The Hidden Gems of NumPy: 5 Lesser Known Functions You Need to Try

Discover the NumPy functions that will make your data analysis tasks a breeze

Generated by Moez Ali using Midjourney

Introduction

NumPy is a fundamental package in Python for scientific computing that provides support for multidimensional arrays, mathematical operations, and linear algebra. Although NumPy is a popular package, there are a few hidden gems that are not commonly used. In this blog, we will explore five lesser-known functions of NumPy that you need to try.

1. np.clip

The clip() function is used to limit the values of an array between a specified minimum and maximum. It takes three arguments - an array, a minimum value, and a maximum value. The function replaces all values in the array that are less than the minimum with the minimum value and all values that are greater than the maximum with the maximum value.

import numpy as np

arr = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9])

np.clip(arr, 3, 7)

Output:

>>> array([3, 3, 3, 4, 5, 6, 7, 7, 7])

2. np.where

1. The where() function returns the indices of elements in an array where a specified condition is true. It takes two arguments - a boolean condition and the values to return for the true and…