def test_max_row_var_with_nans(self):
"""tests maximum row variance with NaNs"""
matrix = [[1, np.nan, 9],
[np.nan, 6, 10],
[3, 7, np.nan],
[4, 8, 12]]
result = util.max_row_var(matrix)
self.assertAlmostEqual(16.0, result)
def test_max_row_var(self):
"""tests maximum row variance function"""
matrix = [[1, 5, 9, 13],
[2, 6, 10, 14],
[3, 7, 11, 15],
[4, 8, 12, 16]]
result = util.max_row_var(matrix)
self.assertAlmostEqual(26.666666666666664, result)
def row_variance(self):
if self.__row_variance is None:
self.__row_variance = util.max_row_var(self.values)
return self.__row_variance
def row_variance(self):
if self.__row_variance is None:
self.__row_variance = util.max_row_var(self.values)
return self.__row_variance
def test_max_row_var_with_nans(self):
"""tests maximum row variance with NaNs"""
matrix = [[1, np.nan, 9], [np.nan, 6, 10], [3, 7, np.nan], [4, 8, 12]]
result = util.max_row_var(matrix)
self.assertAlmostEqual(16.0, result)
def test_max_row_var(self):
"""tests maximum row variance function"""
matrix = [[1, 5, 9, 13], [2, 6, 10, 14], [3, 7, 11, 15],
[4, 8, 12, 16]]
result = util.max_row_var(matrix)
self.assertAlmostEqual(26.666666666666664, result)
