02 Apr Numpy Logs
Python Numpy has some predefined functions to work with Logs, such as numpy.log2(), numpy.log10(), etc. Let us see some examples:
Log Base 2
We will find the log base 2 using the numpy.log2() method. Let us see an example:
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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
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Array [1 2 3 4 5] Result [0. 1. 1.5849625 2. 2.32192809] |
Log Base 10
We will find the log base 10 using the numpy.log10() method. Let us see an example:
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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
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Array [1 2 3 4 5] Result [0. 0.30103 0.47712125 0.60205999 0.69897 ] |
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