TNTdm = DataMatrix(length=4)
TNTdm.efficiency = 'Fe','Fd','Ff','Fc'
TNTdm.score = (TNTdES.Fe,TNTdES.Fd,TNTdES.Ff,TNTdES.Fc)
print('TNT Run-1 Power & Efficiency Matrix:')
print(TNTdm)
TNTeffTOT = list(TNTdm.score)
TNTeffSUM = sum(TNTeffTOT)
print("TNT Run-1 Power & Efficiency Sum: "+str(TNTeffSUM))
TNTconditions = list(TNTpseudM.condition)
TNTtrialDm = DataMatrix(length=124)
TNTtrialDm.condition = (TNTconditions)
TNTtrialDm.order = (TNTdES.order)
TNTtrialDm.ITI = (TNTdES.ITI)
TNTtrialDm.onset = (TNTdES.onsets)
print('TNT Run-1 Trial Order Matrix:')
print(TNTtrialDm)
#print("Condition oder:")
#print(TNTorder)
#print("Interstimulus Intervals:")
#print(TNTdES.ITI)#[:120])
#print("Condition Onsets")
#print(TNTdES.onsets)#[:120])
# plot convolution model
plt.plot(TNTdES.Xconv)
