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