for instance converting [ 3, 1, 2, 4, 4, 2, 3, 1, 1, 3, 4, 2, 2, 4, 1, 3 ] to
[
[3, 1, 2, 4],
[4, 2, 3, 1],
[1, 3, 4, 2],
[2, 4, 1, 3]
]
shortest method ... not converting it into 4 lists then to 2d
for instance converting [ 3, 1, 2, 4, 4, 2, 3, 1, 1, 3, 4, 2, 2, 4, 1, 3 ] to
[
[3, 1, 2, 4],
[4, 2, 3, 1],
[1, 3, 4, 2],
[2, 4, 1, 3]
]
shortest method ... not converting it into 4 lists then to 2d
In numpy you can convert a 1d array to a 2d array by using the reshape
command. The first argument is your current array, and the second one specifies what the new 'shape' of it should look like. In this case, 4 rows by 4 columns.
import numpy as np
my_array = [ 3, 1, 2, 4, 4, 2, 3, 1, 1, 3, 4, 2, 2, 4, 1, 3 ]
new_array = np.reshape(my_array, (4, 4))
will result in new_array
being:
array([[3, 1, 2, 4],
[4, 2, 3, 1],
[1, 3, 4, 2],
[2, 4, 1, 3]])
Akavall was kind enough to link directly to the docs page on the reshape
command, copying here: https://docs.scipy.org/doc/numpy/reference/generated/numpy.reshape.html