def getjson(filename):
#M2E = MidasToEvaSDA.SDA(filename)
M2E = SDA(filename)
M2E.versionMID = 2
M2E.extractXML()
M2E.getStartFreq(None)
M2E.getStopFreq(None)
M2E.getStartTime(None)
M2E.getEndTime(None)
M2E.getNumFreqSteps(None)
M2E.getNumCycles()
M2E.getCycleTime()
M2E.getElem(None)
M2E.getZ(None)
M2E.collectMdumpData()
M2E.reorganizeMdumpData()
M2E.binMdumpData(0.2, 200)
bindata = M2E.getbindata()
numFreq = M2E.numfreqsteps
jsonData = []
for i in xrange(len(bindata)):
hist = Counter(bindata[i])
for j in hist:
jsonData.append({'f': i % numFreq, 'c': j, 'N': hist[j]})
return jsonData
def getjson(filename):
#M2E = MidasToEvaSDA.SDA(filename)
M2E = SDA(filename)
M2E.versionMID = 2
M2E.extractXML()
M2E.getStartFreq(None)
M2E.getStopFreq(None)
M2E.getStartTime(None)
M2E.getEndTime(None)
M2E.getNumFreqSteps(None)
M2E.getNumCycles()
M2E.getCycleTime()
M2E.getElem(None)
M2E.getZ(None)
M2E.collectMdumpData()
M2E.reorganizeMdumpData()
M2E.binMdumpData(0.2, 200)
bindata = M2E.getbindata()
numFreq = M2E.numfreqsteps
jsonData = []
for i in xrange(len(bindata)):
hist = Counter(bindata[i])
for j in hist:
jsonData.append({'f': i % numFreq, 'c': j, 'N': hist[j]})
return jsonData
def getjson(filename):
'''Extract the TOF data from the given filename and create
a JSON data structure from it.
f: The position in the frequency list
c: The tof channel of a count
N: Number of ions counted in channel 'c'
countclass: the total number of ions in the event
invcc: 1/countclass -> A hack to get the count class histogram
to appear correctly in prcview.html
'''
M2E = SDA(filename)
M2E.versionMID = 2
M2E.extractXML()
M2E.getStartFreq(None)
M2E.getStopFreq(None)
M2E.getStartTime(None)
M2E.getEndTime(None)
M2E.getNumFreqSteps(None)
M2E.getNumCycles()
M2E.getCycleTime()
M2E.getElem(None)
M2E.getZ(None)
M2E.collectMdumpData()
M2E.reorganizeMdumpData()
M2E.binMdumpData(0.2, 200)
bindata = M2E.getbindata()
numFreq = M2E.numfreqsteps
jsonData = []
for i in xrange(len(bindata)):
hist = Counter(bindata[i])
countclass = sum(hist.values())
if countclass == 0:
invcc = 0
else:
invcc = 1. / float(countclass)
for j in hist:
jsonData.append({
'f': i % numFreq,
'c': j,
'N': hist[j],
'countclass': countclass,
'invcc': invcc
})
return jsonData
def getjson(filename):
'''Extract the TOF data from the given filename and create
a JSON data structure from it.
f: The position in the frequency list
c: The tof channel of a count
N: Number of ions counted in channel 'c'
countclass: the total number of ions in the event
invcc: 1/countclass -> A hack to get the count class histogram
to appear correctly in prcview.html
'''
M2E = SDA(filename)
M2E.versionMID = 2
M2E.extractXML()
M2E.getStartFreq(None)
M2E.getStopFreq(None)
M2E.getStartTime(None)
M2E.getEndTime(None)
M2E.getNumFreqSteps(None)
M2E.getNumCycles()
M2E.getCycleTime()
M2E.getElem(None)
M2E.getZ(None)
M2E.collectMdumpData()
M2E.reorganizeMdumpData()
M2E.binMdumpData(0.2, 200)
bindata = M2E.getbindata()
numFreq = M2E.numfreqsteps
jsonData = []
for i in xrange(len(bindata)):
hist = Counter(bindata[i])
countclass = sum(hist.values())
if countclass == 0:
invcc = 0
else:
invcc = 1. / float(countclass)
for j in hist:
jsonData.append({'f': i % numFreq, 'c': j, 'N': hist[j],
'countclass': countclass,
'invcc': invcc})
return jsonData