pandas.Series.sem¶
- Series.sem(axis=None, skipna=None, level=None, ddof=1, numeric_only=None, **kwargs)¶
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)}
skipna : boolean, default True
Exclude NA/null values. If an entire row/column is NA, the result will be NA
level : int or level name, default None
If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a scalar
ddof : int, default 1
degrees of freedom
numeric_only : boolean, default None
Include only float, int, boolean data. If None, will attempt to use everything, then use only numeric data
Returns: sem : scalar or Series (if level specified)