# pandas.MultiIndex.from_product

classmethod `MultiIndex.``from_product`(iterables, sortorder=None, names=None)

  Make a MultiIndex from the cartesian product of multiple iterables.

  Parameters:

  iterables : list / sequence of iterables

  > Each iterable has unique labels for each level of the index.

  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_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'])

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