cudf.Index.intersection#

Index.intersection(other, sort=False)[source]#

Form the intersection of two Index objects.

This returns a new Index with elements common to the index and other.

Parameters:

otherIndex or array-like

sortFalse or None, default False

Whether to sort the resulting index.

False : do not sort the result.
None : sort the result, except when self and other are equal or when the values cannot be compared.
True : Sort the result (which may raise TypeError).

Returns:

intersectionIndex

Examples

>>> import cudf
>>> import pandas as pd
>>> idx1 = cudf.Index([1, 2, 3, 4])
>>> idx2 = cudf.Index([3, 4, 5, 6])
>>> idx1.intersection(idx2)
Index([3, 4], dtype='int64')

MultiIndex case

>>> idx1 = cudf.MultiIndex.from_pandas(
...    pd.MultiIndex.from_arrays(
...         [[1, 1, 3, 4], ["Red", "Blue", "Red", "Blue"]]
...    )
... )
>>> idx2 = cudf.MultiIndex.from_pandas(
...    pd.MultiIndex.from_arrays(
...         [[1, 1, 2, 2], ["Red", "Blue", "Red", "Blue"]]
...    )
... )
>>> idx1
MultiIndex([(1,  'Red'),
            (1, 'Blue'),
            (3,  'Red'),
            (4, 'Blue')],
        )
>>> idx2
MultiIndex([(1,  'Red'),
            (1, 'Blue'),
            (2,  'Red'),
            (2, 'Blue')],
        )
>>> idx1.intersection(idx2)
MultiIndex([(1,  'Red'),
            (1, 'Blue')],
        )
>>> idx1.intersection(idx2, sort=False)
MultiIndex([(1,  'Red'),
            (1, 'Blue')],
        )