pandas.DataFrame.sem#
- DataFrame.sem(axis=None, skipna=True, ddof=1, numeric_only=False, **kwargs)[source]#
Return unbiased standard error of the mean over requested axis.
Normalized by N-1 by default. This can be changed using the ddof argument
- Parameters
- axis{index (0), columns (1)}
For Series this parameter is unused and defaults to 0.
- skipnabool, default True
Exclude NA/null values. If an entire row/column is NA, the result will be NA.
- ddofint, default 1
Delta Degrees of Freedom. The divisor used in calculations is N - ddof, where N represents the number of elements.
- numeric_onlybool, default False
Include only float, int, boolean columns. Not implemented for Series.
- Returns
- Series or DataFrame (if level specified)