change all pandas dataframe cell in a column with an array

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,....
...                  ...             ...

Why would you want to do so in the first place? You might aswell keep the numpy array as such and just index it accordingly as you'd also do with the dataframe — yatu
– yatu, Commented Jul 10, 2019 at 8:20

jezrael · Accepted Answer · 2019-07-10 08:18:12Z

2

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

But it is possible:

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

answered Jul 10, 2019 at 8:18

jezrael

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1 Comment

theo123490 Over a year ago

Thank you, I was using my an old data frame that uses that format exactly, changing everything is quite a hassle, so I rather just change using that format.

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