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numpy.roots() function – Python
  • Last Updated : 11 Jun, 2020

numpy.roots() function return the roots of a polynomial with coefficients given in p. The values in the rank-1 array p are coefficients of a polynomial. If the length of p is n+1 then the polynomial is described by: p[0] * x**n + p[1] * x**(n-1) + … + p[n-1]*x + p[n]

Syntax : numpy.roots(p)

Parameters :
p : [array_like] Rank-1 array of polynomial coefficients.

Return : [ndarray] An array containing the roots of the polynomial.

Code #1 :






# Python program explaining
# numpy.roots() function
      
# importing numpy as geek 
import numpy as geek 
  
p = [1, 2, 3]
  
gfg = geek.roots(p)
  
print (gfg)

Output :

[-1.+1.41421356j -1.-1.41421356j]

 
Code #2 :




# Python program explaining
# numpy.roots() function
       
# importing numpy as geek 
import numpy as geek 
   
p = [3.2, 2, 1]
   
gfg = geek.roots(p)
   
print (gfg)

Output :

[-0.3125+0.46351241j -0.3125-0.46351241j]

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