Class MultiIndex (2.21.0) 

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.