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 log2 (logarithm with base 2) of a Numpy array with the help of some examples.
How to get the log2 of values in a Numpy array?
You can use the
numpy.log2() function to get the log2 (logarithm with base 2) of each element in a Numpy array. Pass the array as an argument.
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The following is the syntax –
It returns an array containing the base 2 logarithm of each element in the passed array.
Let’s now look at a step-by-step example of using the
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 e = np.exp(1) ar = np.array([1, 2, 4, 6, 8]) # display the array print(ar)
[1 2 4 6 8]
Here, we used the
numpy.array() function to create a Numpy array containing some numbers. You can see that the array contains some integers (note that there are some values that are powers of two – 2, 4, and 8).
Step 2 – Get the log2 using
To get the base 2 log of each element in a Numpy array, pass the array as an argument to the
Let’s get the base 2 log for the array created above.
# get the log2 of each element np.log2(ar)
array([0. , 1. , 2. , 2.5849625, 3. ])
We get a Numpy array with the base 2 logarithm value of each element in the array
numpy.log2() 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 e = np.exp(1) ar = np.array([[1, 2, 1], [4, 10, 4], [5, 8, 6]]) # get the log2 of each element np.log2(ar)
array([[0. , 1. , 0. ], [2. , 3.32192809, 2. ], [2.32192809, 3. , 2.5849625 ]])
You can see that we get the base 2 log value of each element in the 2D array.
For more on the
numpy.log2() 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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