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numpy.polymul() in Python

  • Last Updated : 04 Dec, 2020

The numpy.polymul() method evaluates the product of two polynomials and returns the polynomial resulting from the multiplication of two input polynomials ‘p1’ and ‘p2’.

Syntax : numpy.polymul(p1, p2)
Parameters :
p1 : [array_like or poly1D]Input polynomial 1.
p2 : [array_like or poly1D]Input polynomial 2.

Return: Polynomial resulting from multiplication of the inputs.

If either input is poly1D object, then the output is also a poly1D object otherwise, 1D array of polynomial coefficients in decreasing order of degree.

Code : Python code explaining polymul()




# Python code explaining 
# numpy.polymul()
    
# importing libraries
import numpy as np
import pandas as pd
  
# Constructing polynomial 
p1 = np.poly1d([1, 2]) 
p2 = np.poly1d([4, 9, 5, 4]) 
    
print ("P1 : ", p1) 
print ("\n p2 : \n", p2) 




mul = np.polymul(p2, p1)
  
print("\n\npoly1D object : ")
print("Multiplication Result  : \n", mul)




# Defining ndarray
x = np.array([1, 2])
y = np.array([4, 9, 5, 4])
mul = np.polymul(y, x)
  
print("\n1D array : ")
print("Multiplication Result  : ", mul)


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