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DataFrame.var(axis=None, skipna=None, level=None, ddof=1, numeric_only=None, **kwargs)
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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
ddof : int, default 1
degrees of freedom
numeric_only : boolean, default None
Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data. Not implemented for Series.
Returns: var : Series or DataFrame (if level specified)
DataFrame.var()
2017-01-12 04:46:51
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