相关疑难解决方法(0)

这是一个示例代码.

df = pd.DataFrame(np.random.randn(10, 2), columns=list('AB'))
df['C'] = df.B.rolling(window=3)

输出:

           A         B                                       C
0 -0.108897  1.877987  Rolling [window=3,center=False,axis=0]
1 -1.276055 -0.424382  Rolling [window=3,center=False,axis=0]
2  1.578561 -1.094649  Rolling [window=3,center=False,axis=0]
3 -0.443294  1.683261  Rolling [window=3,center=False,axis=0]
4  0.674124  0.281077  Rolling [window=3,center=False,axis=0]
5  0.587773  0.697557  Rolling [window=3,center=False,axis=0]
6 -0.258038 -1.230902  Rolling [window=3,center=False,axis=0]
7 -0.443269  0.647107  Rolling [window=3,center=False,axis=0]
8  0.347187  0.753585  Rolling [window=3,center=False,axis=0]
9 -0.369179  0.975155  Rolling [window=3,center=False,axis=0]

我希望我的'C'列是一个像[0.1231,-1.132,0.8766]这样的数组.我尝试使用滚动应用但是徒劳无功.

预期产出:

       A         B                 C
0 -0.108897  1.877987  []
1 -1.276055 -0.424382  []
2  1.578561 -1.094649  [-1.094649, …