예제 #1
0
 def test_skewness(self):
     # Returns < 0.0 (few low values).
     v = metrics.skewness([1,100,101,102,103])
     self.assertTrue(v < 0.0)
     # Returns > 0.0 (few high values).
     v = metrics.skewness([1,2,3,4,100])
     self.assertTrue(v > 0.0)
     # Returns 0.0 (evenly distributed).
     v = metrics.skewness([1,2,3,4])
     self.assertTrue(v == 0.0)
예제 #2
0
 def test_skewness(self):
     # Assert < 0.0 (few low values).
     v = metrics.skewness([1,100,101,102,103])
     self.assertTrue(v < 0.0)
     # Assert > 0.0 (few high values).
     v = metrics.skewness([1,2,3,4,100])
     self.assertTrue(v > 0.0)
     # Assert 0.0 (evenly distributed).
     v = metrics.skewness([1,2,3,4])
     self.assertTrue(v == 0.0)
     print("pattern.metrics.skewness()")
예제 #3
0
 def test_skewness(self):
     # Assert < 0.0 (few low values).
     v = metrics.skewness([1, 100, 101, 102, 103])
     self.assertTrue(v < 0.0)
     # Assert > 0.0 (few high values).
     v = metrics.skewness([1, 2, 3, 4, 100])
     self.assertTrue(v > 0.0)
     # Assert 0.0 (evenly distributed).
     v = metrics.skewness([1, 2, 3, 4])
     self.assertTrue(v == 0.0)
     print("pattern.metrics.skewness()")