def test_get_loc(self):
# GH 12531
cidx1 = CategoricalIndex(list("abcde"), categories=list("edabc"))
idx1 = Index(list("abcde"))
assert cidx1.get_loc("a") == idx1.get_loc("a")
assert cidx1.get_loc("e") == idx1.get_loc("e")
for i in [cidx1, idx1]:
with pytest.raises(KeyError, match="'NOT-EXIST'"):
i.get_loc("NOT-EXIST")
# non-unique
cidx2 = CategoricalIndex(list("aacded"), categories=list("edabc"))
idx2 = Index(list("aacded"))
# results in bool array
res = cidx2.get_loc("d")
tm.assert_numpy_array_equal(res, idx2.get_loc("d"))
tm.assert_numpy_array_equal(
res, np.array([False, False, False, True, False, True])
)
# unique element results in scalar
res = cidx2.get_loc("e")
assert res == idx2.get_loc("e")
assert res == 4
for i in [cidx2, idx2]:
with pytest.raises(KeyError, match="'NOT-EXIST'"):
i.get_loc("NOT-EXIST")
# non-unique, sliceable
cidx3 = CategoricalIndex(list("aabbb"), categories=list("abc"))
idx3 = Index(list("aabbb"))
# results in slice
res = cidx3.get_loc("a")
assert res == idx3.get_loc("a")
assert res == slice(0, 2, None)
res = cidx3.get_loc("b")
assert res == idx3.get_loc("b")
assert res == slice(2, 5, None)
for i in [cidx3, idx3]:
with pytest.raises(KeyError, match="'c'"):
i.get_loc("c")
def test_get_loc_nonmonotonic_nonunique(self):
cidx = CategoricalIndex(list("abcb"))
result = cidx.get_loc("b")
expected = np.array([False, True, False, True], dtype=bool)
tm.assert_numpy_array_equal(result, expected)
def test_get_loc_monotonic_nonunique(self):
cidx = CategoricalIndex(list("abbc"))
result = cidx.get_loc("b")
expected = slice(1, 3, None)
assert result == expected
def test_get_loc_unique(self):
cidx = CategoricalIndex(list("abc"))
result = cidx.get_loc("b")
assert result == 1
def test_get_loc_nan(self):
# GH#41933
ci = CategoricalIndex(["A", "B", np.nan])
res = ci.get_loc(np.nan)
assert res == 2
