pandas.MultiIndex.from_product#

classmethod MultiIndex.from_product(iterables, sortorder=None, names=<no_default>)[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. If not explicitly provided, names will be inferred from the elements of iterables if an element has a name attribute.

Returns:

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([(0,  'green'),
            (0, 'purple'),
            (1,  'green'),
            (1, 'purple'),
            (2,  'green'),
            (2, 'purple')],
           names=['number', 'color'])