pandas.MultiIndex.from_arrays

classmethod MultiIndex.from_arrays(arrays, sortorder=None, names=None) [source]

Convert arrays to MultiIndex.

Parameters:	arrays : list / sequence of array-likes Each array-like gives one level’s value for each data point. len(arrays) is the number of levels. 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_tuples

Convert list of tuples to MultiIndex.

MultiIndex.from_product

Make a MultiIndex from cartesian product of iterables.

MultiIndex.from_frame

Make a MultiIndex from a DataFrame.

Examples

>>> arrays = [[1, 1, 2, 2], ['red', 'blue', 'red', 'blue']]
>>> pd.MultiIndex.from_arrays(arrays, names=('number', 'color'))
MultiIndex([(1,  'red'),
            (1, 'blue'),
            (2,  'red'),
            (2, 'blue')],
           names=['number', 'color'])