I thought I’d share some of the easier things I had to do as part of the first year of my course. One of those tasks was to generate a 3D plot of a function and then also plot 2D cross sections at different values.
We start off with a mathematical function that describes, what we will call, our hill. This function represents the ‘height’ of our hill, h if you will, at the different points in x and y.
So, in our MATLAB script we first of all generate a grid of points using x values from -1.5 to 3.5 and y values from -2 to 2. The follow code achieves this.
x = linspace(-1.5,3.5,50); % 50 values of x
y = linspace(-2,2,25); % 25 values of x
[xg yg] = meshgrid(x,y); % generate points
And next we generate the height values of our hill, using the grid we have just created with x -> xg and y ->yg.
h = exp(-(xg.^2)-(yg.^2)) + 0.5.*exp(-((xg-2).^2)-(yg.^2)); % calculate height values
With our hight values in the array h, all we need to do now is plot them. Firstly, to create the 3D plot we just plot x,y and h using the surf() function.
figure(1); % create new figure window
surf(x,y,h); % surface plot
title('3D Hill Plot'); % title and axis labels
Now, to look at several slices through the hill at different values of y, we need to select the different values of y from its array and plot them on the same graph.
plot(x,h([1,10,20],:)); % plot 1st, 10th and 20th values of y
title('2D Hill Plot'); % title and axis labels
legend('y = -1.5','y = -0.4','y = 1.2',0); % legend not overlapping any of the plot
Putting it all together you get a 3D plot of the function and the cross sections in two windows. Job done.