Created
September 26, 2020 10:29
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print(df.rolling(3).apply(lambda x: sum(x)-min(x))) | |
num | |
0 NaN | |
1 NaN | |
2 3.0 | |
3 5.0 | |
4 7.0 | |
5 9.0 | |
6 11.0 | |
7 13.0 | |
8 15.0 | |
9 17.0 | |
print(df.rolling(3).agg([sum, min, lambda x: sum(x)-min(x)])) | |
sum min <lambda> | |
0 NaN NaN NaN | |
1 NaN NaN NaN | |
2 3.0 0.0 3.0 | |
3 6.0 1.0 5.0 | |
4 9.0 2.0 7.0 | |
5 12.0 3.0 9.0 | |
6 15.0 4.0 11.0 | |
7 18.0 5.0 13.0 | |
8 21.0 6.0 15.0 | |
9 24.0 7.0 17.0 |
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