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So I have some data which are in this format:

[array([[0.00849484],[0.00830291],[0.00735711]]) array([[0.00795935],[0.00772346],[0.00740238]])...]

How can I convert it into simple 1D array?

[0.00849484 0.00830291 0.00735711 0.00795935 0.00772346 0.00740238]
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3
  • are those arrays numpy? Commented Jun 13, 2021 at 9:29
  • np.array(a).ravel().tolist(). Commented Jun 13, 2021 at 9:32
  • @aaronn yes, numpy arrays Commented Jun 13, 2021 at 9:32

1 Answer 1

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if a is array

a = np.array([np.array([[0.00849484],[0.00830291],[0.00735711]]), np.array([[0.00795935],[0.00772346],[0.00740238]])])

result

array([[[0.00849484], [0.00830291], [0.00735711]], [[0.00795935], [0.00772346], [0.00740238]]])

use flatten

a.flatten()

result (numpy array)

array([0.00849484, 0.00830291, 0.00735711, 0.00795935, 0.00772346, 0.00740238]) 
a.flatten().tolist()

result (python list)

[0.00849484, 0.00830291, 0.00735711, 0.00795935, 0.00772346, 0.00740238]
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