Package: python3-pandas,python3-dask
Version: 2.2.3+dfsg-6,2024.12.1+dfsg-1
The pandas test test_frame_setitem_dask_array_into_new_col is failing in
Salsa; it looks like assigning a dask array to a DataFrame used to make
a copy and now does not.
I'm not sure yet whether this is an actual problem - I'm mostly opening
this bug so I don't forget about it.
__________________ test_frame_setitem_dask_array_into_new_col
__________________
@pytest.mark.xfail(
condition=not IS64,
reason="dask has different nativesize-int vs int64 type rules",
strict=False,
)
def test_frame_setitem_dask_array_into_new_col():
# GH#47128
# dask sets "compute.use_numexpr" to False, so catch the
current value
# and ensure to reset it afterwards to avoid impacting other tests
olduse = pd.get_option("compute.use_numexpr")
try:
da = td.versioned_importorskip("dask.array")
dda = da.array([1, 2])
df = DataFrame({"a": ["a", "b"]})
df["b"] = dda
df["c"] = dda
df.loc[[False, True], "b"] = 100
result = df.loc[[1], :]
expected = DataFrame({"a": ["b"], "b": [100], "c": [2]},
index=[1])
> tm.assert_frame_equal(result, expected)
pandas/tests/test_downstream.py:259:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _
left = array([100]), right = array([2]), err_msg = None
def _raise(left, right, err_msg) -> NoReturn:
if err_msg is None:
if left.shape != right.shape:
raise_assert_detail(
obj, f"{obj} shapes are different", left.shape,
right.shape
)
diff = 0
for left_arr, right_arr in zip(left, right):
# count up differences
if not array_equivalent(left_arr, right_arr,
strict_nan=strict_nan):
diff += 1
diff = diff * 100.0 / left.size
msg = f"{obj} values are different ({np.round(diff, 5)} %)"
> raise_assert_detail(obj, msg, left, right,
index_values=index_values)
E AssertionError: DataFrame.iloc[:, 2] (column name="c") are
different
E
E DataFrame.iloc[:, 2] (column name="c") values are different
(100.0 %)
E [index]: [1]
E [left]: [100]
E [right]: [2]
pandas/_testing/asserters.py:684: AssertionError
