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_categorical_non_unique_unused_category(self):
ci = CategoricalIndex(["a", "b", "c", "a"], categories=["a", "b", "c", "d"])
with tm.assert_produces_warning(FutureWarning, match="non-unique"):
res, indexer = ci.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_list_non_unique(self):
# GH#11586
ci = CategoricalIndex(["a", "b", "c", "a"])
with tm.assert_produces_warning(FutureWarning, match="non-unique"):
res, indexer = ci.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))
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)
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))
