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# What is the numpy.expm1() function in NumPy? Onyejiaku Theophilus Chidalu

Grokking Modern System Design Interview for Engineers & Managers

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### Overview

The numpy.expm1 function in NumPy computes the exponential minus one (exp(x) - 1) for all elements of a given input array.

### Syntax

numpy.expm1(x, out=None, where=True, *)
Syntax for the numpy.expm1() function

### Parameter values

The numpy.expm1() function takes the following parameter values:

• x: This is the array-like object that contains the input values. It is required.
• out: This is the location where the result obtained is stored. It is optional.
• where: This is the condition over which the broadcast is done over the input. It is optional.
• **kwargs: This represents keyword-only arguments.

### Return value

The numpy.expm1 function returns an element-wise exponential minus one of the input array.

### Example

import numpy as np

# Implementing the numpy.expm1() function
print(np.expm1(5))
print(np.expm1(0.5))
print(np.expm1(1e-10))
Implementing the expm1() function

### Explanation

• Line 1: We import the numpy module.
• Lines 4–6: We implement the numpy.expm1() function on different input values. Then, we print each result to the console.

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CONTRIBUTOR Onyejiaku Theophilus Chidalu

Grokking Modern System Design Interview for Engineers & Managers

Ace your System Design Interview and take your career to the next level. Learn to handle the design of applications like Netflix, Quora, Facebook, Uber, and many more in a 45-min interview. Learn the RESHADED framework for architecting web-scale applications by determining requirements, constraints, and assumptions before diving into a step-by-step design process.

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