Take the standard input values as polynomial coefficients. Use the NumPy poly1d() function to create a polynomial:

func = np.poly1d(np.array([1, 2, 3, 4]).astype(float))

Create the x values with the NumPy the linspace() function. Use the range -10 to 10 and create 30 even spaced values:

x = np.linspace(-10, 10, 30)

Calculate the polynomial values using the polynomial we created in the first step:

y = func(x)

Call the plot() function; this does not immediately display the graph:

plt.plot(x, y)

Add a label to the x axis with the xlabel() function:

plt.xlabel('x')

Add a label to the y axis with the ylabel() function:

plt.ylabel('y(x)')

Call the show() function to display the graph:

plt.show()

The following is a plot with polynomial coefficients 1, 2, 3, and 4: