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
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))
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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))
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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()
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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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