def __new__(cls, data: Series):
# CombinedDatetimelikeProperties isn't really instantiated. Instead
# we need to choose which parent (datetime or timedelta) is
# appropriate. Since we're checking the dtypes anyway, we'll just
# do all the validation here.
if not isinstance(data, ABCSeries):
raise TypeError(
f"cannot convert an object of type {type(data)} to a datetimelike index"
)
orig = data if is_categorical_dtype(data.dtype) else None
if orig is not None:
data = data._constructor(
orig.array,
name=orig.name,
copy=False,
dtype=orig._values.categories.dtype,
)
if is_datetime64_dtype(data.dtype):
return DatetimeProperties(data, orig)
elif is_datetime64tz_dtype(data.dtype):
return DatetimeProperties(data, orig)
elif is_timedelta64_dtype(data.dtype):
return TimedeltaProperties(data, orig)
elif is_period_dtype(data.dtype):
return PeriodProperties(data, orig)
raise AttributeError(
"Can only use .dt accessor with datetimelike values")
def wrap_result(obj: Series, result: np.ndarray) -> Series:
"""
Wrap a single 1D result.
"""
obj = obj._selected_obj
return obj._constructor(result, obj.index, name=obj.name)
