用数组更改列中的所有pandas数据框单元格

Question

I have a pandas Dataframe like as follow:

                   column1         column2
0                     0               0
1                     0               0
2                     0               0
3                     0               0
...                  ...             ...

I would like to change all data in column2 with

a = numpy.zeros([16,16,16])

so the dataframe will look like

                   column1         column2
0                     0           [[[0,0,0,....
1                     0           [[[0,0,0,....
2                     0           [[[0,0,0,....
3                     0           [[[0,0,0,....
...                  ...             ...

Answer 1

First I think working with list s or array 's this way in pandas is not good idea .

But it is possible:

df['column2'] = [a for _ in df.index]