parameters: (self, bias=False, *args, **kwargs)
return_statement: return self._apply(f, **kwargs)
docstring: Exponential weighted moving variance.
docstring_summary: Exponential weighted moving variance.
docstring_tokens: Exponential weighted moving variance .
function: def var(self, bias=False, *args, **kwargs):
          """
          Exponential weighted moving variance.
          """
          nv.validate_window_func("var", args, kwargs)
  
          def f(arg):
              return window_aggregations.ewmcov(
                  arg,
                  arg,
                  self.com,
                  int(self.adjust),
                  int(self.ignore_na),
                  int(self.min_periods),
                  int(bias),
              )
  
          return self._apply(f, **kwargs)
function_tokens: def var ( self , bias = False , * args , * * kwargs ) : nv . validate_window_func ( "var" , args , kwargs ) def f ( arg ) : return window_aggregations . ewmcov ( arg , arg , self . com , int ( self . adjust ) , int ( self . ignore_na ) , int ( self . min_periods ) , int ( bias ) , ) return self . _apply ( f , * * kwargs )