def test_union_different_types(index_flat, index_flat2):
# This test only considers combinations of indices
# GH 23525
idx1 = index_flat
idx2 = index_flat2
common_dtype = find_common_type([idx1.dtype, idx2.dtype])
any_uint64 = idx1.dtype == np.uint64 or idx2.dtype == np.uint64
idx1_signed = is_signed_integer_dtype(idx1.dtype)
idx2_signed = is_signed_integer_dtype(idx2.dtype)
# Union with a non-unique, non-monotonic index raises error
# This applies to the boolean index
idx1 = idx1.sort_values()
idx2 = idx2.sort_values()
res1 = idx1.union(idx2)
res2 = idx2.union(idx1)
if any_uint64 and (idx1_signed or idx2_signed):
assert res1.dtype == np.dtype("O")
assert res2.dtype == np.dtype("O")
else:
assert res1.dtype == common_dtype
assert res2.dtype == common_dtype
def test_union_different_types(index_flat, index_flat2, request):
# This test only considers combinations of indices
# GH 23525
idx1 = index_flat
idx2 = index_flat2
if (not idx1.is_unique and idx1.dtype.kind == "i"
and is_dtype_equal(idx2.dtype, "boolean")) or (
not idx2.is_unique and idx2.dtype.kind == "i"
and is_dtype_equal(idx1.dtype, "boolean")):
mark = pytest.mark.xfail(reason="GH#44000 True==1", raises=ValueError)
request.node.add_marker(mark)
common_dtype = find_common_type([idx1.dtype, idx2.dtype])
any_uint64 = idx1.dtype == np.uint64 or idx2.dtype == np.uint64
idx1_signed = is_signed_integer_dtype(idx1.dtype)
idx2_signed = is_signed_integer_dtype(idx2.dtype)
# Union with a non-unique, non-monotonic index raises error
# This applies to the boolean index
idx1 = idx1.sort_values()
idx2 = idx2.sort_values()
res1 = idx1.union(idx2)
res2 = idx2.union(idx1)
if any_uint64 and (idx1_signed or idx2_signed):
assert res1.dtype == np.dtype("O")
assert res2.dtype == np.dtype("O")
else:
assert res1.dtype == common_dtype
assert res2.dtype == common_dtype
def test_union_different_types(index_flat, index_flat2, request):
# This test only considers combinations of indices
# GH 23525
idx1 = index_flat
idx2 = index_flat2
if (not idx1.is_unique and not idx2.is_unique and idx1.dtype.kind == "i"
and idx2.dtype.kind == "b") or (not idx2.is_unique
and not idx1.is_unique
and idx2.dtype.kind == "i"
and idx1.dtype.kind == "b"):
# Each condition had idx[1|2].is_monotonic_decreasing
# but failed when e.g.
# idx1 = Index(
# [True, True, True, True, True, True, True, True, False, False], dtype='bool'
# )
# idx2 = Int64Index([0, 0, 1, 1, 2, 2], dtype='int64')
mark = pytest.mark.xfail(reason="GH#44000 True==1",
raises=ValueError,
strict=False)
request.node.add_marker(mark)
common_dtype = find_common_type([idx1.dtype, idx2.dtype])
warn = None
if not len(idx1) or not len(idx2):
pass
elif (idx1.dtype.kind == "c" and
(idx2.dtype.kind not in ["i", "u", "f", "c"]
or not isinstance(idx2.dtype, np.dtype))) or (
idx2.dtype.kind == "c" and
(idx1.dtype.kind not in ["i", "u", "f", "c"]
or not isinstance(idx1.dtype, np.dtype))):
# complex objects non-sortable
warn = RuntimeWarning
any_uint64 = idx1.dtype == np.uint64 or idx2.dtype == np.uint64
idx1_signed = is_signed_integer_dtype(idx1.dtype)
idx2_signed = is_signed_integer_dtype(idx2.dtype)
# Union with a non-unique, non-monotonic index raises error
# This applies to the boolean index
idx1 = idx1.sort_values()
idx2 = idx2.sort_values()
with tm.assert_produces_warning(warn, match="'<' not supported between"):
res1 = idx1.union(idx2)
res2 = idx2.union(idx1)
if any_uint64 and (idx1_signed or idx2_signed):
assert res1.dtype == np.dtype("O")
assert res2.dtype == np.dtype("O")
else:
assert res1.dtype == common_dtype
assert res2.dtype == common_dtype
def contains_op(cls, series: pd.Series) -> bool:
return pdt.is_signed_integer_dtype(series)
