numpy.cbrt() in Python

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  : [array_like] 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]