Numpy rotate and save 2D array to a CSV

Question

How can I save a 2D array into a CSV by rotating the array by 90 degree?

I tried numpy np.rot90, it alters the position of the elements.

>>> a = np.array([[88,87],[78,77],[68,67],[58,57]])
>>> a
array([[88, 87],
       [78, 77],
       [68, 67],
       [58, 57]])
>>>

csv should look like -

88, 78, 68, 58
87, 77, 67, 57

Does this answer your question? How to transpose a 2D array using numpy? — rr_goyal
– rr_goyal, Commented Oct 20, 2023 at 2:50

Andrej Kesely · Accepted Answer · 2023-09-27 21:43:53Z

1

Try:

a = np.array([[88, 87], [78, 77], [68, 67], [58, 57]])

np.savetxt("data.csv", a.T, delimiter=",", fmt="%i")

Saves data.csv:

88,78,68,58
87,77,67,57

answered Sep 27, 2023 at 21:43

Andrej Kesely

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sjking · Accepted Answer · 2023-09-27 21:54:23Z

1

You can transpose the array.

>>> a = np.array([[88,87],[78,77],[68,67],[58,57]])
>>> a
array([[88, 87],
       [78, 77],
       [68, 67],
       [58, 57]])
>>> a.T
array([[88, 78, 68, 58],
       [87, 77, 67, 57]])
>>> a = a.T
>>> np.savetxt('a.csv', a, delimiter=", ", fmt="%i")

edited Sep 27, 2023 at 21:54

answered Sep 27, 2023 at 21:43

sjking

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