本文整理汇总了Python中mantid.simpleapi.CreateWorkspace.mutableRun方法的典型用法代码示例。如果您正苦于以下问题：Python CreateWorkspace.mutableRun方法的具体用法？Python CreateWorkspace.mutableRun怎么用？Python CreateWorkspace.mutableRun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.mutableRun方法的4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: createTestWorkspace
# 需要导入模块: from mantid.simpleapi import CreateWorkspace [as 别名]
# 或者: from mantid.simpleapi.CreateWorkspace import mutableRun [as 别名]
def createTestWorkspace(self):
""" Create a workspace for testing against with ideal log values
"""
from mantid.simpleapi import CreateWorkspace
from mantid.simpleapi import AddSampleLog
from time import gmtime, strftime,mktime
import numpy as np
# Create a matrix workspace
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')
# Add run_start
tmptime = strftime("%Y-%m-%d %H:%M:%S", gmtime(mktime(gmtime())))
AddSampleLog(Workspace=wksp,LogName='run_start',LogText=str(tmptime))
tsp_a=kernel.FloatTimeSeriesProperty("SensorA")
tsp_b=kernel.FloatTimeSeriesProperty("SensorB")
tsp_c=kernel.FloatTimeSeriesProperty("SensorC")
for i in arange(25):
tmptime = strftime("%Y-%m-%d %H:%M:%S", gmtime(mktime(gmtime())+i))
tsp_a.addValue(tmptime, 1.0*i*i)
tsp_b.addValue(tmptime, 2.0*i*i)
tsp_c.addValue(tmptime, 3.0*i*i)
wksp.mutableRun()['SensorA']=tsp_a
wksp.mutableRun()['SensorB']=tsp_b
wksp.mutableRun()['SensorC']=tsp_c
return wksp示例2: createTestWorkspace
# 需要导入模块: from mantid.simpleapi import CreateWorkspace [as 别名]
# 或者: from mantid.simpleapi.CreateWorkspace import mutableRun [as 别名]
def createTestWorkspace(self, run=23456):
""" Create a workspace for testing against with ideal log values
"""
from mantid.simpleapi import CreateWorkspace
from mantid.simpleapi import AddSampleLog
from time import gmtime, strftime,mktime
import numpy as np
# Create a matrix workspace
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')
# Add run_start
tmptime = strftime("%Y-%m-%d %H:%M:%S", gmtime(mktime(gmtime())))
AddSampleLog(Workspace=wksp,LogName='run_start',LogText=str(tmptime))
tsp_a=kernel.FloatTimeSeriesProperty("proton_charge")
tsp_b=kernel.FloatTimeSeriesProperty("SensorA")
for i in arange(25):
tmptime = strftime("%Y-%m-%d %H:%M:%S", gmtime(mktime(gmtime())+i))
if run == 23456:
shift = 0
else:
shift = int(run)
tsp_a.addValue(tmptime, 1.0*i*i + shift)
tsp_b.addValue(tmptime, 1.234*(i+1))
wksp.mutableRun()['run_number']=str(run)
wksp.mutableRun()['duration']=342.3
wksp.mutableRun()['SensorA'] = tsp_b
wksp.mutableRun()['proton_charge']=tsp_a
return wksp示例3: createTestWorkspace2
# 需要导入模块: from mantid.simpleapi import CreateWorkspace [as 别名]
# 或者: from mantid.simpleapi.CreateWorkspace import mutableRun [as 别名]
def createTestWorkspace2(self):
""" Create a workspace for testing against with more situation
"""
from mantid.simpleapi import CreateWorkspace
from mantid.simpleapi import AddSampleLog
from time import gmtime, strftime,mktime
from datetime import datetime, timedelta
import numpy as np
# Create a matrix workspace
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')
# Add run_start
year = 2014
month = 2
day = 15
hour = 13
minute = 34
second = 3
dtimesec = 0.0010
timefluc = 0.0001
#tmptime = strftime("%Y-%m-%d %H:%M:%S", gmtime(mktime(gmtime())))
runstart = datetime(year, month, day, hour, minute, second)
AddSampleLog(Workspace=wksp,LogName='run_start',LogText=str(runstart))
tsp_a = kernel.FloatTimeSeriesProperty("SensorA")
tsp_b = kernel.FloatTimeSeriesProperty("SensorB")
