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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