BUG: warning shown when parsing delimited date string even if users … · pandas-dev/pandas@113bdb3 (original) (raw)
`@@ -85,12 +85,6 @@ class DateParseError(ValueError):
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`_DEFAULT_DATETIME = datetime(1, 1, 1).replace(hour=0, minute=0,
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`second=0, microsecond=0)
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``
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PARSING_WARNING_MSG = (
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"Parsing dates in {format} format when dayfirst={dayfirst} was specified. "
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"This may lead to inconsistently parsed dates! Specify a format "
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"to ensure consistent parsing."
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)
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``
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`cdef:
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`set _not_datelike_strings = {"a", "A", "m", "M", "p", "P", "t", "T"}
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``
`@@ -203,28 +197,10 @@ cdef object _parse_delimited_date(str date_string, bint dayfirst):
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`# date_string can't be converted to date, above format
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`return None, None
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swapped_day_and_month = False
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`if 1 <= month <= MAX_DAYS_IN_MONTH and 1 <= day <= MAX_DAYS_IN_MONTH \
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`and (month <= MAX_MONTH or day <= MAX_MONTH):
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`if (month > MAX_MONTH or (day <= MAX_MONTH and dayfirst)) and can_swap:
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` day, month = month, day
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swapped_day_and_month = True
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if dayfirst and not swapped_day_and_month:
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warnings.warn(
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PARSING_WARNING_MSG.format(
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format="MM/DD/YYYY",
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dayfirst="True",
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),
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stacklevel=find_stack_level(),
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)
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elif not dayfirst and swapped_day_and_month:
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warnings.warn(
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PARSING_WARNING_MSG.format(
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format="DD/MM/YYYY",
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dayfirst="False (the default)",
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),
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stacklevel=find_stack_level(),
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)
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`# In Python <= 3.6.0 there is no range checking for invalid dates
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`# in C api, thus we call faster C version for 3.6.1 or newer
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`return datetime_new(year, month, day, 0, 0, 0, 0, None), reso
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