生成一个依赖于该列之前值的列 scala/python

Question

I need to generate a column that depends on the previous value of that column. The formula would be something like this:

active customers t = actives customers in t-1 + hires in t - cancelations in t

The data set I have has the new hirings and cancelation column and the cumulative active policies is my desired output.

Both scala or python alternatives are welcome! Thanks!!

Answer 1

You can solve this problem which seems of a cummulative nature with the function .cumsum() :

df['active customers t'] = (df['New Hirings'] - df['Cancelation']).cumsum()

Output:

   New Hirings  Cancelations  Cumulative Active Customers
0            1             1                            0
1            1             0                            1
2            2             0                            3
3            2             0                            5
4            5             1                            9
5            0             1                            8
6            7             0                           15
7            2             3                           14
8            0             2                           12
9            2             1                           13

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