def getTimeinCenterMulti(datasets, windowSize= None, tRange=None, stateRange=None):
durations = []
if tRange is not None:
endWindow = tRange[-1]
else:
for i in range(len(datasets)):
tracking = datasets[i]['warpedTracking']
if stateRange is not None:
_,et,_,_ = aba.state_to_time(datasets[i], stateRange[1])
durations.append(et-tracking[0,0])
else:
durations.append(datasets[i]['warpedTracking'][-1,0]-datasets[i]['warpedTracking'][0,0])
endWindow = np.min(durations)
windowsize = 30
if windowSize is not None:
windowsize = windowSize
ticks = np.arange(0,endWindow, windowsize)
eTimeinCenter = np.zeros((len(datasets),len(ticks)-1))
for i in range(len(ticks)-1):
startT = ticks[i]
endT = ticks[i+1]
for d in range(len(datasets)):
eTimeinCenter[d,i] = aba.getPercentTimeinCenter(datasets[d], tRange=[startT, endT])
return eTimeinCenter
