nbr=np.max(df['block2'])
print nbr
liste=np.arange(shotstart,shotend)
listefile=[]
for x in liste:
listefile.append(str(x).zfill(5)+'_Data.h5')
j=2
timediff=datetime.timedelta(minutes=1,seconds=0)
timecorrection=datetime.timedelta(minutes=2,seconds=0)
#path=r"D:"+os.sep+"DATA"+os.sep+"Acquired_data"
#path=env.path
for x in listefile:
#timei=datetime.datetime.strptime(time.ctime(os.path.getmtime(path+os.sep+x+'.h5')),"%a %b %d %H:%M:%S %Y")
try:
#timea=readHdf5.getAttr(x,'date',env)
timea=sm.getAttr(h5.getNbrfromFile([x])[0],'Date')
print timea
#timei=datetime.datetime.strptime(timea,'%d.%m.%Y %H:%M:%S')
timei=timea
#print x
matched=False
while not(matched):
data0=df[df['block']==j]['Time'].values
print data0
timef=datetime.datetime.utcfromtimestamp((data0[0]- np.datetime64('1970-01-01T00:00:00Z')) / np.timedelta64(1, 's'))
print timei,(timef+timecorrection),timef
timef=timef+timecorrection
if timei>timef:
deltat=timei-timef
else:
deltat=timef-timei