import numpy as np
from pandas import Categorical, CategoricalIndex, Index
import pandas._testing as tm
class TestReindex:
def test_reindex_dtype(self):
c = CategoricalIndex(["a", "b", "c", "a"])
res, indexer = c.reindex(["a", "c"])
tm.assert_index_equal(res, Index(["a", "a", "c"]), exact=True)
tm.assert_numpy_array_equal(indexer, np.array([0, 3, 2], dtype=np.intp))
c = CategoricalIndex(["a", "b", "c", "a"])
res, indexer = c.reindex(Categorical(["a", "c"]))
exp = CategoricalIndex(["a", "a", "c"], categories=["a", "c"])
tm.assert_index_equal(res, exp, exact=True)
tm.assert_numpy_array_equal(indexer, np.array([0, 3, 2], dtype=np.intp))
c = CategoricalIndex(["a", "b", "c", "a"], categories=["a", "b", "c", "d"])
res, indexer = c.reindex(["a", "c"])
exp = Index(["a", "a", "c"], dtype="object")
tm.assert_index_equal(res, exp, exact=True)
tm.assert_numpy_array_equal(indexer, np.array([0, 3, 2], dtype=np.intp))
c = CategoricalIndex(["a", "b", "c", "a"], categories=["a", "b", "c", "d"])
res, indexer = c.reindex(Categorical(["a", "c"]))
exp = CategoricalIndex(["a", "a", "c"], categories=["a", "c"])
tm.assert_index_equal(res, exp, exact=True)
tm.assert_numpy_array_equal(indexer, np.array([0, 3, 2], dtype=np.intp))
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))