# MATLAB - Graphics

This chapter will continue exploring the plotting and graphics capabilities of MATLAB. We will discuss:

Drawing bar charts

Drawing contours

Three dimensional plots

## Drawing Bar Charts

The **bar** command draws a two dimensional bar chart. Let us take up an example to demonstrate the idea.

## Example

Let us have an imaginary classroom with 10 students. We know the percent of marks obtained by these students are 75, 58, 90, 87, 50, 85, 92, 75, 60 and 95. We will draw the bar chart for this data.

Create a script file and type the following code:

x = [1:10]; y = [75, 58, 90, 87, 50, 85, 92, 75, 60, 95]; bar(x,y), xlabel('Student'),ylabel('Score'), title('First Sem:') print -deps graph.eps

When you run the file, MATLAB displays the following bar chart:

## Drawing Contours

A contour line of a function of two variables is a curve along which the function has a constant value. Contour lines are used for creating contour maps by joining points of equal elevation above a given level, such as mean sea level.

MATLAB provides a **contour** function for drawing contour maps.

## Example

Let us generate a contour map that shows the contour lines for a given function g = f(x, y). This function has two variables. So, we will have to generate two independent variables, i.e., two data sets x and y. This is done by calling the **meshgrid** command.

The **meshgrid** command is used for generating a matrix of elements that give the range over x and y along with the specification of increment in each case.

Let us plot our function g = f(x, y), where −5 ≤ x ≤ 5, −3 ≤ y ≤ 3. Let us take an increment of 0.1 for both the values. The variables are set as:

[x,y] = meshgrid(–5:0.1:5, –3:0.1:3);

Lastly, we need to assign the function. Let our function be: x^{2} + y^{2}

Create a script file and type the following code:

[x,y] = meshgrid(-5:0.1:5,-3:0.1:3); %independent variables g = x.^2 + y.^2; % our function contour(x,y,g) % call the contour function print -deps graph.eps

When you run the file, MATLAB displays the following contour map:

Let us modify the code a little to spruce up the map:

[x,y] = meshgrid(-5:0.1:5,-3:0.1:3); %independent variables g = x.^2 + y.^2; % our function [C, h] = contour(x,y,g); % call the contour function set(h,'ShowText','on','TextStep',get(h,'LevelStep')*2) print -deps graph.eps

When you run the file, MATLAB displays the following contour map:

## Three Dimensional Plots

Three-dimensional plots basically display a surface defined by a function in two variables, g = f (x,y).

As before, to define g, we first create a set of (x,y) points over the domain of the function using the **meshgrid** command. Next, we assign the function itself. Finally, we use the **surf** command to create a surface plot.

The following example demonstrates the concept:

## Example

Let us create a 3D surface map for the function g = xe^{-(x2 + y2)}

Create a script file and type the following code:

[x,y] = meshgrid(-2:.2:2); g = x .* exp(-x.^2 - y.^2); surf(x, y, g) print -deps graph.eps

When you run the file, MATLAB displays the following 3-D map:

You can also use the **mesh** command to generate a three-dimensional surface. However, the **surf** command displays both the connecting lines and the faces of the surface in color, whereas, the **mesh** command creates a wireframe surface with colored lines connecting the defining points.