pandas 在熊猫中运行总和（无循环）
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Running sum in pandas (without loop)
提问by leo
I'd like to build a running sum over a pandas dataframe. I have something like:
我想在 Pandas 数据帧上构建一个运行总和。我有类似的东西：
10/10/2012: 50, 0
10/11/2012: -10, 90
10/12/2012: 100, -5
And I would like to get:
我想得到：
10/10/2012: 50, 0
10/11/2012: 40, 90
10/12/2012: 140, 85
So every cell should be the sum of itself and all previous cells, how should I do this without using a loop.
所以每个单元格都应该是它自己和所有先前单元格的总和，我应该如何在不使用循环的情况下做到这一点。
回答by Andy Hayden
As @JonClements mentions, you can do this using the cumsumDataFrame method:
正如@JonClements 提到的，您可以使用cumsumDataFrame 方法执行此操作：
from pandas import DataFrame
df = DataFrame({0: {'10/10/2012': 50, '10/11/2012': -10, '10/12/2012': 100}, 1: {'10/10/2012': 0, '10/11/2012': 90, '10/12/2012': -5}})
In [3]: df
Out[3]:
0 1
10/10/2012 50 0
10/11/2012 -10 90
10/12/2012 100 -5
In [4]: df.cumsum()
Out[4]:
0 1
10/10/2012 50 0
10/11/2012 40 90
10/12/2012 140 85
