numpy.polyadd() in Python

numpy.polyval() in Python

Last Updated : 29 Nov, 2018

numpy.polyval(p, x) method evaluates a polynomial at specific values. If 'N' is the length of polynomial 'p', then this function returns the value

Parameters : p : [array_like or poly1D] polynomial coefficients are given in decreasing order of powers. If the second parameter (root) is set to True then array values are the roots of the polynomial equation. For example : poly1d(3, 2, 6) = 3x² + 2x + 6 x : [array_like or poly1D] A number, an array of numbers, for evaluating 'p'. Return: Evaluated value of polynomial.

Code : Python code explaining polyval()

Python3 1==

# Python code explaining 
# numpy.polyval()
  
# 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)

Python3 1==

# Solve for x = 2 
print ("\n\np1 at x = 2 : ", p1(2)) 
print ("p2 at x = 2 : ", p2(2))

Python3 1==

a = np.polyval([1, 2], 2)
b = np.polyval([4, 9, 5, 4], 2)

print ("\n\nUsing polyval")
print ("p1 at x = 2 : ", a) 
print ("p2 at x = 2 : ", b) 

c = np.polyval(np.poly1d([4, 9, 5, 4]), np.poly1d(2))
print ("\nc : ", c)

numpy.polyadd() in Python

mohit gupta_omg :)

Improve

Article Tags :

Practice Tags :

python

Similar Reads

numpy.poly() in Python

The numpy.poly() function in the Sequence of roots of the polynomial returns the coefficient of the polynomial. Syntax :numpy.poly(seq) Parameters : Seq : sequence of roots of the polynomial roots, or a matrix of roots. Return: 1D array having coefficients of the polynomial from the highest degree t

numpy.polydiv() in Python

The numpy.polydiv() method evaluates the division of two polynomials and returns the quotient and remainder of the polynomial division. Syntax : numpy.polydiv(p1, p2) Parameters : p1 : [array_like or poly1D]Coefficients of dividend polynomial. p2 : [array_like or poly1D]Coefficients of divisor polyn

numpy.polymul() in Python

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 polynom

numpy.polyadd() in Python

numpy.polyadd() : This function helps to find the sum of two polynomials and then returning the result as a polynomial. Each input polynomial must be a sequence of polynomial coefficients, from highest to lowest degree. Parameters : p1 : Input polynomial 1 p2 : Input polynomial 2 Return : Sum of pol

numpy.poly1d() in Python

The numpy.poly1d() function helps to define a polynomial function. It makes it easy to apply "natural operations" on polynomials. Syntax: numpy.poly1d(arr, root, var) Parameters : arr : [array_like] The polynomial coefficients are given in decreasing order of powers. If the second parameter (root) i

numpy.pv() in Python

numpy.fv(rate, nper, pmt, fv, when = 'end') : This financial function helps user to compute future values. Parameters : rate : [array_like] Rate of interest as decimal (not per cent) per period nper : [array_like] total compounding periods pmt : [array_like] fixed payment fv : [array_like, optional]

numpy.polyint() in Python

numpy.polyint(p, m) : Evaluates the anti - derivative of a polynomial with the specified order. m antiderivative 'P' of polynomial 'p' satisfies Parameters : p : [array_like or poly1D] polynomial coefficients are given in decreasing order of powers. If the second parameter (root) is set to True then

numpy.polyder() in Python

The numpy.polyder() method evaluates the derivative of a polynomial with specified order. Syntax :numpy.polyder(p, m) Parameters : p : [array_like or poly1D]the polynomial coefficients are given in decreasing order of powers. If the second parameter (root) is set to True then array values are the ro

numpy.polysub() in Python

numpy.polysub() :This function helps to find the difference of two polynomials and then returning the result as a polynomial. Each input polynomial must be a sequence of polynomial coefficients, from highest to lowest degree. Parameters : p1 : Input polynomial 1 : 1x + 2. p2 : Input polynomial 2 : 9

numpy.pmt() in Python

numpy.pmt(rate, nper, pv, fv, when = â€˜endâ€™): This financial function helps user to compute payment value as per the principal and interest. Parameters : rate : [scalar or (M, )array] Rate of interest as decimal (not per cent) per period nper : [scalar or (M, )array] total compounding periods fv : [s