根据groupby分割 pandas 数据框

问题描述:

我想基于ZZ列拆分以下数据框

I want to split the following dataframe based on column ZZ

df = 
        N0_YLDF  ZZ        MAT
    0  6.286333   2  11.669069
    1  6.317000   6  11.669069
    2  6.324889   6  11.516454
    3  6.320667   5  11.516454
    4  6.325556   5  11.516454
    5  6.359000   6  11.516454
    6  6.359000   6  11.516454
    7  6.361111   7  11.516454
    8  6.360778   7  11.516454
    9  6.361111   6  11.516454

作为输出,我想要一个新的数据帧,其中"N0_YLDF"列分为4个,其中每个ZZ的唯一值都有一个新列.我该怎么办?我可以进行分组,但是不知道如何处理分组的对象.

As output, I want a new dataframe with the 'N0_YLDF' column split into 4, one new column for each unique value of ZZ. How do I go about this? I can do groupby, but do not know what to do with the grouped object.

gb = df.groupby('ZZ')    
[gb.get_group(x) for x in gb.groups]