Open
Description
Pandas version checks
-
I have checked that this issue has not already been reported.
-
I have confirmed this bug exists on the latest version of pandas.
-
I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
#from 535a4ecd0756e498e958d0cf9e92b23dd9c26438 (#50183)
oneyear_in_ns = 1e9 * 60 * 60 * 24 * 365.2425
tsmax_in_years = 2**63 / oneyear_in_ns # 2**63 ns, in years
# just in bounds
should_succeed = Series(
[0, tsmax_in_years - 0.05, -tsmax_in_years + 0.05], dtype=float
)
expected = (should_succeed * oneyear_in_ns).astype("M8[ns]")
for error_mode in ["raise", "coerce", "ignore"]:
result1 = to_datetime(should_succeed, unit="Y", errors=error_mode)
tm.assert_almost_equal(result1, expected, rtol=1e-10)Issue Description
_testing.assert_almost_equal on datetimes (and probably other extension types) actually checks exact equality, because pandas/_testing/asserters.py:731 calls assert_numpy_array_equal, which doesn't have atol/rtol.
I'm not sure what should be done about this: it looks like removing that call or restricting it to check_exact=True would instead create an infinite loop, though I haven't actually tested that.
Failure log:
=================================== FAILURES ===================================
_________ TestToDatetimeUnit.test_float_to_datetime_raise_near_bounds __________
[gw0] linux -- Python 3.8.15 /home/runner/micromamba/envs/test/bin/python3.8
self = <pandas.tests.tools.test_to_datetime.TestToDatetimeUnit object at 0x7face2178cd0>
def test_float_to_datetime_raise_near_bounds(self):
msg = "cannot convert input with unit 'Y'"
oneyear_in_ns = 1e9 * 60 * 60 * 24 * 365.2425
tsmax_in_years = 2**63 / oneyear_in_ns # 2**63 ns, in years
# just in bounds
should_succeed = Series(
[0, tsmax_in_years - 0.05, -tsmax_in_years + 0.05], dtype=float
)
expected = (should_succeed * oneyear_in_ns).astype("M8[ns]")
for error_mode in ["raise", "coerce", "ignore"]:
result1 = to_datetime(should_succeed, unit="Y", errors=error_mode)
> tm.assert_almost_equal(result1, expected, rtol=1e-10)
pandas/tests/tools/test_to_datetime.py:1643:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pandas/_testing/asserters.py:100: in assert_almost_equal
assert_series_equal(
pandas/_testing/asserters.py:731: in assert_extension_array_equal
assert_numpy_array_equal(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
left = array([ 0, 9221794189257056904, -9221794189257056904])
right = array([ 0, 9221794189254774784, -9221794189254774784])
err_msg = None
def _raise(left, right, err_msg):
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: numpy array are different
E
E numpy array values are different (66.66667 %)
E [index]: [0, 1, 2]
E [left]: [0, 9221794189257056904, -9221794189257056904]
E [right]: [0, 9221794189254774784, -9221794189254774784]
pandas/_testing/asserters.py:662: AssertionError
Expected Behavior
As the values are within the specified tolerance of each other, assert_almost_equal should pass.
(It's possibly also a bug that to_datetime(errors='raise') and to_datetime(errors='coerce') are rounded differently, but a separate one.)
Installed Versions
Probably not critical since all the CI runs failed.
(It looks like the bug also exists in stable, but I haven't actually tested that - I assume your bug reporting form's "version checks" aren't actually intended to ban reporting bugs that exist in main but not in a release.)
