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NumPy selecting specific column index per row by using a list of indexes

Given a NumPy array, we have to select specific column index per row by using a list of indexes. By Pranit Sharma Last updated : October 08, 2023

NumPy is an abbreviated form of Numerical Python. It is used for different types of scientific operations in python. Numpy is a vast library in python which is used for almost every kind of scientific or mathematical operation. It is itself an array which is a collection of various methods and functions for processing the arrays.

Problem statement

Suppose we are given a two-dimensional NumPy array with some rows and columns. We need to select some specific column based on the index which is itself an element of the list given to use.

Selecting specific column index per row by using a list of indexes

For this purpose, we will use np.arrange method() which will take a total length of the array and the index list and returns evenly spaced values within a given interval.

Let us understand with the help of an example,

Python program to select specific column index per row by using a list of indexes

# Import numpy
import numpy as np

# Creating a numpy array
arr = np.array([[2, 7, 3],[4, 2, 1],[7, 3, 6]])

# Display original array
print("Original Array:\n",arr,"\n")

# Creating a list of indices
lst = [1,0,2]

# using arrange method
res = arr[np.arange(len(arr)), lst]

# Display result
print("Result is:\n",res,"\n")

Output

The output of the above program is:

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