本文整理汇总了Python中mantid.simpleapi.CreateWorkspace.readX方法的典型用法代码示例。如果您正苦于以下问题：Python CreateWorkspace.readX方法的具体用法？Python CreateWorkspace.readX怎么用？Python CreateWorkspace.readX使用的例子？那么恭喜您, 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mantid.simpleapi.CreateWorkspace的用法示例。
在下文中一共展示了CreateWorkspace.readX方法的5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_create_with_2D_numpy_array
# 需要导入模块: from mantid.simpleapi import CreateWorkspace [as 别名]
# 或者: from mantid.simpleapi.CreateWorkspace import readX [as 别名]
def test_create_with_2D_numpy_array(self):
x = np.array([1.,2.,3.,4.])
y = np.array([[1.,2.,3.],[4.,5.,6.]])
e = np.sqrt(y)
wksp = CreateWorkspace(DataX=x, DataY=y,DataE=e,NSpec=2,UnitX='TOF')
self.assertTrue(isinstance(wksp, MatrixWorkspace))
self.assertEquals(wksp.getNumberHistograms(), 2)
for i in [0,1]:
for j in range(len(y[0])):
self.assertEquals(wksp.readY(i)[j], y[i][j])
self.assertEquals(wksp.readE(i)[j], e[i][j])
self.assertEquals(wksp.readX(i)[j], x[j])
# Last X value
self.assertEquals(wksp.readX(i)[len(x)-1], x[len(x)-1])
AnalysisDataService.remove("wksp")示例2: test_create_with_1D_numpy_array
# 需要导入模块: from mantid.simpleapi import CreateWorkspace [as 别名]
# 或者: from mantid.simpleapi.CreateWorkspace import readX [as 别名]
def test_create_with_1D_numpy_array(self):
x = np.array([1.,2.,3.,4.])
y = np.array([1.,2.,3.])
e = np.sqrt(np.array([1.,2.,3.]))
wksp = CreateWorkspace(DataX=x, DataY=y,DataE=e,NSpec=1,UnitX='TOF')
self.assertTrue(isinstance(wksp, MatrixWorkspace))
self.assertEquals(wksp.getNumberHistograms(), 1)
self.assertEquals(len(wksp.readY(0)), len(y))
self.assertEquals(len(wksp.readX(0)), len(x))
self.assertEquals(len(wksp.readE(0)), len(e))
for index in range(len(y)):
self.assertEquals(wksp.readY(0)[index], y[index])
self.assertEquals(wksp.readE(0)[index], e[index])
self.assertEquals(wksp.readX(0)[index], x[index])
# Last X value
self.assertEquals(wksp.readX(0)[len(x)-1], x[len(x)-1])
AnalysisDataService.remove("wksp")示例3: test_with_data_from_other_workspace
# 需要导入模块: from mantid.simpleapi import CreateWorkspace [as 别名]
# 或者: from mantid.simpleapi.CreateWorkspace import readX [as 别名]
def test_with_data_from_other_workspace(self):
wsname = 'LOQ'
alg = run_algorithm('Load', Filename='LOQ48127.raw', OutputWorkspace=wsname, SpectrumMax=2, child=True)
loq = alg.getProperty("OutputWorkspace").value
x = loq.extractX()
y = loq.extractY()
e = loq.extractE()
wksp = CreateWorkspace(DataX=x, DataY=y,DataE=e,NSpec=2,UnitX='Wavelength')
self.assertTrue(isinstance(wksp, MatrixWorkspace))
self.assertEquals(wksp.getNumberHistograms(), 2)
for i in [0,1]:
for j in range(len(y[0])):
self.assertEquals(wksp.readY(i)[j], loq.readY(i)[j])
self.assertEquals(wksp.readE(i)[j], loq.readE(i)[j])
self.assertEquals(wksp.readX(i)[j], loq.readX(i)[j])
# Last X value
self.assertEquals(wksp.readX(i)[len(x)-1], loq.readX(i)[len(x)-1])
AnalysisDataService.remove("wksp")示例4: test_with_data_from_other_workspace
# 需要导入模块: from mantid.simpleapi import CreateWorkspace [as 别名]
# 或者: from mantid.simpleapi.CreateWorkspace import readX [as 别名]
def test_with_data_from_other_workspace(self):
wsname = 'LOQ'
x1 = np.array([1.,2.,3.,4.])
y1 = np.array([[1.,2.,3.],[4.,5.,6.]])
e1 = np.sqrt(y1)
loq = CreateWorkspace(DataX=x1, DataY=y1,DataE=e1,NSpec=2,UnitX='Wavelength')
x2 = loq.extractX()
y2 = loq.extractY()
e2 = loq.extractE()
wksp = CreateWorkspace(DataX=x2, DataY=y2,DataE=e2,NSpec=2,UnitX='Wavelength')
self.assertTrue(isinstance(wksp, MatrixWorkspace))
self.assertEquals(wksp.getNumberHistograms(), 2)
for i in [0,1]:
for j in range(len(y2[0])):
self.assertEquals(wksp.readY(i)[j], loq.readY(i)[j])
self.assertEquals(wksp.readE(i)[j], loq.readE(i)[j])
self.assertEquals(wksp.readX(i)[j], loq.readX(i)[j])
# Last X value
self.assertEquals(wksp.readX(i)[len(x2)-1], loq.readX(i)[len(x2)-1])
AnalysisDataService.remove("wksp")示例5: test_container_input_workspace_not_unintentionally_rebinned
# 需要导入模块: from mantid.simpleapi import CreateWorkspace [as 别名]
# 或者: from mantid.simpleapi.CreateWorkspace import readX [as 别名]
def test_container_input_workspace_not_unintentionally_rebinned(self):
xs = numpy.array([0.0, 1.0, 0.0, 1.1])
ys = numpy.array([2.2, 3.3])
sample_1 = CreateWorkspace(DataX=xs, DataY=ys, NSpec=2,
UnitX='Wavelength')
ys = numpy.array([0.11, 0.22])
container_1 = CreateWorkspace(DataX=xs, DataY=ys, NSpec=2,
UnitX='Wavelength')
corrected = ApplyPaalmanPingsCorrection(SampleWorkspace=sample_1,
CanWorkspace=container_1)
numHisto = container_1.getNumberHistograms()
for i in range(numHisto):
container_xs = container_1.readX(i)
for j in range(len(container_xs)):
self.assertEqual(container_xs[j], xs[i * numHisto + j])
DeleteWorkspace(sample_1)
DeleteWorkspace(container_1)
DeleteWorkspace(corrected)