I’m trying to randomize all the rows of my DataFrame but with no success.
What I want to do is from this matrix

A= [ 1 2 3
     4 5 6 
     7 8 9 ]

to this

A_random=[ 4 5 6 
           7 8 9 
           1 2 3 ]

I’ve tried with np. random.shuffle but it doesn’t work.

I’m working in Google Colaboratory environment.

>Solution :

If you want to make this work with np.random.shuffle, then one way would be to extract the rows into an ArrayLike structure, shuffle them in place and then recreate the DataFrame:

A = pandas.DataFrame([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
extracted_rows = A.values.tolist()  # Each row is an array element, so rows will remain fixed but their order shuffled
np.random.shuffle(extracted_rows)
A_random = pandas.DataFrame(extracted_rows)