ak.from_rdataframe#

Defined in awkward.operations.ak_from_rdataframe on line 15.

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

  • rdf (ROOT.RDataFrame) – ROOT RDataFrame to convert into an Awkward Array.

  • columns (str or iterable of str) – A column or multiple columns to be converted to Awkward Array.

  • keep_order (bool) – If set to True the columns with Awkward type will keep order after filtering.

  • offsets_type (str) – A NumpyType.primitive type of the ListOffsetArray offsets: "int32", "uint32" or "int64".

  • with_name (None or str) – Gives tuples and records a name that can be used to override their behavior (see ak.Array).

  • highlevel (bool) – If True, return an ak.Array; otherwise, return a low-level ak.contents.Content subclass.

  • behavior (None or dict) – Custom ak.behavior for the output array, if high-level.

  • attrs (None or dict) – Custom attributes for the output array, if high-level.

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 ak.to_rdataframe.