y = ak.Array([
...     {"a": 1.1, "b": [1]},
...     {"a": 2.2, "b": [2, 1]},
...     {"a": 3.3, "b": [3, 2, 1]},
... ])

>>> rdf = ak.to_rdataframe({"x": x, "y": y})
>>> rdf.Define("z", "ROOT::VecOps::Sum(x) + y.a() + y.b()[0]").AsNumpy(["z"])
{'z': ndarray([ 8.7,  4.2, 16.2])}

>>> ak.sum(x, axis=-1) + y.a + y.b[:, 0]
<Array [8.7, 4.2, 16.2] type='3 * float64'>

See also ak.from_rdataframe.