def getDiscriptiveTwoTalkWithWidth(inpath, Start,End, nameFiles, DynEnd, Width,GoT): #get discription information of the data #width mean how long do you want to check the characteristics #DynEnd dynamic ending ori = [] for nameFile in nameFiles: print (nameFile) for i in [1,2]: print (i) (dataTHroot, dataTSroot, dataGroot) = ATS.readInput(inpath, nameFile,i) if DynEnd: #using dynamic ending (yTH, xTH) = (dataTHroot.shape) (yTS, xTS) = (dataTSroot.shape) (yG, xG) = (dataGroot.shape) End = np.amin(np.asarray([yTH,yTS,yG])) #get the actual end time dataTHroot = ATS.shortenData(dataTHroot,Start,End) dataTSroot = ATS.shortenData(dataTSroot,Start,End) dataGroot = ATS.shortenData(dataGroot,Start,End) dataTHSroot = combinedTwoTalkTogether(dataTHroot,dataTSroot) j = 0 while j < End: startSub = j if j+Width > End: endSub = End else: endSub = j+Width dataG = ATS.shortenData(dataGroot,startSub,endSub) dataTHS = ATS.shortenData(dataTHSroot,startSub,endSub) if GoT == 0: dataGTHS = ATS.combineData(dataG,dataTHS,endSub) else: dataGTHS = ATS.combineData(dataTHS,dataG,endSub) ori = updateDiscriptiveDataForBothTalks(ori,dataGTHS,GoT,nameFile,i,j) j = j + Width return ori
def getReliability(inpath, Start, End, GoTSize):
BoC = np.zeros((End, GoTSize), dtype=np.float64) #best of coder
ori = []
for i in ["52", "65", "79"]:
for j in ["C1", "C2"]:
for root, dirs, files in walk(inpath):
BoC = np.zeros((End, GoTSize),
dtype=np.float64) #best of coder
for file in files:
if file.endswith(".csv"):
if i in file and j in file:
print(file)
nameOutput = file
data = np.genfromtxt(join(root, file),
dtype=np.float64,
delimiter=',')
dyad = int(splitext(file)[0][2:4])
conv = int(splitext(file)[0][6:7])
coder = int(getCoderName(splitext(file)[0][15:17]))
beg = getDyadCovCoderInfor(dyad, conv, coder,
End) #beg is begining
data = AT.shortenData(data, Start, End)
combData = AT.combineData(beg, data, End)
ori.extend(combData)
BoC = bestOfCoderTag(BoC, data, coder, End)
data = getBestOfCoderTag(BoC, End)
beg = getDyadCovCoderInfor(dyad, conv, 105, End)
combData = np.c_[beg, data]
ori.extend(combData)
time = np.arange(End).reshape([End, 1])
output = np.c_[time, data]
np.savetxt(nameOutput + "_combined.csv",
output,
fmt='%1.3f',
delimiter=',')
return ori
def getDiscriptiveTalkWithWidth(inpath, Start,End, nameFiles, DynEnd, Width,TalkType,Person): #get discription information of the data #width mean how long do you want to check the characteristics #DynEnd dynamic ending #GazeType ori = [] for nameFile in nameFiles: print (nameFile) for i in [1,2]: print (i) (dataTHroot, dataTSroot, dataGroot) = ATS.readInput(inpath, nameFile,i) if DynEnd: #using dynamic ending (yTH, xTH) = (dataTHroot.shape) (yTS, xTS) = (dataTSroot.shape) (yG, xG) = (dataGroot.shape) End = np.amin(np.asarray([yTH,yTS,yG])) #get the actual end time dataTHroot = ATS.shortenData(dataTHroot,Start,End) dataTSroot = ATS.shortenData(dataTSroot,Start,End) dataGroot = ATS.shortenData(dataGroot,Start,End) j = 0 while j < End: startSub = j if j+ Width > End: endSub = End else: endSub = j+Width dataTH = ATS.shortenData(dataTHroot,startSub,endSub) dataTS = ATS.shortenData(dataTSroot,startSub,endSub) dataG = ATS.shortenData(dataGroot,startSub,endSub) if Person == 'H': dataGTH = ATS.combineData(dataTH,dataG,endSub) dataGTHS = ATS.combineData(dataGTH,dataTS,endSub) else: dataGTS = ATS.combineData(dataTS,dataG,endSub) dataGTHS = ATS.combineData(dataGTS,dataTH,endSub) #print (dataGTHS) dataGTHS = formatOneCollumnOfData(dataGTHS,1,TalkType) ori = updateDiscriptiveData(ori,dataGTHS,1,nameFile,i,j) j = j + Width # for i in ori: # print (i) return ori