# numpy.polymul() in Python

numpy.polymul(p1, p2) method evaluates the product of two polynomials and returns the polynomial resulting from the multiplication of two input polynomials ‘p1’ and ‘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) ` My Personal Notes arrow_drop_up If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

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