code: def var(self, bias=False, *args, **kwargs):
          
          nv.validate_window_func('var', args, kwargs)
  
          def f(arg):
              return libwindow.ewmcov(arg, arg, self.com, int(self.adjust),
                                      int(self.ignore_na), int(self.min_periods),
                                      int(bias))
  
          return self._apply(f, **kwargs)
docs: Exponential weighted moving variance.