bigframes.pandas.MultiIndex.from_tuples#

classmethod MultiIndex.from_tuples(tuples: Iterable[tuple[Hashable, ...]], sortorder: int | None = None, names: Sequence[Hashable] | Hashable | None = None, *, session: bigframes.session.Session | None = None) MultiIndex[source]#

Convert list of tuples to MultiIndex.

Examples:

>>> tuples = [(1, 'red'), (1, 'blue'),
...           (2, 'red'), (2, 'blue')]
>>> bpd.MultiIndex.from_tuples(tuples, names=('number', 'color'))
MultiIndex([(1,  'red'),
            (1, 'blue'),
            (2,  'red'),
            (2, 'blue')],
        names=['number', 'color'])
Parameters:
  • tuples (list / sequence of tuple-likes) – Each tuple is the index of one row/column.

  • sortorder (int or None) – Level of sortedness (must be lexicographically sorted by that level).

  • names (list / sequence of str, optional) – Names for the levels in the index.

Returns:

MultiIndex