pandas.Index.join#
- final Index.join(other, *, how='left', level=None, return_indexers=False, sort=False)[source]#
Compute join_index and indexers to conform data structures to the new index.
- Parameters:
- otherIndex
- how{‘left’, ‘right’, ‘inner’, ‘outer’}
- levelint or level name, default None
- return_indexersbool, default False
- sortbool, default False
Sort the join keys lexicographically in the result Index. If False, the order of the join keys depends on the join type (how keyword).
- Returns:
- join_index, (left_indexer, right_indexer)
Examples
>>> idx1 = pd.Index([1, 2, 3]) >>> idx2 = pd.Index([4, 5, 6]) >>> idx1.join(idx2, how='outer') Index([1, 2, 3, 4, 5, 6], dtype='int64')