modin.pandas.Rolling.sem¶

Rolling.sem(ddof: int = 1, numeric_only: bool = False, *args: Any, **kwargs: Any)[source]¶

Calculate the rolling standard error of mean.

Parameters:

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

• numeric_only (bool, default False) – Include only float, int, boolean columns.

Returns:

Return type is the same as the original object with np.float64 dtype.

Return type:

Series or DataFrame

Examples

>>> s = pd.Series([0, 1, 2, 3])
>>> s.rolling(2, min_periods=1).sem()
0         NaN
1    0.707107
2    0.707107
3    0.707107
dtype: float64

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