modin.pandas.DatetimeIndex.std

DatetimeIndex.std(axis=None, dtype=None, out=None, ddof: int = 1, keepdims: bool = False, skipna: bool = True)[source]

Return sample standard deviation over requested axis.

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

Parameters:

  • axis (int, optional) – Axis for the function to be applied on. For pandas.Series this parameter is unused and defaults to None.

  • ddof (int, default 1) – Degrees of Freedom. The divisor used in calculations is N - ddof, where N represents the number of elements.

  • skipna (bool, default True) – Exclude NA/null values. If an entire row/column is NA, the result will be NA.

Return type:

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=None)
>>> idx.std()  
Timedelta('1 days 00:00:00')
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