pandas.MultiIndex.from_product¶
-
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.
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(levels=[[0, 1, 2], ['green', 'purple']], codes=[[0, 0, 1, 1, 2, 2], [0, 1, 0, 1, 0, 1]], names=['number', 'color'])