本文整理汇总了Python中ert.util.Matrix.scaleRow方法的典型用法代码示例。如果您正苦于以下问题：Python Matrix.scaleRow方法的具体用法？Python Matrix.scaleRow怎么用？Python Matrix.scaleRow使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类ert.util.Matrix的用法示例。
在下文中一共展示了Matrix.scaleRow方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_matrix_scale
# 需要导入模块: from ert.util import Matrix [as 别名]
# 或者: from ert.util.Matrix import scaleRow [as 别名]
def test_matrix_scale(self):
m = Matrix(2,2 , value = 1)
m.scaleColumn(0 , 2)
self.assertEqual(2 , m[0,0])
self.assertEqual(2 , m[1,0])
m.setAll(1)
m.scaleRow(1 , 2 )
self.assertEqual(2 , m[1,0])
self.assertEqual(2 , m[1,1])
with self.assertRaises(IndexError):
m.scaleColumn(10 , 99)
with self.assertRaises(IndexError):
m.scaleRow(10 , 99)示例2: calculatePrincipalComponent
# 需要导入模块: from ert.util import Matrix [as 别名]
# 或者: from ert.util.Matrix import scaleRow [as 别名]
def calculatePrincipalComponent(self, fs, local_obsdata, truncation_or_ncomp=3):
pc = Matrix(1, 1)
pc_obs = Matrix(1, 1)
singular_values = DoubleVector()
state_map = fs.getStateMap()
ens_mask = BoolVector(False, self.ert().getEnsembleSize())
state_map.selectMatching(ens_mask, RealizationStateEnum.STATE_HAS_DATA)
active_list = BoolVector.createActiveList(ens_mask)
if len(active_list) > 0:
state = EnkfStateType.FORECAST
meas_data = MeasData(active_list)
obs_data = ObsData()
self.ert().getObservations().getObservationAndMeasureData(fs, local_obsdata, state, active_list, meas_data, obs_data)
meas_data.deactivateZeroStdSamples(obs_data)
active_size = len(obs_data)
if active_size > 0:
S = meas_data.createS(active_size)
D_obs = obs_data.createDobs(active_size)
truncation, ncomp = self.truncationOrNumberOfComponents(truncation_or_ncomp)
obs_data.scale(S, D_obs=D_obs)
EnkfLinalg.calculatePrincipalComponents(S, D_obs, truncation, ncomp, pc, pc_obs, singular_values)
if self.__prior_singular_values is None:
self.__prior_singular_values = singular_values
else:
for row in range(pc.rows()):
factor = singular_values[row]/self.__prior_singular_values[row]
pc.scaleRow( row , factor )
pc_obs.scaleRow( row , factor )
return PcaPlotData(local_obsdata.getName(), pc , pc_obs , singular_values)
return None