pandas.Series.sem#

Series.sem(axis=None, skipna=True, level=None, ddof=1, numeric_only=None, **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)}: 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.
levelint or level name, default None: If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a scalar.

Deprecated since version 1.3.0: The level keyword is deprecated. Use groupby instead.
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 None: Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data. Not implemented for Series.

Deprecated since version 1.5.0: Specifying numeric_only=None is deprecated. The default value will be False in a future version of pandas.

Returns