Pandas groupby cumulative sum ignore current row

Question

I know there's some questions about this topic (like Pandas: Cumulative sum of one column based on value of another ) however, none of them fuull fill my requirements.

Let's say I have a dataframe like this one

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I want to compute the cumulative sum of Cost grouping by month, avoiding taking into account the current value, in order to get the Desired column.By using groupby and cumsum I obtain colum CumSum

.

The DDL to generate the dataframe is

df = pd.DataFrame({'Month': [1,1,1,2,2,1,3],
                   'Cost': [5,8,10,1,3,4,1]})

Answer 1

IIUC you can use groupby.cumsum and then just subtract cost ;

df['cumsum_'] = df.groupby('Month').Cost.cumsum().sub(df.Cost)

print(df)

    Month  Cost  cumsum_
0      1     5        0
1      1     8        5
2      1    10       13
3      2     1        0
4      2     3        1
5      1     4       23
6      3     1        0

Answer 2

You can do the following:

df['agg']=df.groupby('Month')['Cost'].shift().fillna(0)
df['Cumsum']=df['Cost']+df['agg']