modin.pandas.TimedeltaIndex¶

class modin.pandas.TimedeltaIndex(data: ArrayLike | native_pd.Index | Series | None = None, unit: str | lib.NoDefault = _NoDefault.no_default, freq: Frequency | lib.NoDefault = _NoDefault.no_default, dtype: Dtype | None = None, copy: bool = False, name: Hashable | None = None, query_compiler: SnowflakeQueryCompiler = None)[source] (https://github.com/snowflakedb/snowpark-python/blob/v1.26.0/snowpark-python/src/snowflake/snowpark/modin/plugin/extensions/timedelta_index.py#L53-L491)¶

Bases: Index

Methods

as_unit(unit)	Convert to a dtype with the given unit resolution.
ceil(freq)	Perform ceil operation on the data to the specified freq.
floor(freq)	Perform floor operation on the data to the specified freq.
mean(*[, skipna, axis])	Return the mean value of the Timedelta values.
round(freq)	Perform round operation on the data to the specified freq.
to_pytimedelta()	Return an ndarray of datetime.timedelta objects.
total_seconds()	Return total duration of each element expressed in seconds.

Attributes

components	Return a DataFrame of the individual resolution components of the Timedeltas.
days	Number of days for each element.
inferred_freq	Tries to return a string representing a frequency generated by infer_freq.
microseconds	Number of microseconds (>= 0 and less than 1 second) for each element.
nanoseconds	Number of nonoseconds (>= 0 and less than 1 microsecond) for each element.
seconds	Number of seconds (>= 0 and less than 1 day) for each element.