pyspark.pandas.MultiIndex.from_arrays¶
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static
MultiIndex.from_arrays(arrays: List[List], sortorder: Optional[int] = None, names: Optional[List[Union[Any, Tuple[Any, …]]]] = None) → pyspark.pandas.indexes.multi.MultiIndex[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
Examples
>>> arrays = [[1, 1, 2, 2], ['red', 'blue', 'red', 'blue']] >>> ps.MultiIndex.from_arrays(arrays, names=('number', 'color')) MultiIndex([(1, 'red'), (1, 'blue'), (2, 'red'), (2, 'blue')], names=['number', 'color'])