def test_get_indexer_categorical_with_nans(self): # GH#41934 nans in both index and in target ii = IntervalIndex.from_breaks(range(5), inclusive="right") ii2 = ii.append(IntervalIndex([np.nan])) ci2 = CategoricalIndex(ii2) result = ii2.get_indexer(ci2) expected = np.arange(5, dtype=np.intp) tm.assert_numpy_array_equal(result, expected) # not-all-matches result = ii2[1:].get_indexer(ci2[::-1]) expected = np.array([3, 2, 1, 0, -1], dtype=np.intp) tm.assert_numpy_array_equal(result, expected) # non-unique target, non-unique nans result = ii2.get_indexer(ci2.append(ci2)) expected = np.array([0, 1, 2, 3, 4, 0, 1, 2, 3, 4], dtype=np.intp) tm.assert_numpy_array_equal(result, expected)