pandas.DataFrame.var¶
- DataFrame.var(axis=None, skipna=None, level=None, ddof=1, **kwargs)¶
Return unbiased variance over requested axis.
Normalized by N-1 by default. This can be changed using the ddof argument
Parameters : axis : {index (0), columns (1)}
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 Series
numeric_only : boolean, default None
Include only float, int, boolean data. If None, will attempt to use everything, then use only numeric data
Returns : var : Series or DataFrame (if level specified)