def __init__(self,inputfile,outputfile,featureName):

self.inputfile = inputfile

self.outputfile = outputfile

self.featureName = featureName

def processNan(self):

df = pd.read_csv(self.inputfile,sep='\t')

df[ self.featureName] = df.loc[df[self.featureName].notnull(), self.featureName].map(lambda x: str(x).replace('nan', '0'))

df.loc[df[ self.featureName].isnull(), self.featureName] = ','.join([str(0)] * 59)

def __init__(self,inputFile):

self.engine = matlab.engine.start_matlab()

self.data = pd.read_csv(inputFile,sep='\t')

def extract_hrv(self,stri):

hrv = [float(i) for i in stri.split(',')]

res = []

try:

hrv_feature = self.engine.hrv_means(matlab.double(hrv))

for (d, x) in hrv_feature.items():

if(isinstance(x, dict)):

for (k,v) in x.items():

res.append(str(v))

else:

res.append(str(x))

except:

print('Exception in %s'%stri.strip())