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Get the Exponential of Each Element in Numpy Array

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?

get the exponential of each element in numpy array

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).

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.

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Author

  • Piyush is a data scientist passionate about using data to understand things better and make informed decisions. In the past, he's worked as a Data Scientist for ZS and holds an engineering degree from IIT Roorkee. His hobbies include watching cricket, reading, and working on side projects.