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

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

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

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
.