pandas.MultiIndex.from_product

classmethod MultiIndex.from_product(iterables, sortorder=None, names=None) [source]

Make a MultiIndex from the cartesian product of multiple iterables.

Parameters:	iterables : list / sequence of iterables Each iterable has unique labels for each level of the index. 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.
Returns:	index : MultiIndex

See also

MultiIndex.from_arrays

Convert list of arrays to MultiIndex.

MultiIndex.from_tuples

Convert list of tuples to MultiIndex.

MultiIndex.from_frame

Make a MultiIndex from a DataFrame.

Examples

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