numpy.cbrt() in Python (original) (raw)

Last Updated : 18 Nov, 2020

This mathematical function helps user to calculate cube root of x for all x being the array elements. Syntax:

numpy.cbrt(arr, out = None, ufunc ‘cbrt’) :

Parameters :

arr : [arraylike] Input array or object whose elements, we need to square.

Return :

An array with cube root of x for all x i.e. array elements

Code #1 : Working

Python3 `

Python program explaining

cbrt () function

import numpy as np

arr1 = [1, 27000, 64, -1000] print ("cbrt Value of arr1 : \n", np.cbrt(arr1))

arr2 = [1024 ,-128] print ("\ncbrt Value of arr2 : ", np.cbrt(arr2))

`

Output :

cbrt Value of arr1 : [ 1. 30. 4. -10.]

cbrt Value of arr2 : [ 10.0793684 -5.0396842]

Code #2 : Working with complex numbers

Python3 `

Python program explaining

cbrt () function

import numpy as np

a = 4 + 3j print("cbrt(4 + 3j) : ", np.cbrt(a))

b = 16 + 13j print("\ncbrt value(16 + 13j) : ", np.cbrt(b))

`

Output :

TypeError: ufunc 'cbrt' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''

Code #3 : Graphical representation

Python3 `

Python program explaining

cbrt () function

import numpy as np import matplotlib.pyplot as plt

a = np.linspace(start = -5, stop = 150, num = 10, endpoint = True)

print("Graphical Representation : \n", np.cbrt(a))

plt.title("blue : with cbrt\nred : without cbrt") plt.plot(a, np.cbrt(a))

plt.scatter(a, a, color = 'red') plt.show()

`

Output :

Graphical Representation : [-1.70997595 2.30347441 3.08793243 3.60027433 3.99768384 4.3287262 4.61565763 4.87076238 5.10162421 5.31329285]

References : https://docs.scipy.org/doc/numpy-1.12.0/reference/generated/numpy.cbrt.html.