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[source]¶

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