def gettrialstats(subjects): return [ np.array([ stats.meanstd( [t.total_seconds() for t in np.diff(s.rewards)]) for s in a ]) for a in subjects ]
def gettrialstats(subjects): return [ np.array([ stats.meanstd([ np.mean(t, axis=0)[1] for t in s.tolist()[slice(1, None)] ]) for s in a ]) for a in subjects ]
def gettrialstats(subjects): #return [np.array([stats.meanstd([np.mean(t,axis=0)[1] return [ np.array([ stats.meanstd([ np.shape(t)[0] / 120.0 for t in s.tolist()[slice(1, None)] ]) for s in a ]) for a in subjects ]
def gettrialstats(subjects): return [np.array([stats.meanstd([np.mean(t,axis=0)[1] for t in s.tolist()[slice(1,None)]]) for s in a]) for a in subjects]
def gettrialstats(subjects): return [np.array([stats.meanstd([t.total_seconds() for t in np.diff(s.rewards)]) for s in a]) for a in subjects]
def gettrialstats(subjects): #return [np.array([stats.meanstd([np.mean(t,axis=0)[1] return [np.array([stats.meanstd([np.shape(t)[0] / 120.0 for t in s.tolist()[slice(1,None)]]) for s in a]) for a in subjects]