pandas.core.window.expanding.Expanding.sem

Expanding.sem(ddof=1, *args, **kwargs)[source]

Calculate the expanding standard error of mean.

Parameters
ddofint, default 1

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

*args

For NumPy compatibility and will not have an effect on the result.

**kwargs

For NumPy compatibility and will not have an effect on the result.

Returns
Series or DataFrame

Return type is the same as the original object.

See also

pandas.Series.expanding

Calling expanding with Series data.

pandas.DataFrame.expanding

Calling expanding with DataFrames.

pandas.Series.sem

Aggregating sem for Series.

pandas.DataFrame.sem

Aggregating sem for DataFrame.

Notes

A minimum of one period is required for the calculation.

Examples

>>> s = pd.Series([0, 1, 2, 3])

>>> s.expanding().sem()
0         NaN
1    0.707107
2    0.707107
3    0.745356
dtype: float64
pandas.core.window.expanding.Expanding.quantile pandas.core.window.ewm.ExponentialMovingWindow.mean