本文整理汇总了Python中mantid.simpleapi.CreateWorkspace.mutableRun()["SensorC"]方法的典型用法代码示例。如果您正苦于以下问题：Python CreateWorkspace.mutableRun()["SensorC"]方法的具体用法？Python CreateWorkspace.mutableRun()["SensorC"]怎么用？Python CreateWorkspace.mutableRun()["SensorC"]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()["SensorC"]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: createTestWorkspace
# 需要导入模块: from mantid.simpleapi import CreateWorkspace [as 别名]
# 或者: from mantid.simpleapi.CreateWorkspace import mutableRun()["SensorC"] [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([1.0, 2.0, 3.0, 4.0])
y = np.array([1.0, 2.0, 3.0])
e = np.sqrt(np.array([1.0, 2.0, 3.0]))
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: createTestWorkspace2
# 需要导入模块: from mantid.simpleapi import CreateWorkspace [as 别名]
# 或者: from mantid.simpleapi.CreateWorkspace import mutableRun()["SensorC"] [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([1.0, 2.0, 3.0, 4.0])
y = np.array([1.0, 2.0, 3.0])
e = np.sqrt(np.array([1.0, 2.0, 3.0]))
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