I have and array like this :
[[[a, b], [c, d], [e, f]]]
When i shape to this array it gives (2,)
I tried reshape(-1) method but i did not work. I want to reshape this array into:
[[a, b], [c, d], [e, f]]
How can i convert that? I would be glad if you help.
You can use the numpy.squeeze function.
a = np.array([[["a", "b"], ["c", "d"], ["e", "f"]]])
print(a.shape)
print(a)
Output:
(1, 3, 2)
[[['a' 'b']
['c' 'd']
['e' 'f']]]
b = a.squeeze(0)
print(b.shape)
print(b)
Output:
(3, 2)
[['a' 'b']
['c' 'd']
['e' 'f']]
chars_list = [[["a", "b"], ["c", "d"], ["e", "f"]]]
chars_list_one = []
for element in chars_list:
for element_one in element:
chars_list_one.append(element_one)
print(chars_list_one)
You can use the .squeeze method.
import numpy as np
a = np.array([[['a', 'b'], ['c', 'd'], ['e', 'f']]])
a.squeeze()
Output:
array([['a', 'b'],
['c', 'd'],
['e', 'f']], dtype='<U1')
a,b, etc. As@uniQshows, if they are single characters (or numbers) , the result is an array with shape (1,3,2), not the (2,) that you claim. If it really was (1,3,2) shape, you could just index on the first dimension and get a (3,2) array. That indexing would work even if it was a nested list instead of array.reshape(-1)doesn't work. "doesn't work" is not very informative - to you or us. What was wrong? An error message? A wrong result? Don't just throw that result away; try to learn from it.