/usr/bin/bash -lc micromamba list --log-level warning
List of packages in environment: "/home/runner/micromamba/envs/test"
Name Version Build Channel
──────────────────────────────────────────────────────────────────────────────────────
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aiobotocore 2.4.0 pyhd8ed1ab_0 conda-forge
aiohttp 3.8.3 py38h0a891b7_1 conda-forge
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arrow-cpp 7.0.1 py38h516eea7_10_cpu conda-forge
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attr 2.5.1 h166bdaf_1 conda-forge
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aws-c-cal 0.5.11 h95a6274_0 conda-forge
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pip 22.3.1 pyhd8ed1ab_0 conda-forge
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pytest-cov 4.0.0 pyhd8ed1ab_0 conda-forge
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python 3.8.15 h257c98d_0_cpython conda-forge
python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
python-snappy 0.6.1 py38h1ddbb56_0 conda-forge
python_abi 3.8 3_cp38 conda-forge
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readline 8.1.2 h0f457ee_0 conda-forge
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rsa 4.9 pyhd8ed1ab_0 conda-forge
rtree 1.0.1 py38h02d302b_1 conda-forge
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scikit-learn 1.2.0 py38h1e1a916_0 conda-forge
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setuptools 65.5.1 pyhd8ed1ab_0 conda-forge
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soupsieve 2.3.2.post1 pyhd8ed1ab_0 conda-forge
sqlalchemy 1.4.45 py38h1de0b5d_0 conda-forge
sqlite 3.40.0 h4ff8645_0 conda-forge
stack_data 0.6.2 pyhd8ed1ab_0 conda-forge
tabulate 0.9.0 pyhd8ed1ab_1 conda-forge
threadpoolctl 3.1.0 pyh8a188c0_0 conda-forge
tiledb 2.11.3 h1e4a385_1 conda-forge
tk 8.6.12 h27826a3_0 conda-forge
toml 0.10.2 pyhd8ed1ab_0 conda-forge
tomli 2.0.1 pyhd8ed1ab_0 conda-forge
tornado 6.2 py38h0a891b7_1 conda-forge
tqdm 4.64.1 pyhd8ed1ab_0 conda-forge
traitlets 5.7.0 pyhd8ed1ab_0 conda-forge
typing-extensions 4.4.0 hd8ed1ab_0 conda-forge
typing_extensions 4.4.0 pyha770c72_0 conda-forge
typing_inspect 0.7.1 pyh6c4a22f_0 conda-forge
tzcode 2022g h166bdaf_0 conda-forge
tzdata 2022g h191b570_0 conda-forge
unicodedata2 15.0.0 py38h0a891b7_0 conda-forge
urllib3 1.26.13 pyhd8ed1ab_0 conda-forge
versioneer 0.28 pyhd8ed1ab_0 conda-forge
wcwidth 0.2.5 pyh9f0ad1d_2 conda-forge
webencodings 0.5.1 py_1 conda-forge
wheel 0.38.4 pyhd8ed1ab_0 conda-forge
wrapt 1.14.1 py38h0a891b7_1 conda-forge
xarray 2022.12.0 pyhd8ed1ab_0 conda-forge
xcb-util 0.4.0 h166bdaf_0 conda-forge
xcb-util-image 0.4.0 h166bdaf_0 conda-forge
xcb-util-keysyms 0.4.0 h166bdaf_0 conda-forge
xcb-util-renderutil 0.3.9 h166bdaf_0 conda-forge
xcb-util-wm 0.4.1 h166bdaf_0 conda-forge
xerces-c 3.2.4 h55805fa_1 conda-forge
xlrd 2.0.1 pyhd8ed1ab_3 conda-forge
xlsxwriter 3.0.3 pyhd8ed1ab_0 conda-forge
xorg-kbproto 1.0.7 h7f98852_1002 conda-forge
xorg-libice 1.0.10 h7f98852_0 conda-forge
xorg-libsm 1.2.3 hd9c2040_1000 conda-forge
xorg-libx11 1.7.2 h7f98852_0 conda-forge
xorg-libxau 1.0.9 h7f98852_0 conda-forge
xorg-libxdmcp 1.1.3 h7f98852_0 conda-forge
xorg-libxext 1.3.4 h7f98852_1 conda-forge
xorg-libxrender 0.9.10 h7f98852_1003 conda-forge
xorg-renderproto 0.11.1 h7f98852_1002 conda-forge
xorg-xextproto 7.3.0 h7f98852_1002 conda-forge
xorg-xproto 7.0.31 h7f98852_1007 conda-forge
xyzservices 2022.9.0 pyhd8ed1ab_0 conda-forge
xz 5.2.6 h166bdaf_0 conda-forge
yaml 0.2.5 h7f98852_2 conda-forge
yarl 1.8.1 py38h0a891b7_0 conda-forge
zipp 3.11.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.13 h166bdaf_4 conda-forge
zstandard 0.19.0 py38h5945529_1 conda-forge
zstd 1.5.2 h6239696_4 conda-forge
Warning: The `save-state` command is deprecated and will be disabled soon. Please upgrade to using Environment Files. For more information see: https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/