# pandas.MultiIndex.from_arrays

classmethod `MultiIndex.``from_arrays`(arrays, sortorder=None, names=None)

  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'])

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