Example to use Numpy log2 method to find natural logarithm of an array of numbers

Example to use Numpy log2 method to find natural logarithm of an array of numbers:

log2 method of Numpy is used to find out the base-2 logarithm of an array of numbers. This method is defined as below:

numpy.log2(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'log2'>

Here,

x is the input array_like values passed to this method as input.
out is the location to put the output array. It is an optional value. If not provided, it will put the output in a freshly allocated array. Else, we must provide one array of similar shape to the input array.
where is a condition. This condition is broadcasted over the input array. Whereever it is True, the output array will be set to the ufunc result. Else, it is remain same.
**kwargs is for other keyword only arguments.

Example of log2:

Let’s take a look at the below function:

import numpy as np 

given_array = [1, 10, 100, 3**9, 98]
print("Given array :",given_array)

new_array = np.log2(given_array)
print("log2 array :",new_array)

It will print the below output:

Given array : [1, 10, 100, 19683, 98]
log2 array : [ 0.          3.32192809  6.64385619 14.26466251  6.61470984]

Reference:

official doc

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Example to use Numpy log2 method to find natural logarithm of an array of numbers

Example to use Numpy log2 method to find natural logarithm of an array of numbers:

Example of log2:

Reference:

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