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| import numpy as np
| import pytest
|
| from pandas import (
| Categorical,
| CategoricalIndex,
| Index,
| Interval,
| )
| import pandas._testing as tm
|
|
| class TestReindex:
| def test_reindex_list_non_unique(self):
| # GH#11586
| msg = "cannot reindex on an axis with duplicate labels"
| ci = CategoricalIndex(["a", "b", "c", "a"])
| with pytest.raises(ValueError, match=msg):
| ci.reindex(["a", "c"])
|
| def test_reindex_categorical_non_unique(self):
| msg = "cannot reindex on an axis with duplicate labels"
| ci = CategoricalIndex(["a", "b", "c", "a"])
| with pytest.raises(ValueError, match=msg):
| ci.reindex(Categorical(["a", "c"]))
|
| def test_reindex_list_non_unique_unused_category(self):
| msg = "cannot reindex on an axis with duplicate labels"
| ci = CategoricalIndex(["a", "b", "c", "a"], categories=["a", "b", "c", "d"])
| with pytest.raises(ValueError, match=msg):
| ci.reindex(["a", "c"])
|
| def test_reindex_categorical_non_unique_unused_category(self):
| msg = "cannot reindex on an axis with duplicate labels"
| ci = CategoricalIndex(["a", "b", "c", "a"], categories=["a", "b", "c", "d"])
| with pytest.raises(ValueError, match=msg):
| ci.reindex(Categorical(["a", "c"]))
|
| def test_reindex_duplicate_target(self):
| # See GH25459
| cat = CategoricalIndex(["a", "b", "c"], categories=["a", "b", "c", "d"])
| res, indexer = cat.reindex(["a", "c", "c"])
| exp = Index(["a", "c", "c"], dtype="object")
| tm.assert_index_equal(res, exp, exact=True)
| tm.assert_numpy_array_equal(indexer, np.array([0, 2, 2], dtype=np.intp))
|
| res, indexer = cat.reindex(
| CategoricalIndex(["a", "c", "c"], categories=["a", "b", "c", "d"])
| )
| exp = CategoricalIndex(["a", "c", "c"], categories=["a", "b", "c", "d"])
| tm.assert_index_equal(res, exp, exact=True)
| tm.assert_numpy_array_equal(indexer, np.array([0, 2, 2], dtype=np.intp))
|
| def test_reindex_empty_index(self):
| # See GH16770
| c = CategoricalIndex([])
| res, indexer = c.reindex(["a", "b"])
| tm.assert_index_equal(res, Index(["a", "b"]), exact=True)
| tm.assert_numpy_array_equal(indexer, np.array([-1, -1], dtype=np.intp))
|
| def test_reindex_categorical_added_category(self):
| # GH 42424
| ci = CategoricalIndex(
| [Interval(0, 1, closed="right"), Interval(1, 2, closed="right")],
| ordered=True,
| )
| ci_add = CategoricalIndex(
| [
| Interval(0, 1, closed="right"),
| Interval(1, 2, closed="right"),
| Interval(2, 3, closed="right"),
| Interval(3, 4, closed="right"),
| ],
| ordered=True,
| )
| result, _ = ci.reindex(ci_add)
| expected = ci_add
| tm.assert_index_equal(expected, result)
|
|
