pandas.DatetimeIndex.std#

DatetimeIndex.std(*args, **kwargs)[source]#

Return sample standard deviation over requested axis.

Normalized by N-1 by default. This can be changed using ddof.

Parameters
axisint, optional

Axis for the function to be applied on. For pandas.Series this parameter is unused and defaults to None.

ddofint, default 1

Degrees of Freedom. The divisor used in calculations is N - ddof, where N represents the number of elements.

skipnabool, default True

Exclude NA/null values. If an entire row/column is NA, the result will be NA.

Returns
Timedelta

See also

numpy.ndarray.std

Returns the standard deviation of the array elements along given axis.

Series.std

Return sample standard deviation over requested axis.

Examples

For pandas.DatetimeIndex:

>>> idx = pd.date_range('2001-01-01 00:00', periods=3)
>>> idx
DatetimeIndex(['2001-01-01', '2001-01-02', '2001-01-03'],
              dtype='datetime64[ns]', freq='D')
>>> idx.std()
Timedelta('1 days 00:00:00')