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Showing content from https://cloud.google.com/python/docs/reference/bigframes/2.1.0/bigframes.pandas.MultiIndex below:

Class MultiIndex (2.1.0) | Python client library

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MultiIndex(data=None, dtype=None, *, name=None, session=None)

A multi-level, or hierarchical, index object for pandas objects.

from_arrays(
    arrays, sortorder: typing.Optional[int] = None, names=None
) -> bigframes.core.indexes.multi.MultiIndex

Convert arrays to MultiIndex.

Examples:

>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
>>> arrays = [[1, 1, 2, 2], ['red', 'blue', 'red', 'blue']]
>>> bpd.MultiIndex.from_arrays(arrays, names=('number', 'color'))
MultiIndex([(1,  'red'),
            (1, 'blue'),
            (2,  'red'),
            (2, 'blue')],
        names=['number', 'color'])

Each array-like gives one level's value for each data point. len(arrays) is the number of levels.

Level of sortedness (must be lexicographically sorted by that level).

Names for the levels in the index.

from_tuples(
    tuples: typing.Iterable[tuple[typing.Hashable, ...]],
    sortorder: typing.Optional[int] = None,
    names: typing.Optional[
        typing.Union[typing.Sequence[typing.Hashable], typing.Hashable]
    ] = None,
) -> bigframes.core.indexes.multi.MultiIndex

Convert list of tuples to MultiIndex.

Examples:

>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
>>> 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'])

Each tuple is the index of one row/column.

Level of sortedness (must be lexicographically sorted by that level).

Names for the levels in the index.

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Last updated 2025-08-12 UTC.

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