Get Log10 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 log10 (logarithm with base 10) of a Numpy array with the help of some examples.

How to get the log10 of values in a Numpy array?

You can use the numpy.log10() function to get the log10 (logarithm with base 10) of each element in a Numpy array. Pass the array as an argument.

The following is the syntax –

numpy.log10(ar)

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 numpy.log10() 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
e = np.exp(1)
ar = np.array([1, 2, 10, 100, 1000])
# display the array
print(ar)

Output:

[   1    2   10  100 1000]

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 ten – 10, 100, and 1000).

Step 2 – Get the log10 using numpy.log10()

To get the base 10 log of each element in a Numpy array, pass the array as an argument to the numpy.log10() function.

Let’s get the base 10 log for the array created above.

# get the log10 of each element
np.log10(ar)

Output:

array([0.     , 0.30103, 1.     , 2.     , 3.     ])

We get a Numpy array with the base 10 logarithm value of each element in the array ar.

The numpy.log10() 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, 10, 1],
               [100, 10, 100],
               [2, 50, 10]])
# get the log10 of each element
np.log10(ar)

Output:

array([[0.     , 1.     , 0.     ],
       [2.     , 1.     , 2.     ],
       [0.30103, 1.69897, 1.     ]])

You can see that we get the base 10 log value of each element in the 2D array.

For more on the numpy.log10() function, refer to its documentation.

You might also be interested in –

• Numpy – Get the Sign of Each Element in Array
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• Numpy – Get Standard Deviation of Array Values
• Numpy – Get Min Value in Array