pyspark.pandas.MultiIndex.from_product

static MultiIndex.from_product(iterables: List[List], sortorder: Optional[int] = None, names: Optional[List[Union[Any, Tuple[Any, …]]]] = None) → pyspark.pandas.indexes.multi.MultiIndex

Make a MultiIndex from the cartesian product of multiple iterables.

Parameters

iterableslist / sequence of iterables

Each iterable has unique labels for each level of the index.

sortorderint or None

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

nameslist / sequence of str, optional

Names for the levels in the index.

Returns

indexMultiIndex

See also

MultiIndex.from_arrays

Convert list of arrays to MultiIndex.

MultiIndex.from_tuples

Convert list of tuples to MultiIndex.

Examples

>>> numbers = [0, 1, 2]
>>> colors = ['green', 'purple']
>>> ps.MultiIndex.from_product([numbers, colors],
...                            names=['number', 'color'])  
MultiIndex([(0,  'green'),
            (0, 'purple'),
            (1,  'green'),
            (1, 'purple'),
            (2,  'green'),
            (2, 'purple')],
           names=['number', 'color'])

pyspark.pandas.MultiIndex.from_tuples pyspark.pandas.MultiIndex.from_frame