tsp_c = kernel.FloatTimeSeriesProperty("SensorC")
tsp_d = kernel.FloatTimeSeriesProperty("SensorD")
logs = [tsp_a, tsp_b, tsp_c, tsp_d]
dbbuf = ""
random.seed(0)
for i in arange(25):
# Randomly pick up log without records
# first iteration must have all the record
skiploglist = []
if i > 0:
numnorecord = random.randint(-1, 4)
if numnorecord > 0:
for j in xrange(numnorecord):
logindex = random.randint(0, 6)
skiploglist.append(logindex)
# ENDFOR (j)
# ENDIF (numnorecord)
# ENDIF (i)
dbbuf += "----------- %d -------------\n" % (i)
# Record
for j in xrange(4):
# Skip if selected
if j in skiploglist:
continue
# get random time shifts
timeshift = (random.random()-0.5)*timefluc
if i == 0:
# first record should have the 'exactly' same time stamps
timeshift *= 0.0001
deltatime = timedelta(i*dtimesec + timeshift)
tmptime = str(runstart + deltatime)
tmpvalue = float(i*i*6)+j
logs[j].addValue(tmptime, tmpvalue)
dbbuf += "%s: %s = %d\n" % (logs[j].name, tmptime, tmpvalue)
# ENDFOR (j)
# ENDFOR (i)
# print dbbuf
wksp.mutableRun()['SensorA']=tsp_a
wksp.mutableRun()['SensorB']=tsp_b
wksp.mutableRun()['SensorC']=tsp_c
wksp.mutableRun()['SensorD']=tsp_d
return wksp示例4: createTestWorkspace2
# 需要导入模块: from mantid.simpleapi import CreateWorkspace [as 别名]
# 或者: from mantid.simpleapi.CreateWorkspace import mutableRun [as 别名]
def createTestWorkspace2(self):
""" Create a workspace for testing against with more situation
"""
from mantid.simpleapi import CreateWorkspace
from mantid.simpleapi import AddSampleLog
import numpy
from numpy import datetime64, timedelta64
#from time import gmtime, strftime,mktime # in debug prints
# Create a matrix workspace
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')
# Add run_start
dtimesec = 0.0010
timefluc = 0.0001
runstart = '2014-02-15T13:34:03'
# older numpy assumes local timezone
if LooseVersion(numpy.__version__) < LooseVersion('1.9'):
runstart = runstart + 'Z'
runstart = datetime64(runstart, 'us') # microsecond needed for deltas
AddSampleLog(Workspace=wksp,LogName='run_start',LogText=str(runstart))
tsp_a = kernel.FloatTimeSeriesProperty("SensorA")
tsp_b = kernel.FloatTimeSeriesProperty("SensorB")
tsp_c = kernel.FloatTimeSeriesProperty("SensorC")
tsp_d = kernel.FloatTimeSeriesProperty("SensorD")
logs = [tsp_a, tsp_b, tsp_c, tsp_d]
dbbuf = ""
np.random.seed(0)
for i in np.arange(25):
# Randomly pick up log without records
# first iteration must have all the record
skiploglist = []
if i > 0:
numnorecord = np.random.randint(-1, 4)
if numnorecord > 0:
for j in range(numnorecord):
logindex = np.random.randint(0, 6)
skiploglist.append(logindex)
# ENDFOR (j)
# ENDIF (numnorecord)
# ENDIF (i)
dbbuf += "----------- %d -------------\n" % (i)
# Record
for j in range(4):
# Skip if selected
if j in skiploglist:
continue
# get random time shifts
timeshift = (np.random.random()-0.5)*timefluc
if i == 0:
# first record should have the 'exactly' same time stamps
timeshift *= 0.0001
deltatime = i*dtimesec + timeshift # fraction of a day
deltatime = timedelta64(int(deltatime * 24 * 3600 * 1e6), 'us') # timedelta64 requires int
tmptime = runstart + deltatime
tmpvalue = float(i*i*6)+j
logs[j].addValue(tmptime, tmpvalue)
#dbbuf += "{}: {} = {}\n".format(logs[j].name, tmptime, tmpvalue)
# ENDFOR (j)
# ENDFOR (i)
#print(dbbuf)
wksp.mutableRun()['SensorA']=tsp_a
wksp.mutableRun()['SensorB']=tsp_b
wksp.mutableRun()['SensorC']=tsp_c
wksp.mutableRun()['SensorD']=tsp_d
return wksp