[Tut] NumPy polymulx()

NumPy polymulx()

numpy.polynomial.polynomial.polymulx©

The numpy.polymulx function multiplies the polynomial c with a value x which is the independent variable.

Arguments	Type	Description
c	array_like or poly1d object	The input polynomials to be multiplied

The following table shows the return value of the function:

	Type	Description
Return Value	ndarray or poly1d object	The polynomial resulting from the multiplication of the inputs. If either inputs is a poly1d object, then the output is also a poly1d object. Otherwise, it is a 1D array of polynomial coefficients from highest to lowest degree.

Let’s dive into some examples to show how the function is used in practice:

Examples

import numpy as np

import numpy.polynomial.polynomial as poly print(poly.polymulx([0]) == [0])

print(poly.polymulx([1]) == [0, 1])

for i in range(1, 5): ser = [0]*i + [1] tgt = [0]*(i + 1) + [1] print(poly.polymulx(ser) == tgt) '''

[ True]

[ True True]

[ True True True]

[ True True True True]

[ True True True True True]

[ True True True True True True] '''

This function is inspired from this Github repository.

Any master coder has a “hands-on” mentality with a bias towards action. Try it yourself—play with the function in the following interactive code shell:

Exercise: Change the parameters of your polynomials and print them without the comparisons. Do you understand where they come from?

Master NumPy—and become a data science pro:

Related Video

https://www.sickgaming.net/blog/2020/07/...-polymulx/