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]
