Consider the following scenario:
a = np.array([[1,1,1,3,3,3], [2,2,2,4,4,4]])
np.reshape(a, (4, 3))
Output:
array([[1, 1, 1],
[3, 3, 3],
[2, 2, 2],
[4, 4, 4]])
Desired output:
array([[1, 1, 1],
[2, 2, 2],
[3, 3, 3],
[4, 4, 4]])
How can I reshape the array so the rows stay paired together and the overflowing columns wrap below the existing rows?
As I described in the comments. You can combine that into one statement:
import numpy as np
a = np.array([[1,1,1,3,3,3], [2,2,2,4,4,4]])
a1 = a[:,:3]
a2 = a[:,3:]
a3 = np.concatenate((a1,a2))
print(a3)
Output:
[[1 1 1]
[2 2 2]
[3 3 3]
[4 4 4]]