I have an specific array which each rows has to array. I want to reshape it. But, I don’t know how to reshape it to a 2d array. Here is my array:
x = np.array([[[array([0.23006942, 0.29322573, 0.37292298]), array([0.23006942])], [array([0.29322573, 0.37292298, 0.23006942]), array([0.32480389])], [array([0.37292298, 0.23006942, 0.32480389]), array([0.31427784])]], [[array([0.09971349, 0.08827682, 0.0900638 ]), array([0.02251595])], [array([0.08827682, 0.0900638 , 0.02251595]), array([0.0986413])], [array([0.0900638 , 0.02251595, 0.0986413 ]), array([0.02144376])]]], dtype=object)
Here is the desired output:
out = np.array( [ [array([0.23006942, 0.29322573, 0.37292298]),array([0.23006942])], [array([0.29322573, 0.37292298, 0.23006942]),array([0.32480389])], [array([0.37292298, 0.23006942, 0.32480389]),array([0.31427784])], [array([0.09971349, 0.08827682, 0.0900638 ]),array([0.02251595])], [array([0.08827682, 0.0900638 , 0.02251595]),array([0.0986413])], [array([0.0900638 , 0.02251595, 0.0986413 ]),array([0.02144376])] ])
Any help appreciated.
Thanks
I’ve tried to use the reshape. But, it does not solve.
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Answer
It’s ragged, it’s not concatenated. Is it a question of flattening the array to a list of arrays?
out = [x.tolist() for arr in x for x in arr]
Output:
[[array([0.23006942, 0.29322573, 0.37292298]), array([0.23006942])], [array([0.29322573, 0.37292298, 0.23006942]), array([0.32480389])], [array([0.37292298, 0.23006942, 0.32480389]), array([0.31427784])], [array([0.09971349, 0.08827682, 0.0900638 ]), array([0.02251595])], [array([0.08827682, 0.0900638 , 0.02251595]), array([0.0986413])], [array([0.0900638 , 0.02251595, 0.0986413 ]), array([0.02144376])]]