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BUG: read_csv raising for arrow engine and parse_dates #53295

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Merged
merged 2 commits into from
May 19, 2023
Merged

BUG: read_csv raising for arrow engine and parse_dates #53295

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BUG: read_csv raising for arrow engine and parse_dates
phofl May 18, 2023
01ee19c
Merge remote-tracking branch 'upstream/main' into 53295
phofl May 18, 2023
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2 changes: 1 addition & 1 deletion doc/source/whatsnew/v2.0.2.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -29,6 +29,7 @@ Bug fixes
- Bug in :func:`api.interchange.from_dataframe` was returning :class:`DataFrame`'s of incorrect sizes when called on slices (:issue:`52824`)
- Bug in :func:`api.interchange.from_dataframe` was unnecessarily raising on bitmasks (:issue:`49888`)
- Bug in :func:`merge` when merging on datetime columns on different resolutions (:issue:`53200`)
- Bug in :func:`read_csv` raising ``OverflowError`` for ``engine="pyarrow"`` and ``parse_dates`` set (:issue:`53295`)
- Bug in :func:`to_datetime` was inferring format to contain ``"%H"`` instead of ``"%I"`` if date contained "AM" / "PM" tokens (:issue:`53147`)
- Bug in :func:`to_timedelta` was raising ``ValueError`` with ``pandas.NA`` (:issue:`52909`)
- Bug in :meth:`DataFrame.__getitem__` not preserving dtypes for :class:`MultiIndex` partial keys (:issue:`51895`)
Expand All @@ -38,7 +39,6 @@ Bug fixes
- Bug in :meth:`Series.rename` not making a lazy copy when Copy-on-Write is enabled when a scalar is passed to it (:issue:`52450`)
- Bug in :meth:`pd.array` raising for ``NumPy`` array and ``pa.large_string`` or ``pa.large_binary`` (:issue:`52590`)


.. ---------------------------------------------------------------------------
.. _whatsnew_202.other:

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3 changes: 3 additions & 0 deletions pandas/io/parsers/base_parser.py
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Expand Up @@ -1137,6 +1137,9 @@ def unpack_if_single_element(arg):
return arg

def converter(*date_cols, col: Hashable):
if len(date_cols) == 1 and date_cols[0].dtype.kind in "Mm":
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Not sure if I understood your comment in the OP correctly, but does this also fix parse_dates for numpy dtypes too?

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Only NumPy dtypes as far as I know, we fixed this for Arrow dtypes a couple of weeks ago.

return date_cols[0]

if date_parser is lib.no_default:
strs = parsing.concat_date_cols(date_cols)
date_fmt = (
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20 changes: 20 additions & 0 deletions pandas/tests/io/parser/test_parse_dates.py
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Expand Up @@ -2217,3 +2217,23 @@ def test_parse_dates_dict_format_index(all_parsers):
index=Index([Timestamp("2019-12-31"), Timestamp("2020-12-31")], name="a"),
)
tm.assert_frame_equal(result, expected)


def test_parse_dates_arrow_engine(all_parsers):
# GH#53295
parser = all_parsers
data = """a,b
2000-01-01 00:00:00,1
2000-01-01 00:00:01,1"""

result = parser.read_csv(StringIO(data), parse_dates=["a"])
expected = DataFrame(
{
"a": [
Timestamp("2000-01-01 00:00:00"),
Timestamp("2000-01-01 00:00:01"),
],
"b": 1,
}
)
tm.assert_frame_equal(result, expected)