pyspark.pandas.MultiIndex.from_tuples¶
-
static
MultiIndex.from_tuples(tuples: List[Tuple], sortorder: Optional[int] = None, names: Optional[List[Union[Any, Tuple[Any, …]]]] = None) → pyspark.pandas.indexes.multi.MultiIndex[source]¶ Convert list of tuples to MultiIndex.
- Parameters
- tupleslist / sequence of tuple-likes
Each tuple is the index of one row/column.
- sortorderint or None
Level of sortedness (must be lexicographically sorted by that level).
- nameslist / sequence of str, optional
Names for the levels in the index.
- Returns
- indexMultiIndex
Examples
>>> tuples = [(1, 'red'), (1, 'blue'), ... (2, 'red'), (2, 'blue')] >>> ps.MultiIndex.from_tuples(tuples, names=('number', 'color')) MultiIndex([(1, 'red'), (1, 'blue'), (2, 'red'), (2, 'blue')], names=['number', 'color'])