pandas.MultiIndex.from_arrays¶
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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.
Returns: - index : MultiIndex
See also
MultiIndex.from_tuples
- Convert list of tuples to MultiIndex.
MultiIndex.from_product
- Make a MultiIndex from cartesian product of iterables.
MultiIndex.from_frame
- Make a MultiIndex from a DataFrame.
Examples
>>> arrays = [[1, 1, 2, 2], ['red', 'blue', 'red', 'blue']] >>> pd.MultiIndex.from_arrays(arrays, names=('number', 'color')) MultiIndex(levels=[[1, 2], ['blue', 'red']], codes=[[0, 0, 1, 1], [1, 0, 1, 0]], names=['number', 'color'])