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 toNone
.- 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 beNA
.
- 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')