@doc(template_header, create_section_header('Parameters'), dedent('\n        bias : bool, default False\n            Use a standard estimation bias correction.\n        ').replace('\n', '', 1), args_compat, kwargs_compat, create_section_header('Returns'), template_returns, create_section_header('See Also'), template_see_also[:(- 1)], window_method='ewm', aggregation_description='(exponential weighted moment) standard deviation', agg_method='std')
def std(self, bias: bool=False, *args, **kwargs):
    nv.validate_window_func('std', args, kwargs)
    return zsqrt(self.var(bias=bias, **kwargs))
@doc(template_header, create_section_header('Parameters'), dedent('\n        bias : bool, default False\n            Use a standard estimation bias correction.\n        ').replace('\n', , 1), args_compat, kwargs_compat, create_section_header('Returns'), template_returns, create_section_header('See Also'), template_see_also[:(- 1)], window_method='ewm', aggregation_description='(exponential weighted moment) standard deviation', agg_method='std')
def std(self, bias: bool=False, *args, **kwargs):
    nv.validate_window_func('std', args, kwargs)
    return zsqrt(self.var(bias=bias, **kwargs))