def parse_all_fields(year_col, month_col, day_col, hour_col, minute_col,
second_col):
"""
Parse columns with datetime information into a single datetime column.
.. deprecated:: 1.2
"""
warnings.warn(
"""
Use pd.to_datetime({"year": year_col, "month": month_col, "day": day_col,
"hour": hour_col, "minute": minute_col, second": second_col}) instead to get a Pandas Series.
Use ser = pd.to_datetime({"year": year_col, "month": month_col, "day": day_col,
"hour": hour_col, "minute": minute_col, second": second_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)
hour_col = _maybe_cast(hour_col)
minute_col = _maybe_cast(minute_col)
second_col = _maybe_cast(second_col)
return parsing.try_parse_datetime_components(year_col, month_col, day_col,
hour_col, minute_col,
second_col)
def parse_all_fields(year_col, month_col, day_col, hour_col, minute_col, second_col):
year_col = _maybe_cast(year_col)
month_col = _maybe_cast(month_col)
day_col = _maybe_cast(day_col)
hour_col = _maybe_cast(hour_col)
minute_col = _maybe_cast(minute_col)
second_col = _maybe_cast(second_col)
return parsing.try_parse_datetime_components(
year_col, month_col, day_col, hour_col, minute_col, second_col
)
def parse_all_fields(year_col, month_col, day_col, hour_col, minute_col,
second_col):
year_col = _maybe_cast(year_col)
month_col = _maybe_cast(month_col)
day_col = _maybe_cast(day_col)
hour_col = _maybe_cast(hour_col)
minute_col = _maybe_cast(minute_col)
second_col = _maybe_cast(second_col)
return parsing.try_parse_datetime_components(year_col, month_col, day_col,
hour_col, minute_col,
second_col)