pandas.Timedelta#

class pandas.Timedelta(value=<object object>, unit=None, **kwargs)#

Represents a duration, the difference between two dates or times.

Timedelta is the pandas equivalent of python’s datetime.timedelta and is interchangeable with it in most cases.

Parameters

valueTimedelta, timedelta, np.timedelta64, str, or int

unitstr, default ‘ns’

Denote the unit of the input, if input is an integer.

Possible values:

‘W’, ‘D’, ‘T’, ‘S’, ‘L’, ‘U’, or ‘N’
‘days’ or ‘day’
‘hours’, ‘hour’, ‘hr’, or ‘h’
‘minutes’, ‘minute’, ‘min’, or ‘m’
‘seconds’, ‘second’, or ‘sec’
‘milliseconds’, ‘millisecond’, ‘millis’, or ‘milli’
‘microseconds’, ‘microsecond’, ‘micros’, or ‘micro’
‘nanoseconds’, ‘nanosecond’, ‘nanos’, ‘nano’, or ‘ns’.

**kwargs

Available kwargs: {days, seconds, microseconds, milliseconds, minutes, hours, weeks}. Values for construction in compat with datetime.timedelta. Numpy ints and floats will be coerced to python ints and floats.

Notes

The constructor may take in either both values of value and unit or kwargs as above. Either one of them must be used during initialization

The .value attribute is always in ns.

If the precision is higher than nanoseconds, the precision of the duration is truncated to nanoseconds.

Examples

Here we initialize Timedelta object with both value and unit

>>> td = pd.Timedelta(1, "d")
>>> td
Timedelta('1 days 00:00:00')

Here we initialize the Timedelta object with kwargs

>>> td2 = pd.Timedelta(days=1)
>>> td2
Timedelta('1 days 00:00:00')

We see that either way we get the same result

Attributes

`asm8`	Return a numpy timedelta64 array scalar view.
`components`	Return a components namedtuple-like.
`days`	Number of days.
`delta`	Return the timedelta in nanoseconds (ns), for internal compatibility.
`microseconds`	Number of microseconds (>= 0 and less than 1 second).
`nanoseconds`	Return the number of nanoseconds (n), where 0 <= n < 1 microsecond.
`resolution_string`	Return a string representing the lowest timedelta resolution.
`seconds`	Number of seconds (>= 0 and less than 1 day).

freq
is_populated
value

Methods

`ceil`(freq)	Return a new Timedelta ceiled to this resolution.
`floor`(freq)	Return a new Timedelta floored to this resolution.
`isoformat`	Format Timedelta as ISO 8601 Duration like `P[n]Y[n]M[n]DT[n]H[n]M[n]S`, where the `[n]` s are replaced by the values.
`round`(freq)	Round the Timedelta to the specified resolution.
`to_numpy`	Convert the Timedelta to a NumPy timedelta64.
`to_pytimedelta`	Convert a pandas Timedelta object into a python `datetime.timedelta` object.
`to_timedelta64`	Return a numpy.timedelta64 object with 'ns' precision.
`total_seconds`	Total seconds in the duration.
`view`	Array view compatibility.

pandas.DatetimeTZDtype.tz

pandas.Timedelta.asm8