删除 2 列的行并从下一行向上移动
[英]Remove rows of 2 columns and shifting up from the next row
问题描述
How do I remove each row for column a and b and replace a and b from the next row?
如何删除 a 和 b 列的每一行并从下一行替换 a 和 b？ I am not sure how to do this in an efficient way because I have a big dataset.我不确定如何以有效的方式执行此操作，因为我有一个大数据集。
My dataframe我的数据框
╔═══════════════════════════╗
║ Name a b c d ║
╠═══════════════════════════╣
║ Lisa 5 4 1 3 ║
║ Timmy 3 2 7 2 ║
║ Rann 2 3 1 5 ║
║ Bob 1 6 3 4 ║
╚═══════════════════════════╝
I want to change it into this我想把它改成这个
╔══════════════════════════════════════════╗
║ Name c d a b ║
╠══════════════════════════════════════════╣
║ Lisa 1 3 3 2 ║
║ Timmy 7 2 2 3 ║
║ Rann 1 5 1 6 ║
║ Bob 3 4 (a & b from next row) ║
╚══════════════════════════════════════════╝
a and b for Lisa is replaced with Timmy's a and b, Timmy is replaced by Rann and so on. Lisa 的 a 和 b 替换为 Timmy 的 a 和 b，Timmy 替换为 Rann 等。 How should I do this without hard-coding it?如果没有硬编码，我应该如何做到这一点？
1 个解决方案
解决方案1
3 已采纳 2020-03-11 04:09:22
You can simply use pandas.DataFrame.shift function to achieve that您可以简单地使用pandas.DataFrame.shift函数来实现
df[['a','b']] = df[['a','b']].shift(-1)
Out:出去：
Name a b c d
0 Lisa 3.0 2.0 1 3
1 Timmy 2.0 3.0 7 2
2 Rann 1.0 6.0 1 5
3 Bob NaN NaN 3 4
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