How to get the positions of top n values from a numpy array?
This recipe helps you get the positions of top n values from a numpy array
Recipe Objective
How to get the positions of top n values from a numpy array? So we can achieve this by using the "argpartition" so the syntax for the same is as follows:
np.argpartition(arr,-n)[-n:]where, arr - array that we are going to take n - the desired number of indices.
Step 1 - Import library
import numpy as np
Step 2 - Take a Sample array
Sample_array = np.array([1,3,5,7,9])
n = 3
print("This is the original array:",Sample_array)
This is the original array: [1 3 5 7 9]
Step 3 - Sort the array
sorted_index = np.argsort(Sample_array)
sorted_values = Sample_array[sorted_index]
print("The sorted array is:", sorted_values)
The sorted array is: [1 3 5 7 9]
Step 4 - Print the top values
print("The top values are:",sorted_values[-n:])
The top values are: [5 7 9]
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