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100 def standard_deviation(self): 101 """Standard deviation of the distribution.""" 102 clean, total = self._prepare_for_stats() 103 if not total: 104 return None 105 106 return math.sqrt(clean.variance())
232 def standardDeviation(self): 233 sd = MU.SD(self.msm) 234 return sd
592 def 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[0], 12.363150892875165, delta=1e-4) 597 self.assertAlmostEqual(result[1], 9.51367436903324, delta=1e-4)