# 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 strings or None

  > 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

  Examples

      >>> numbers = [0, 1, 2]
      >>> colors = [u'green', u'purple']
      >>> MultiIndex.from_product([numbers, colors],
                                   names=['number', 'color'])
      MultiIndex(levels=[[0, 1, 2], [u'green', u'purple']],
                 labels=[[0, 0, 1, 1, 2, 2], [0, 1, 0, 1, 0, 1]],
                 names=[u'number', u'color'])

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