英文:
Find difference between column X of first row with column Y of second Row
问题
我对pandas很陌生，我在pandas中有以下数据集：
这里我想找到第一行的上限与第二行的下限之间的差异。
简而言之，我想找到df[0].upper和df1.lower之间的差异。
我可以通过循环遍历行来实现这一点，但数据集很大，我有时间限制。是否有任何预先构建的pandas/numpy函数可以帮助我更快地完成这个任务？
英文:
I am very new to pandas,
i have following data set in pandas:
here i want to find the difference between the upper of first row with lower of second row
in short i want to find difference between
df[0].upper and df1.lower
i can acheive this by looping through the rows but the data set is huge and i have time constraint. is there any pre-built pandas/numpy function that will help me do this quicker?
答案1
得分: 1
使用shift(-1)，然后只需相减
df['difference'] = df['upper'] - df['lower'].shift(-1)
英文:
Use shift(-1) and then just subtract
df['difference'] = df['upper'] - df['lower'].shift(-1)
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