def _get_indexer(self, index: pd.Index) -> Union[Iterable[int], np.ndarray]:
indexer = index.get_indexer_for(self.values)
missing_mask = indexer == -1
if missing_mask.any():
missing = np.asarray(self.values)[missing_mask].tolist()
raise KeyError(missing)
return indexer
def test_repeating_interval_index_with_infs(intervals):
# GH 46658
interval_index = Index(intervals * 51)
expected = np.arange(1, 102, 2, dtype=np.intp)
result = interval_index.get_indexer_for([intervals[1]])
tm.assert_equal(result, expected)
def test_get_indexer_non_unique_multiple_nans(idx, target, expected):
# GH 35392
axis = Index(idx)
actual = axis.get_indexer_for(target)
tm.assert_numpy_array_equal(actual, expected)
