pandas.MultiIndex.from_product — pandas 0.25.3 documentation (original) (raw)
classmethod MultiIndex. from_product(iterables, sortorder=None, names=None)[source]¶
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. |
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| Returns: | index : MultiIndex |
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'])