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Introduction to xlabel Matlab

MATLAB, as we know, is a great tool for visualization. It provides us with ability to create a wide variety of plots. In this article we will focus on how to label x axis according to our requirement. In MATLAB, xlabels function is used to set a custom label for x axis.

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Let us start by taking the example of a bar plot depicting salaries of employees.

Let A be an array containing salaries of 6 employees Jim, Pam, Toby, Mike, Sam, Steve; in the same order.

A = [ 20000, 25000, 30000, 42000, 70000, 35000 ][Defining an array of salaries]

Now we will plot a bar graph for the data above. We will pass our names as categorical array:

B = categorical ({‘Jim’, ‘Pam’, ‘Toby’, ’ Mike’, ‘Sam’, ‘Steve’ })[Defining an array of employee names]

B = reordercats(B, {‘Jim’, ‘Pam’, ‘Toby’, ‘Mike’, ‘Sam’, ‘Steve’})[Calling ‘reordercats’ to preserve the order]

bar (B, A) [Creating the bar pot]

Now, we will name our x-axis as “Employee Salary”. For doing so, we will be using ‘xlabel’ function.

xlabel({‘Employee Salary’})[Setting the name of x-axis]

Note: That in above line of code, we have passed ‘Employee Salary’ as an argument to ‘xlabel’

This is how our input and output will look like in MATLAB console:

Code:

A = [ 20000, 25000, 30000, 42000, 70000, 35000 ] xlabel({'Employee Salary'})

Output:

As we can see, we have named our x axis as ‘Employee Salary’.

How to get the x-axis label in the color of our choice?

In the above output, MATLAB has created x-axis label in black color. Now what if we want it to be in some other color? For our understanding, we will create x-label in green color.

Syntax

A = [ 20000, 25000, 30000, 42000, 70000, 35000 ][Defining an array of salaries]

Now we will plot a bar graph for the data above. We will pass our names as categorical array:

B = categorical ({‘Jim’, ‘Pam’, ‘Toby’, ’ Mike’, ‘Sam’, ‘Steve’ })[Defining an array of employee names]

B = reordercats(B, {‘Jim, ‘Pam, ‘Toby, Mike, ‘Sam’, ‘Steve’})[Calling ‘reordercats’ to preserve the order]

bar (B, A) [Creating the bar pot]

Now, we will set the color of label for our x-axis as green. For doing so, we will be passing ‘g’in argument.

xlabel(‘Employee Salary’, ‘color’, ‘g’)[Setting the name and color]

Note: That in above line of code, we have passed ‘color’ and ‘g’ as an argument to ‘xlabel’

This is how our input and output will look like in MATLAB console:

A = [ 20000, 25000, 30000, 42000, 70000, 35000 ] xlabel('Employee Salary', 'color', 'g')

Output:

Note: In the above output that ‘Employee Salary’ is now in green color as expected by us.

How to add value from a variable to our xlabel?

For this example, we will see data of half-yearly sales:

Syntax

a = [10.1, 12.1, 14.1, 16.1, 18.1, 20.1][Defining the array with sales in millions ]

b = categorical({‘Jan’, ‘Feb’, ‘March’, ‘April’, ‘May’, ‘June’})[Respective months]

bar(b, a)

year = 2023[Declaring the variable from which we will extract the value]

xlabel([‘Sales in millions for half year’,num2str(year)])

Note: In the above code that we passed our variable as an argument

This is how our input and output will look like in MATLAB console:

Code:

a = [10.1, 12.1, 14.1, 16.1, 18.1, 20.1] xlabel(['Sales in millions for half year',num2str(year)])

Output:

In the above example we can also create a multiline label; i.e we can have the label ‘Sales in millions for half year’ in one line and ‘2023’ in another line. Let us see how to do it.

Syntax

a = [10.1, 12.1, 14.1, 16.1, 18.1, 20.1][Defining the array with sales in millions ]

b = categorical({‘Jan’, ‘Feb’, ‘March’, ‘April’, ‘May’, ‘June’})[Respective months]

bar(b, a)

xlabel({‘Sales in millions for half year’, ‘(2023)’})

Note: In the above code that we have passed an array of characters

This is how our input and output will look like in MATLAB console:

Code:

a = [10.1, 12.1, 14.1, 16.1, 18.1, 20.1] xlabel({'Sales in millions for half year','(2023)'})

Output:

We can see in our output that there are 2 rows of labels now as expected.

Conclusion – xlabel Matlab

MATLAB can be used to plot our data for visualizing and intuitively understanding it. There could be instances when we have to provide a label to our x-axis. In such cases, we make use of the function ‘xlabel’.