Numpy Logs - Studyopedia

02 Apr Numpy Logs

Posted at 12:34h in Numpy by Studyopedia Editorial Staff 0 Comments

Python Numpy has some predefined functions to work with Logs, such as numpy.log2(), numpy.log10(), etc. Let us see some examples:

We will find the log base 2 using the numpy.log2() method. Let us see an example:

import numpy as np

# Create a Numpy array
n = np.array([1, 2, 3, 4, 5])
print("Array\n",n)

# log2
print("\nResult\n",np.log2(n))

Output

Array
 [1 2 3 4 5]

Result
 [0.         1.         1.5849625  2.         2.32192809]

We will find the log base 10 using the numpy.log10() method. Let us see an example:

import numpy as np

# Create an array
n = np.array([1, 2, 3, 4, 5])
print("Array\n",n)

# log10
print("\nResult\n",np.log10(n))

Output

Array
 [1 2 3 4 5]

Result
 [0.         0.30103    0.47712125 0.60205999 0.69897   ]

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