numpy.polynomial.polynomial.polymulx(c)
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:
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