如果您正在使用这样的数组进行大量数值工作，我建议您使用 numpy，带有累积求和函数cumsum:

If you're doing much numerical work with arrays like this, I'd suggest numpy, which comes with a cumulative sum function cumsum:

import numpy as np

a = [4,6,12]

np.cumsum(a)
#array([4, 10, 22])

在这种情况下，Numpy 通常比纯 Python 更快，请参阅与 @Ashwini 的 accumu 的比较:

Numpy is often faster than pure python for this kind of thing, see in comparison to @Ashwini's accumu:

In [136]: timeit list(accumu(range(1000)))
10000 loops, best of 3: 161 us per loop

In [137]: timeit list(accumu(xrange(1000)))
10000 loops, best of 3: 147 us per loop

In [138]: timeit np.cumsum(np.arange(1000))
100000 loops, best of 3: 10.1 us per loop

当然，如果它是您唯一使用 numpy 的地方，那么可能不值得依赖它.

But of course if it's the only place you'll use numpy, it might not be worth having a dependence on it.