8000 WIP BUG: Inconsistent date parsing of to_datetime by arw2019 · Pull Request #35428 · pandas-dev/pandas · GitHub
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WIP BUG: Inconsistent date parsing of to_datetime #35428

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Closed
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WIP BUG: Inconsistent date parsing of to_datetime #35428

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007a761
added warnings when parse inconsistent with dayfirst arg
arw2019 Jul 27, 2020
56175ea
improved error message
arw2019 Jul 27, 2020
7ce9722
TST: added tests
arw2019 Jul 27, 2020
6424c41
removed trailing whitespaces
arw2019 Jul 27, 2020
cfad817
removed pytest.warns
arw2019 Jul 27, 2020
efd2539
Merge remote-tracking branch 'upstream/master' into to_datetime-incon…
arw2019 Aug 1, 2020
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improved error message
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@arw2019
arw2019 committed Jul 27, 2020
commit 56175ea0d4f11f829e83ea4b216b8e931a162779
8 changes: 4 additions & 4 deletions pandas/_libs/tslibs/parsing.pyx
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Expand Up @@ -161,16 +161,16 @@ cdef inline object _parse_delimited_date(str date_string, bint dayfirst):
# in C api, thus we call faster C version for 3.6.1 or newer

if dayfirst and not swapped_day_and_month:
warnings.warn(f"Parsing {date_string} MM/DD format.")
warnings.warn(f"Parsing '{date_string}' in MM/DD/YYYY format.")
elif not dayfirst and swapped_day_and_month:
warnings.warn(f"Parsing {date_string} DD/MM format.")
warnings.warn(f"Parsing '{date_string}' in DD/MM/YYYY format.")

return datetime_new(year, month, day, 0, 0, 0, 0, None), reso

if dayfirst and not swapped_day_and_month:
warnings.warn(f"Parsing {date_string} MM/DD format.")
warnings.warn(f"Parsing '{date_string}' in MM/DD/YYYY format.")
elif not dayfirst and swapped_day_and_month:
warnings.warn(f"Parsing {date_string} DD/MM format.")
warnings.warn(f"Parsing '{date_string}' in DD/MM/YYYY format.")

return datetime(year, month, day, 0, 0, 0, 0, None), reso

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