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)

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

Examples

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

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https://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.MultiIndex.from_arrays.html