For example, consider an array arr.
arr = np.array([[8, 3, 2],
[3, 6, 5],
[6, 1, 4]])
Let us try to sort the rows by the 2nd column so that we get :
[[6, 1, 4],
[8, 3, 2],
[3, 6, 5]]
We can do this by using the sort() method in numpy as :
import numpy as np
arr = np.array([[8, 3, 2],
[3, 6, 5],
[6, 1, 4]])
#sort the array using np.sort
arr = np.sort(arr.view('i8,i8,i8'),
order=['f1'],
axis=0).view(np.int)
We can also perform sorting and that too inplace sorting by doing :
arr.view('i8,i8,i8').sort(order=['f1'], axis=0)
