How to rank values in Numpy array?

Let’s check how to rank values in a Numpy array by axis.

Sometimes values do not matter so much. You may want to know the order.

See how to rank values using the argsort Numpy function.

import numpy as np

my_array = np.array([[1, 56, 55, 15],
                     [5, 4, 33, 53],
                     [3, 6, 7, 19]])

sorted_array = np.argsort(my_array, axis=0)

print(f"These are ranks of array values: \n {sorted_array}")

As you can see, there are ranks given for the values in your array. You can work on them further.

Do you want to rank it differently? No problem. See:

import numpy as np

my_array = np.array([[1, 56, 55, 15],
                     [5, 4, 33, 53],
                     [3, 6, 7, 19]])

sorted_array = np.argsort(my_array, axis=1)

print(f"These are ranks of array values: \n {sorted_array}")

Now the rank is given based on another axis.