Creating dataframe from numpy arrays

Question

I have a dataframe, where each row describe a matrix (3,3):

I transformed this dataframe in multiple matrices, to do some matrices operations with them. I used the code:

df.to_numpy().reshape(-1,3,3)

Which returned:

This is exactly what I wanted but, after finished the operations with the matrices, I need to transform all of these matrices in the original form of the dataframe, like in the first image. How can I do this? There's some analogue function to .to_numpy()? I tried pd.DataFrame(array) but don't worked.

d = pd.DataFrame(array)
ValueError: Must pass 2-d input

Stuart Berg · Accepted Answer · 2020-07-22 18:02:37Z

1

Try:

array_2d = array.reshape((-1, 9))
d = pd.DataFrame(array_2d)

answered Jul 22, 2020 at 18:02

Stuart Berg

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