Here's the data in csv format:
Name 2012 2013 2014 2015 2016 2017 2018 2019 2020
Jack 1 15 25 3 5 11 5 8 3
Jill 5 10 32 5 5 14 6 8 7
I don't want Name column to be include as it gives an error.
I tried
df.cumsum()
Try with set_index
and reset_index
to keep the name column:
df.set_index('Name').cumsum().reset_index()
Output:
Name 2012 2013 2014 2015 2016 2017 2018 2019 2020
0 Jack 1 15 25 3 5 11 5 8 3
1 Jill 6 25 57 8 10 25 11 16 10
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