timedelta_range(start=None, end=None, periods: 'int | None' = None, freq=None, name=None, closed=None) -> 'TimedeltaIndex'
Of the four parameters start
, end
, periods
, and freq
, exactly three must be specified. If freq
is omitted, the resulting TimedeltaIndex
will have periods
linearly spaced elements between start
and end
(closed on both sides).
To learn more about the frequency strings, please see :None:None:`this link
<https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases>`
.
Left bound for generating timedeltas.
Right bound for generating timedeltas.
Number of periods to generate.
Frequency strings can have multiples, e.g. '5H'.
Name of the resulting TimedeltaIndex.
Make the interval closed with respect to the given frequency to the 'left', 'right', or both sides (None).
Return a fixed frequency TimedeltaIndex, with day as the default frequency.
>>> pd.timedelta_range(start='1 day', periods=4) TimedeltaIndex(['1 days', '2 days', '3 days', '4 days'], dtype='timedelta64[ns]', freq='D')
The closed
parameter 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 freq
parameter 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
, and periods
; 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)See :
The following pages refer to to this document either explicitly or contain code examples using this.
pandas.core.indexes.datetimes.date_range
pandas.core.indexes.timedeltas.TimedeltaIndex
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