def inner(self, source, target):
(left, right, delay) = super().inner(source, target)
for (i, _) in target.range(self.window):
r = target.readings.ix[i]
if nd.complete(r):
dly = round(r.travel.mean())
j = i.shift(dly)
l = source.readings.ix[j]
if nd.complete(l):
delay.append(dly)
for (x, y) in zip((left, right), (l, r)):
x.append(y.speed.mean())
return (left, right, delay)
def inner_(self, source, target):
(left, right, delay) = super().inner(source, target)
for i in target.readings.index:
rng = pd.date_range(i, periods=self.window.observation,
freq=target.freq)
r = target.readings.loc[rng]
if nd.complete(r):
dly = round(r.travel.mean())
l = source.readings.loc[rng.shift(dly)]
if nd.complete(l):
delay.append(dly)
for (x, y) in zip((left, right), (l, r)):
x.append(y.speed.mean())
return (left, right, delay)
