pandas.MultiIndex.from_product — pandas 0.18.1 documentation (original) (raw)
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. |
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| Returns: | index : 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'])