The Numpy library in Python comes with a number of built-in functions to perform common mathematical operations on arrays. In this tutorial, we will look at one such function that helps us get the element-wise exponential of a Numpy array with the help of some examples.

## How to get the exponential in Numpy?

You can use the `numpy.exp()`

function to get the exponential of all elements in a Numpy array. Pass the array as an argument.

The following is the syntax –

numpy.exp(ar)

It returns an array containing the exponential value of each element in the passed array.

Let’s now look at a step-by-step example of using the `numpy.exp()`

function.

### Step 1 – Create a Numpy array

First, we will create a Numpy array that we will use throughout this tutorial.

import numpy as np # create numpy array ar = np.array([-10, -1, 0, 1, 2, 10]) # display the array print(ar)

Output:

[-10 -1 0 1 2 10]

Here, we used the `numpy.array()`

function to create a Numpy array containing some numbers. You can see that the array contains both positive and negative integer values (along with a zero).

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### Step 2 – Get the exponential using `numpy.exp()`

To get the exponential of each element in a Numpy array, pass the array as an argument to the `numpy.exp()`

function.

Let’s get the exponential for the array created above.

# get the exponential of each element np.exp(ar)

Output:

array([4.53999298e-05, 3.67879441e-01, 1.00000000e+00, 2.71828183e+00, 7.38905610e+00, 2.20264658e+04])

We get a Numpy array with the exponential value of each element in the array `ar`

.

The `numpy.exp()`

function works similarly on higher-dimensional arrays. For example, let’s apply this function to a 2D array of some numbers.

# create 2D numpy array ar = np.array([[1, 0, 1], [0, 10, 2], [-10, 0, 1]]) # get the exponential of each element np.exp(ar)

Output:

array([[2.71828183e+00, 1.00000000e+00, 2.71828183e+00], [1.00000000e+00, 2.20264658e+04, 7.38905610e+00], [4.53999298e-05, 1.00000000e+00, 2.71828183e+00]])

You can see that we get the exponential value of each element in the 2D array.

For more on the `numpy.exp()`

function, refer to its documentation.

You might also be interested in –

- Numpy – Get the Sign of Each Element in Array
- Get the Median of Numpy Array – (With Examples)
- Numpy – Get Standard Deviation of Array Values
- Numpy – Get Min Value in Array

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