numpy.poly() in Python Last Updated : 04 Dec, 2020 Summarize Comments Improve Suggest changes Share Like Article Like Report 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 to the lowest one. c[0] * x**(N) + c[1] * x**(N-1) + ... + c[N-1] * x + c[N] where c[0] always equals 1. Python3 1== # Python code explaining # numpy.poly() # importing libraries import numpy as np # Giving the roots seq_1 = (2, 1, 0) a = np.poly(seq_1) print ("Coefficients of the polynomial: ", a) # Constructing polynomial p1 = np.poly1d(a) print ("\nAbove polynomial = \n", p1) Output : Coefficients of the polynomial: [ 1. -3. 2. 0.] Above polynomial = 3 2 1 x - 3 x + 2 x Code #2: Python3 # Python code explaining # numpy.poly() # importing libraries import numpy as np # Giving the roots seq_2 = (2, 1, 0, 2, 4, 2) b = np.poly(seq_2) print ("Coefficients of the polynomial: ", b) # Constructing polynomial p2 = np.poly1d(b) print ("\nAbove polynomial = \n", p2) Output : Coefficients of the polynomial: [ 1. -11. 46. -92. 88. -32. 0.] Above polynomial = 6 5 4 3 2 1 x - 11 x + 46 x - 92 x + 88 x - 32 x Comment More infoAdvertise with us Next Article numpy.polydiv() in Python M mohit gupta_omg :) Follow Improve Article Tags : Python Python-numpy Python numpy-polynomials Practice Tags : python Similar Reads 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 3 min read numpy.polyval() in Python 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 th 2 min read 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 1 min read 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 1 min read 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 2 min read 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 2 min read Like