cudf.Index.join

Index.join(other, how='left', level=None, return_indexers=False, sort=False)

Compute join_index and indexers to conform data structures to the new index.

Parameters:

otherIndex.

how{‘left’, ‘right’, ‘inner’, ‘outer’}

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: index

Examples

>>> import cudf
>>> lhs = cudf.DataFrame({
...     "a": [2, 3, 1],
...     "b": [3, 4, 2],
... }).set_index(['a', 'b']).index
>>> lhs
MultiIndex([(2, 3),
            (3, 4),
            (1, 2)],
           names=['a', 'b'])
>>> rhs = cudf.DataFrame({"a": [1, 4, 3]}).set_index('a').index
>>> rhs
Index([1, 4, 3], dtype='int64', name='a')
>>> lhs.join(rhs, how='inner')
MultiIndex([(3, 4),
            (1, 2)],
           names=['a', 'b'])