How to add in cell of DataFrame all tensor?

Question

I have a two-dimensional tensor and I want to make a Dataframe with one column out of it so that it doesn't split into separate values.

Something like that:

import torch
import pandas as  pd

x = torch.rand(4,3)
x
>>> tensor([[0.8888, 0.8168, 0.2737],
            [0.9429, 0.0847, 0.6115],
            [0.3147, 0.5715, 0.9937],
            [0.5592, 0.7696, 0.3094]])

df = pd.DataFrame(x)
df
>>> tensor([0.8888, 0.8168, 0.2737])
    tensor([0.9429, 0.0847, 0.6115])
    tensor([0.3147, 0.5715, 0.9937])
    tensor([0.5592, 0.7696, 0.3094])
df.shape
>>> (4, 1)

Help me, please, I will be very grateful.

I tried to use a cycle to add tensors by rows. I tried converting it to an array first. It is constantly evolving into separate values in each column.