numpy cbrt method:
cbrt is a numpy method we can use to find the cube root of all elements in an array. In this post, we will learn how to use numpy cbrt with example.
Definition of cbrt:
numpy cbrt method is defined as below:
numpy.cbrt(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'cbrt'>Here,
- x is the given array_like value.
- out is the place to put the output array. It is of type ndarray. It is optional. If it is not provided, or if it is None, a freshly allocated array is returned.
- where is a condition that is used to each members of the array. If it is True, it will put the ufunc result to the out array.
- kwargs keyword only arguments.
It returns a ndarray. It is the same shape as the input array.
Example of cbrt:
Let’s take a look at the example below:
import numpy as np
print(np.cbrt([1, 8, 64]))It will print the below output:
[1. 2. 4.]
We can also use it with any dimension array:
import numpy as np
print(np.cbrt([[1.4, 8.4, 64.8], [2, 5.8, 10.4]]))It will print:
[[1.11868894 2.03279271 4.0165977 ]
[1.25992105 1.79670178 2.18278577]]