pandas.MultiIndex.from_arrays — pandas 0.24.0rc1 documentation (original) (raw)
classmethod MultiIndex. from_arrays(arrays, sortorder=None, names=None)[source]¶
Convert arrays to MultiIndex.
| Parameters: | arrays : list / sequence of array-likes Each array-like gives one level’s value for each data point. len(arrays) is the number of levels. 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
arrays = [[1, 1, 2, 2], ['red', 'blue', 'red', 'blue']] pd.MultiIndex.from_arrays(arrays, names=('number', 'color')) MultiIndex(levels=[[1, 2], ['blue', 'red']], labels=[[0, 0, 1, 1], [1, 0, 1, 0]], names=['number', 'color'])