# 5 examples of 'python standard deviation' in Python

Every line of 'python standard deviation' code snippets is scanned for vulnerabilities by our powerful machine learning engine that combs millions of open source libraries, ensuring your Python code is secure. ## All examples are scanned by Snyk Code

By copying the Snyk Code Snippets you agree to
``100def standard_deviation(self):101    """Standard deviation of the distribution."""102    clean, total = self._prepare_for_stats()103    if not total:104        return None105106    return math.sqrt(clean.variance())``
``592def test_standard_deviation(self):593    result = standard_deviation(594        Array.from_list([[20, 20, 20, 18, 25, 19, 20, 20, 20, 20, 40, 30, 1, 50, 1, 1, 5, 1, 20, 20],595                         [20, 20, 20, 2, 19, 1, 20, 20, 20, 1, 15, 1, 30, 1, 1, 18, 4, 1, 20, 20]], dtype.f32)).to_numpy()596    self.assertAlmostEqual(result, 12.363150892875165, delta=1e-4)597    self.assertAlmostEqual(result, 9.51367436903324, delta=1e-4)``
``232def standardDeviation(self):233    sd = MU.SD(self.msm)234    return sd``
``105def _get_std_deviation(self):106    variance = sum((t - self.mean)**2 for t in self.times)107    return (variance / self.total_count) ** 0.5``
``373def standard_deviation(self, data):374    """Compute the standard deviation.375376    The corresponding FORTRAN code is377378    .. code-block:: fortran379380        function standard_deviation(a, n) result(var)381            !DEC\$ ATTRIBUTES DLLEXPORT, ALIAS:'standard_deviation' :: standard_deviation382            integer :: n ! the length of the array383            double precision :: var, a(n)384            var = SUM(a)/SIZE(a) ! SUM is a built-in fortran function385            var = SQRT(SUM((a-var)**2)/(SIZE(a)-1.0))386        end function standard_deviation387388    See the corresponding 64-bit :meth:`~.fortran64.Fortran64.standard_deviation` method.389390    Parameters391    ----------392    data : :class:`list` of :class:`float`393        The data to compute the standard deviation of.394395    Returns396    -------397    :class:`float`398        The standard deviation of `data`.399    """400    n = len(data)401    nc = ctypes.c_int32(n)402    datac = (ctypes.c_double * n)(*data)403    self.lib.standard_deviation.restype = ctypes.c_double404    return self.lib.standard_deviation(ctypes.byref(datac), ctypes.byref(nc))``