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The NumPy log2() function is used to calculate the base-2 logarithm of a given value.

Syntax

numpy.log2(x, out=None)

Parameters

x Required. Specify array (array_like) containing elements, of which the base-2 logarithm is calculated.
out Optional. Specify a location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned.

Return Value

Returns the base-2 logarithm of each element of x.

Example:

In the below example, numpy log2() function is used to calculate the base-2 logarithm of each element present in array Arr.

import numpy as np

Arr = np.array([1, 2, 10, 16])

print("The base-2 logarithm of values:")
print(np.log2(Arr))

The output of the above code will be:

The base-2 logarithm of values:
[ 0.          1.          3.32192809  4.        ]

❮ NumPy - Functions