Class MultiIndex (1.26.0)

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

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

Methods

from_arrays

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'])

Parameters
Name	Description
arrays	list / sequence of array-likes Each array-like gives one level's value for each data point. len(arrays) is the number of levels.
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.

from_tuples

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'])

Parameters
Name	Description
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.