How to convert torch tensor to pandas dataframe?
I'd like to convert a torch tensor to pandas dataframe but by using pd.DataFrame I'm getting a dataframe filled with tensors instead of numeric values.

import torch
import pandas as  pd
x = torch.rand(4,4)
px = pd.DataFrame(x)


Here's what I get when clicking on px in the variable explorer:

0   1   2   3
tensor(0.3880)  tensor(0.4598)  tensor(0.4239)  tensor(0.7376)
tensor(0.4174)  tensor(0.9581)  tensor(0.0987)  tensor(0.6359)
tensor(0.6199)  tensor(0.8235)  tensor(0.9947)  tensor(0.9679)
tensor(0.7164)  tensor(0.9270)  tensor(0.7853)  tensor(0.6921)


I found one possible way by converting torch first to numpy:
import torch
import pandas as  pd

x = torch.rand(4,4)
px = pd.DataFrame(x.numpy())

