Skip to content Skip to navigation

Connexions

You are here: Home » Content » Graphical representation of data in MATLAB

Navigation

Recently Viewed

This feature requires Javascript to be enabled.

Graphical representation of data in MATLAB

Module by: Anders Gjendemsjø. E-mail the author

User rating (How does the rating system work?)
Ratings

Ratings allow you to judge the quality of modules. If other users have ranked the module then its average rating is displayed below. Ratings are calculated on a scale from one star (Poor) to five stars (Excellent).

How to rate a module

Hover over the star that corresponds to the rating you wish to assign. Click on the star to add your rating. Your rating should be based on the quality of the content. You must have an account and be logged in to rate content.

:
(0 ratings)

Summary: Introduces graphical representation of data in MATLAB.

Graphical representation of data in MATLAB

MATLAB provides a great variety of functions and techniques for graphical display of data. The flexibility and ease of use of MATLAB's plotting tools is one of its key strengths. In MATLAB graphs are shown in a figure window. Several figure windows can be displayed simultaneously, but only one is active. All graphing commands are applied to the active figure. The command figure(n)will activate figure number n or create a new figure indexed by n.

Tools for plotting

In this section we present some of the most commonly used functions for plotting in MATLAB.

  • plot- The plot and stem functions can take a large number of arguments, see help plot and help stem. For example the line type and color can easily be changed. plot(y) plots the values in vector yversus their index. plot(x,y) plots the values in vector yversus x. The plot function produces a piecewise linear graph between its data values. With enough data points it looks continuous.
  • stem- Using stem(y)the data sequence yis plotted as stems from the x-axis terminated with circles for the data values. stem is the natural way of plotting sequences. stem(x,y) plots the data sequence y at the values specified in x.
  • xlabel('string')- Labels the x-axis with string.
  • ylabel('string')- Labels the y-axis with string.
  • title('string')- Gives the plot the title string.

To illustrate this consider the following example.

Example 1

In this example we plot the function y = x2 for x 2 [-2; 2].

x = -2:0.2:2;

y = x.^2;

figure(1);

plot(x,y);

xlabel('x');

ylabel('y=x^2');

title('Simple plot');

figure(2);

stem(x,y);

xlabel('x');

ylabel('y=x^2');

title('Simple stem plot');

This code produces the following two figures.

Figure 1:
 (plotteEksempel1_1.png)
Figure 2:
 (plotteEksempel1_2.png)

Some more commands that can be helpful when working with plots:

  • hold on / off - Normally hold is off. This means that the plot command replaces the current plot with the new one. To add a new plot to an existing graph use hold on. If you want to overwrite the current plot again, use hold off.
  • legend('plot1','plot2',...,'plot N')- The legend command provides an easy way to identify individual plots when there are more than one per figure. A legend box will be added with strings matched to the plots.
  • axis([xmin xmax ymin ymax])- Use the axis command to set the axis as you wish. Use axis on/off to toggle the axis on and off respectively.
  • subplot(m,n,p) -Divides the figure window into m rows, n columns and selects the pp'th subplot as the current plot, e.g subplot(2,1,1) divides the figure in two and selects the upper part. subplot(2,1,2) selects the lower part.
  • grid on/off - This command adds or removes a rectangular grid to your plot.

Example 2

This example illustrates hold, legend and axis.

x = -3:0.1:3; y1 = -x.^2; y2 = x.^2;

figure(1);

plot(x,y1);

hold on;

plot(x,y2,'--');

hold off;

xlabel('x');

ylabel('y_1=-x^2 and y_2=x^2');

legend('y_1=-x^2','y_2=x^2');

figure(2);

plot(x,y1);

hold on;

plot(x,y2,'--');

hold off;

xlabel('x');

ylabel('y_1=-x^2 and y_2=x^2');

legend('y_1=-x^2','y_2=x^2');

axis([-1 1 -10 10]);

The result is shown below.

Figure 3
(a) (b)
Figure 3(a) (plotteEksempel2_1.png)Figure 3(b) (plotteEksempel2_2.png)

Example 3

In this example we illustrate subplot and grid.

x = -3:0.2:3; y1 = -x.^2; y2 = x.^2;

subplot(2,1,1);

plot(x,y1);

xlabel('x'); ylabel('y_1=-x^2');

grid on;

subplot(2,1,2);

plot(x,y2);

xlabel('x');

ylabel('y_2=x^2');

Now, the result is shown below.

Figure 4:
 (plotteEksempel3.png)

Printing and exporting graphics

After you have created your figures you may want to print them or export them to graphic files. In the "File" menu use "Print" to print the figure or "Save As" to save your figure to one of the many available graphics formats. Using these options should be sufficient in most cases, but there are also a large number of adjustments available by using "Export setup", "Page Setup" and "Print Setup".

To streamline the graphics exportation, take a look at exportfig package at Mathworks.com, URL: http://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?objectId=727.

3D Graphics

We end this module on graphics with a sneak peek into 3D plots. The new functions here are meshgrid and mesh. In the example below we see that meshgridproduces xand yvectors suitable for 3D plotting and that mesh(x,y,z) plots z as a function of both x and y.

Example 4

Example: Creating our first 3D plot.

[x,y] = meshgrid(-3:.1:3);

z = x.^2+y.^2;

mesh(x,y,z);

xlabel('x');

ylabel('y');

zlabel('z=x^2+y^2');

This code gives us the following 3D plot.

Figure 5:
 (plotteEksempel3D.png)

Content actions

Give Feedback:

E-mail the module author | Rate module ( How does the rating system work?)

Rating system

Ratings

Ratings allow you to judge the quality of modules. If other users have ranked the module then its average rating is displayed below. Ratings are calculated on a scale from one star (Poor) to five stars (Excellent).

How to rate a module

Hover over the star that corresponds to the rating you wish to assign. Click on the star to add your rating. Your rating should be based on the quality of the content. You must have an account and be logged in to rate content.

(0 ratings)

Download:

Add module to:

My Favorites (?)

'My Favorites' is a special kind of lens which you can use to bookmark modules and collections directly in Connexions. 'My Favorites' can only be seen by you, and collections saved in 'My Favorites' can remember the last module you were on. You need a Connexions account to use 'My Favorites'.

| A lens (?)

Definition of a lens

Lenses

A lens is a custom view of Connexions content. You can think of it as a fancy kind of list that will let you see Connexions through the eyes of organizations and people you trust.

What is in a lens?

Lens makers point to Connexions materials (modules and collections), creating a guide that includes their own comments and descriptive tags about the content.

Who can create a lens?

Any individual Connexions member, a community, or a respected organization.

What are tags? tag icon

Tags are descriptors added by lens makers to help label content, attaching a vocabulary that is meaningful in the context of the lens.

| External bookmarks