pandas.timedelta_range¶
-
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: - start : string or timedelta-like, default None
Left bound for generating timedeltas
- end : string or timedelta-like, default None
Right bound for generating timedeltas
- periods : integer, default None
Number of periods to generate
- freq : string or DateOffset, default ‘D’
Frequency strings can have multiples, e.g. ‘5H’
- name : string, default None
Name of the resulting TimedeltaIndex
- closed : string, default None
Make the interval closed with respect to the given frequency to the ‘left’, ‘right’, or both sides (None)
Returns: - rng : TimedeltaIndex
Notes
Of the four parameters
start,end,periods, andfreq, exactly three must be specified. Iffreqis omitted, the resultingTimedeltaIndexwill haveperiodslinearly spaced elements betweenstartandend(closed on both sides).To learn more about the frequency strings, please see this link.
Examples
>>> pd.timedelta_range(start='1 day', periods=4) TimedeltaIndex(['1 days', '2 days', '3 days', '4 days'], dtype='timedelta64[ns]', freq='D')
The
closedparameter specifies which endpoint is included. The default behavior is to include both endpoints.>>> pd.timedelta_range(start='1 day', periods=4, closed='right') TimedeltaIndex(['2 days', '3 days', '4 days'], dtype='timedelta64[ns]', freq='D')
The
freqparameter specifies the frequency of the TimedeltaIndex. Only fixed frequencies can be passed, non-fixed frequencies such as ‘M’ (month end) will raise.>>> pd.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='6H')
Specify
start,end, andperiods; the frequency is generated automatically (linearly spaced).>>> pd.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)