Question

我有这个数据框：

       person code  year            Height                Size ...
0   73163529000108  2013      6.293900e+07        6.292900e+07
1   73163529000108  2012      5.206400e+07        5.282500e+07
2   73163529000108  2014      7.293900e+07        5.292900e+07
3   68402163000134  2013      3.225900e+07        2.389000e+06
4   68402163000134  2012      5.779300e+07        5.304800e+07
...

我希望包括一个＆＃34; Height Year Growth＆＃34;和＆＃34;规模年增长＆＃34;列，所以它看起来像这样：

       person code  year        Height  Height Y Growth          Size ...
0   73163529000108  2013  6.293900e+07           0.2096  6.292900e+07
1   73163529000108  2012  5.206400e+07                   5.282500e+07
2   73163529000108  2014  7.293900e+07           0,1589  5.292900e+07
3   68402163000134  2013  3.225900e+07                   2.389000e+06
4   68402163000134  2012  5.779300e+07          -0.4419  5.304800e+07  
...

我不介意它出来的格式，我只需要它可扩展。我很难接受它。有人可以建议替代方案吗？

Answer 1

您正在寻找pct_change

df[['YC','SC']]=df.sort_values(['year']).groupby('personcode')[['Height','Size']].pct_change()
df
Out[1083]: 
       personcode  year  Height    Size        YC        SC
0  73163529000108  2013  6.2939  6.2929  0.208878  0.191273
1  73163529000108  2012  5.2064  5.2825       NaN       NaN
2  73163529000108  2014  7.2939  5.2929  0.158884 -0.158909
3  68402163000134  2013  3.2259  2.3890 -0.441818 -0.549653
4  68402163000134  2012  5.7793  5.3048       NaN       NaN

计算Pandas中列的年增长率

1 个答案: