1. Python
  2. numpy.cbrt () in Python

numpy.cbrt () in Python

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 ie array elements

Code # 1: Work

# Python program explaining
# cbrt () function

 

import numpy as np

 

arr1 = [ 1 , 27000 , 64 , - 1000 ]

print ( " cbrt Value of arr1: " , np.cbrt (arr1))

  

arr2 = [ 1024 , - 128 ]

print ( "cbrt 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

# Python program explaining
# cbrt () function

 

 

import numpy as np

 

a = 4 + 3j

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

 

b = 16 + 13j

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

Output: 

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

Code # 3: Graphical Representation

# 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:" , np.cbrt (a))

 

plt.title ( "blue: with cbrt red: without cbrt" )

plt.plot (a, np. cbrt (a))

 

plt.scatter (a, a, color = `red` )

plt.show ()

< / code>

Output: 

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

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