pandas.MultiIndex.from_product — pandas 2.2.3 documentation (original) (raw)

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

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'])