def calc(carg):
# calculate the actual result
carg = carg.astype(object)
parsed = parsing.try_parse_year_month_day(carg / 10000,
carg / 100 % 100,
carg % 100)
return tslib.array_to_datetime(parsed, errors=errors)
def parse_date_fields(year_col, month_col, day_col):
"""
Parse columns with years, months and days into a single date column.
.. deprecated:: 1.2
"""
warnings.warn(
"""
Use pd.to_datetime({"year": year_col, "month": month_col, "day": day_col}) instead to get a Pandas Series.
Use ser = pd.to_datetime({"year": year_col, "month": month_col, "day": day_col}) and
np.array([s.to_pydatetime() for s in ser]) instead to get a Numpy array.
""", # noqa: E501
FutureWarning,
stacklevel=find_stack_level(),
)
year_col = _maybe_cast(year_col)
month_col = _maybe_cast(month_col)
day_col = _maybe_cast(day_col)
return parsing.try_parse_year_month_day(year_col, month_col, day_col)
def parse_date_fields(year_col, month_col, day_col):
year_col = _maybe_cast(year_col)
month_col = _maybe_cast(month_col)
day_col = _maybe_cast(day_col)
return parsing.try_parse_year_month_day(year_col, month_col, day_col)
