pyspark.pandas.timedelta_range#
- pyspark.pandas.timedelta_range(start=None, end=None, periods=None, freq=None, name=None, closed=None)[source]#
Return a fixed frequency TimedeltaIndex, with day as the default frequency.
- Parameters
- startstr or timedelta-like, optional
Left bound for generating timedeltas.
- endstr or timedelta-like, optional
Right bound for generating timedeltas.
- periodsint, optional
Number of periods to generate.
- freqstr or DateOffset, default ‘D’
Frequency strings can have multiples, e.g. ‘5H’.
- namestr, default None
Name of the resulting TimedeltaIndex.
- closed{None, ‘left’, ‘right’}, optional
Make the interval closed with respect to the given frequency to the ‘left’, ‘right’, or both sides (None, the default).
- Returns
- TimedeltaIndex
Notes
Of the four parameters
start
,end
,periods
, andfreq
, exactly three must be specified. Iffreq
is omitted, the resultingTimedeltaIndex
will haveperiods
linearly spaced elements betweenstart
andend
(closed on both sides).To learn more about the frequency strings, please see this link.
Examples
>>> ps.timedelta_range(start='1 day', periods=4) TimedeltaIndex(['1 days', '2 days', '3 days', '4 days'], dtype='timedelta64[ns]', freq=None)
The closed parameter specifies which endpoint is included. The default behavior is to include both endpoints.
>>> ps.timedelta_range(start='1 day', periods=4, closed='right') ... TimedeltaIndex(['2 days', '3 days', '4 days'], dtype='timedelta64[ns]', freq=None)
The freq parameter specifies the frequency of the TimedeltaIndex. Only fixed frequencies can be passed, non-fixed frequencies such as ‘M’ (month end) will raise.
>>> ps.timedelta_range(start='1 day', end='2 days', freq='6H') ... TimedeltaIndex(['1 days 00:00:00', '1 days 06:00:00', '1 days 12:00:00', '1 days 18:00:00', '2 days 00:00:00'], dtype='timedelta64[ns]', freq=None)
Specify start, end, and periods; the frequency is generated automatically (linearly spaced).
>>> ps.timedelta_range(start='1 day', end='5 days', periods=4) ... TimedeltaIndex(['1 days 00:00:00', '2 days 08:00:00', '3 days 16:00:00', '5 days 00:00:00'], dtype='timedelta64[ns]', freq=None)