numpy.cbrt() in Python Last Updated : 18 Nov, 2020 Comments Improve Suggest changes Like Article Like Report 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] References : https://docs.scipy.org/doc/numpy-1.12.0/reference/generated/numpy.cbrt.html . 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