import numpy as np import pytest from pandas import IntervalIndex import pandas._testing as tm from pandas.tests.indexes.common import Base class TestBase(Base): """ Tests specific to the shared common index tests; unrelated tests should be placed in test_interval.py or the specific test file (e.g. test_astype.py) """ _index_cls = IntervalIndex @pytest.fixture def simple_index(self) -> IntervalIndex: return self._index_cls.from_breaks(range(11), closed="right") @pytest.fixture def index(self): return tm.makeIntervalIndex(10) def create_index(self, *, closed="right"): return IntervalIndex.from_breaks(range(11), closed=closed) def test_repr_max_seq_item_setting(self): # override base test: not a valid repr as we use interval notation pass def test_repr_roundtrip(self): # override base test: not a valid repr as we use interval notation pass def test_take(self, closed): index = self.create_index(closed=closed) result = index.take(range(10)) tm.assert_index_equal(result, index) result = index.take([0, 0, 1]) expected = IntervalIndex.from_arrays([0, 0, 1], [1, 1, 2], closed=closed) tm.assert_index_equal(result, expected) def test_where(self, simple_index, listlike_box): klass = listlike_box idx = simple_index cond = [True] * len(idx) expected = idx result = expected.where(klass(cond)) tm.assert_index_equal(result, expected) cond = [False] + [True] * len(idx[1:]) expected = IntervalIndex([np.nan] + idx[1:].tolist()) result = idx.where(klass(cond)) tm.assert_index_equal(result, expected) def test_getitem_2d_deprecated(self, simple_index): # GH#30588 multi-dim indexing is deprecated, but raising is also acceptable idx = simple_index with pytest.raises(ValueError, match="multi-dimensional indexing not allowed"): idx[:, None] with pytest.raises(ValueError, match="multi-dimensional indexing not allowed"): # GH#44051 idx[True] with pytest.raises(ValueError, match="multi-dimensional indexing not allowed"): # GH#44051 idx[False]