我可以使用pandas.Series数学在a和b上执行以下操作而不显式循环吗?
In [38]: a = pd.Series([4, 8, 3, 6, 2])
In [39]: b = pd.Series([3, 9, 5, 5, 4])
In [40]: alist = a.tolist()
...: blist = b.tolist()
...: for i in range(len(alist)):
...: diff = max(0, alist[i] - blist[i])
...: try:
...: alist[i + 1] = alist[i + 1] + diff
...: except IndexError:
...: if diff > 0:
...: alist.append(diff)
...: blist[i] = max(0, blist[i] - alist[i])
...:
In [41]: alist
Out[41]: [4, 9, 3, 6, 3]
In [42]: blist
Out[42]: [0, 0, 2, 0, 1]
如果它大于零,我将使用a和b的差值递增a的下一个值,然后从该累积和类似的计算中减去b.
解决方法:
这是使用numpy的一种方式:
import numpy as np
a += np.maximum(0, a-b).shift().fillna(0).astype(int)
b = np.maximum(0, b - a)
print(a)
0 4
1 9
2 3
3 6
4 3
dtype: int64
print(b)
0 0
1 0
2 2
3 0
4 1
dtype: int64
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