Python Numpy.log() - Logarithm

Numpy.log() function calculates the natural logarithm of every element in the given array.

Syntax of numpy.log()

numpy.log(arr)

Parameters

Return

It returns an array of the natural logarithm of each element in the input array.

Example Codes: numpy.log()

import numpy as np

arr = [1, np.e, np.e**2, np.e**3]
print(np.log(arr))

Output:

[0. 1. 2. 3.]

Example Codes: numpy.log2() - Numpy Log Base 2

numpy.log2() is simliar to numpy.log(), but has the base as 2 instead of e.

import numpy as np

arr = [1, 2, np.e, 4]
print(np.log2(arr))

Output:

[0. 1. 1.44269504 2.]

Example Codes: numpy.log10() - Numpy Log Base 10

numpy.log10() is similar to numpy.log(), but has the base as 10 instead of e.

import numpy as np

arr = [1, np.e, 10, 100]
print(np.log10(arr))

Output:

[0. 0.43429448 1. 2.]