87 lines
3.5 KiB
Python
87 lines
3.5 KiB
Python
import numpy as np
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from pandas import (
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Categorical,
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CategoricalIndex,
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Index,
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Interval,
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)
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import pandas._testing as tm
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class TestReindex:
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def test_reindex_list_non_unique(self):
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# GH#11586
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ci = CategoricalIndex(["a", "b", "c", "a"])
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with tm.assert_produces_warning(FutureWarning, match="non-unique"):
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res, indexer = ci.reindex(["a", "c"])
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tm.assert_index_equal(res, Index(["a", "a", "c"]), exact=True)
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tm.assert_numpy_array_equal(indexer, np.array([0, 3, 2], dtype=np.intp))
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def test_reindex_categorcal_non_unique(self):
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ci = CategoricalIndex(["a", "b", "c", "a"])
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with tm.assert_produces_warning(FutureWarning, match="non-unique"):
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res, indexer = ci.reindex(Categorical(["a", "c"]))
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exp = CategoricalIndex(["a", "a", "c"], categories=["a", "c"])
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tm.assert_index_equal(res, exp, exact=True)
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tm.assert_numpy_array_equal(indexer, np.array([0, 3, 2], dtype=np.intp))
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def test_reindex_list_non_unique_unused_category(self):
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ci = CategoricalIndex(["a", "b", "c", "a"], categories=["a", "b", "c", "d"])
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with tm.assert_produces_warning(FutureWarning, match="non-unique"):
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res, indexer = ci.reindex(["a", "c"])
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exp = Index(["a", "a", "c"], dtype="object")
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tm.assert_index_equal(res, exp, exact=True)
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tm.assert_numpy_array_equal(indexer, np.array([0, 3, 2], dtype=np.intp))
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def test_reindex_categorical_non_unique_unused_category(self):
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ci = CategoricalIndex(["a", "b", "c", "a"], categories=["a", "b", "c", "d"])
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with tm.assert_produces_warning(FutureWarning, match="non-unique"):
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res, indexer = ci.reindex(Categorical(["a", "c"]))
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exp = CategoricalIndex(["a", "a", "c"], categories=["a", "c"])
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tm.assert_index_equal(res, exp, exact=True)
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tm.assert_numpy_array_equal(indexer, np.array([0, 3, 2], dtype=np.intp))
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def test_reindex_duplicate_target(self):
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# See GH25459
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cat = CategoricalIndex(["a", "b", "c"], categories=["a", "b", "c", "d"])
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res, indexer = cat.reindex(["a", "c", "c"])
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exp = Index(["a", "c", "c"], dtype="object")
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tm.assert_index_equal(res, exp, exact=True)
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tm.assert_numpy_array_equal(indexer, np.array([0, 2, 2], dtype=np.intp))
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res, indexer = cat.reindex(
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CategoricalIndex(["a", "c", "c"], categories=["a", "b", "c", "d"])
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)
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exp = CategoricalIndex(["a", "c", "c"], categories=["a", "b", "c", "d"])
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tm.assert_index_equal(res, exp, exact=True)
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tm.assert_numpy_array_equal(indexer, np.array([0, 2, 2], dtype=np.intp))
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def test_reindex_empty_index(self):
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# See GH16770
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c = CategoricalIndex([])
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res, indexer = c.reindex(["a", "b"])
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tm.assert_index_equal(res, Index(["a", "b"]), exact=True)
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tm.assert_numpy_array_equal(indexer, np.array([-1, -1], dtype=np.intp))
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def test_reindex_categorical_added_category(self):
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# GH 42424
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ci = CategoricalIndex(
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[Interval(0, 1, closed="right"), Interval(1, 2, closed="right")],
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ordered=True,
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)
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ci_add = CategoricalIndex(
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[
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Interval(0, 1, closed="right"),
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Interval(1, 2, closed="right"),
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Interval(2, 3, closed="right"),
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Interval(3, 4, closed="right"),
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],
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ordered=True,
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)
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result, _ = ci.reindex(ci_add)
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expected = ci_add
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tm.assert_index_equal(expected, result)
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