def var(
        self, axis=None, skipna=None, level=None, ddof=1, numeric_only=None, **kwargs
    ):
        """Computes variance across the DataFrame.

        Args:
            axis (int): The axis to take the variance on.
            skipna (bool): True to skip NA values, false otherwise.
            ddof (int): degrees of freedom

        Returns:
            The variance of the DataFrame.
        """
        axis = self._get_axis_number(axis) if axis is not None else 0
        if numeric_only is not None and not numeric_only:
            self._validate_dtypes(numeric_only=True)
        return self._reduce_dimension(
            self._query_compiler.var(
                axis=axis,
                skipna=skipna,
                level=level,
                ddof=ddof,
                numeric_only=numeric_only,
                **kwargs
            )
        )
def var ( self , axis = None , skipna = None , level = None , ddof = 1 , numeric_only = None , ** kwargs ) : axis = self . _get_axis_number ( axis ) if axis is not None else 0 if numeric_only is not None and not numeric_only : self . _validate_dtypes ( numeric_only = True ) return self . _reduce_dimension ( self . _query_compiler . var ( axis = axis , skipna = skipna , level = level , ddof = ddof , numeric_only = numeric_only , ** kwargs ) )
Computes variance across the DataFrame.

        Args:
            axis (int): The axis to take the variance on.
            skipna (bool): True to skip NA values, false otherwise.
            ddof (int): degrees of freedom

        Returns:
            The variance of the DataFrame.