pandas.MultiIndex.from_product#

classmethod MultiIndex.from_product(iterables, sortorder=None, names=NoDefault.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.

Changed in version 1.0.0: 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'])

pandas.MultiIndex.from_tuples

pandas.MultiIndex.from_frame