Basic plotting - 2.2 | 2. Tutorial lessons - Part A | IT Workshop (Sci Lab/MATLAB)
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Academics
Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Professional Courses
Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skillsβ€”perfect for learners of all ages.

games

2.2 - Basic plotting

Practice

Interactive Audio Lesson

Listen to a student-teacher conversation explaining the topic in a relatable way.

Creating Basic Plots

Unlock Audio Lesson

Signup and Enroll to the course for listening the Audio Lesson

0:00
Teacher
Teacher

Today, we will start with how to create basic plots in MATLAB. Remember, to create a plot, we need our x and y data in the same length. If I say that `x` is a vector of points, what do I mean, Student_1?

Student 1
Student 1

You mean that `x` is just a list of values, right?

Teacher
Teacher

Exactly! Now, let's say we want to plot `x = [1, 2, 3, 4, 5, 6]` against `y = [3, -1, 2, 4, 5, 1]`. Can someone tell me the command we would use?

Student 2
Student 2

Is it just `plot(x,y)`?

Teacher
Teacher

That's correct! Make sure to always check that both vectors match in size. Let’s visualize this graph. What do you expect it to look like?

Student 3
Student 3

It should be some zigzagging line connecting the points!

Teacher
Teacher

Right on! Visualizing the points is a great way to analyze data. We’ll do more of this!

Enhancing the Plot with Labels and Titles

Unlock Audio Lesson

Signup and Enroll to the course for listening the Audio Lesson

0:00
Teacher
Teacher

Now that we know how to create a basic plot, let's make our graphs more informative. Why do you think labels and titles are important, Student_4?

Student 4
Student 4

So that anyone reading the graph understands what it represents?

Teacher
Teacher

That's spot on! In MATLAB, we can add titles and axis labels using `xlabel`, `ylabel`, and `title`. Can anyone give me the syntax?

Student 2
Student 2

Like `xlabel('x-axis')` and `title('Graph Title')`?

Teacher
Teacher

Exactly! Using the backslash for Ο€ is also helpful. If I had a sine function plotted, how would I label it?

Student 1
Student 1

You'd label the y-axis as 'Sine of x'?

Teacher
Teacher

Great! Adding these labels makes the data interpretation easier. Let's add them now!

Multiple Data Sets in One Plot

Unlock Audio Lesson

Signup and Enroll to the course for listening the Audio Lesson

0:00
Teacher
Teacher

What if we have more than one dataset? Why might it be useful to display them in a single graph, Student_3?

Student 3
Student 3

To compare them directly, right?

Teacher
Teacher

Correct! We can plot multiple datasets using the `plot` function simultaneously. Can someone give me an example syntax?

Student 4
Student 4

Like `plot(x,y1,'--', x,y2,'-')`?

Teacher
Teacher

Absolutely! Each dataset can also have a different line style. How do we tell MATLAB which dataset is which?

Student 1
Student 1

By adding a legend!

Teacher
Teacher

Yes! Using the `legend` function helps clarify the data presented in the graph, making it much more useful for interpretation.

Introduction & Overview

Read a summary of the section's main ideas. Choose from Basic, Medium, or Detailed.

Quick Overview

This section introduces the basics of plotting in MATLAB, including how to create simple graphs and customize their appearance.

Standard

In this section, we explore MATLAB's powerful plotting capabilities, detailing how to create 2D plots using vectors, add titles and labels, and manage multiple datasets in a single plot. Understanding these tools enhances the analysis of mathematical functions and data visualization.

Detailed

In Markdown style, this section emphasizes the importance of plotting within MATLAB for both visualization and understanding of mathematical concepts. It starts with the fundamentals of creating 2D plots using vectors for x and y coordinates. The section explains that the primary command for plotting graphs is plot(x,y), where both x and y must be of the same size, either as row or column vectors. The guide progresses to show how to implement additional features such as axis labels and titles, explaining the syntax used, including how to incorporate the Ο€ symbol. Further, it covers how to plot multiple datasets within the same graph and customize the appearance using different line styles and colors. This comprehensive understanding assists students in effectively visualizing their data and mathematical functions.

Youtube Videos

Introduction to Scilab for BEGINNERS | Arrays | Conditional Statements, Loops | Functions
Introduction to Scilab for BEGINNERS | Arrays | Conditional Statements, Loops | Functions

Audio Book

Dive deep into the subject with an immersive audiobook experience.

Overview of MATLAB Plotting

Unlock Audio Book

Signup and Enroll to the course for listening the Audio Book

MATLAB has an excellent set of graphic tools. Plotting a given data set or the results of computation is possible with very few commands. You are highly encouraged to plot mathematical functions and results of analysis as often as possible. Trying to understand mathematical equations with graphics is an enjoyable and very efficient way of learning mathematics. Being able to plot mathematical functions and data freely is the most important step, and this section is written to assist you to do just that.

Detailed Explanation

MATLAB provides powerful tools for creating visual representations of data and mathematical functions. The goal of plotting is to help you visualize complex equations and datasets, making understanding them easier and more engaging. This section aims to empower you with the skills needed to create these plots using simple commands.

Examples & Analogies

Think of plotting like creating a picture from a recipe. Just as each ingredient adds a unique flavor to a dish, each data point adds detail to your plot, helping you to visualize complex flavors of mathematics.

Creating Simple Plots

Unlock Audio Book

Signup and Enroll to the course for listening the Audio Book

The basic MATLAB graphing procedure, for example in 2D, is to take a vector of x-coordinates, x = (x1,...,xN), and a vector of y-coordinates, y = (y1,...,yN), locate the points (xi,yi), with i = 1,2,...,n and then join them by straight lines. You need to prepare x and y in an identical array form; namely, x and y are both row arrays or column arrays of the same length.

The MATLAB command to plot a graph is plot(x,y). The vectors x = (1,2,3,4,5,6) and y = (3,-1,2,4,5,1) produce the picture shown in Figure 2.1.

x = [1 2 3 4 5 6];
y = [3 -1 2 4 5 1];
plot(x,y)

Detailed Explanation

To create a plot in MATLAB, you first define two sets of coordinates: x-coordinates and y-coordinates. Both these sets should be of the same length and can be either in row or column format. The command 'plot(x,y)' is used to render the graph, which connects the designated points with lines. For example, if you have arrays of x values from 1 to 6 and corresponding y values, plotting them will visualize their relationship on a 2D graph.

Examples & Analogies

Imagine mapping a journey on a map where each point you visit has coordinates (x,y). Connecting these points helps visualize your travel path, just as plotting connects data points to show trends or patterns.

Adding Titles and Labels

Unlock Audio Book

Signup and Enroll to the course for listening the Audio Book

MATLAB enables you to add axis labels and titles. For example, using the graph from the previous example, add an x- and y-axis labels. Now label the axes and add a title. The character \pi creates the symbol Ο€. An example of a 2D plot is shown in Figure 2.2.

xlabel('x = 0:2\pi')
ylabel('Sine of x')
title('Plot of the Sine function')

Detailed Explanation

After creating a plot, it is essential to enhance it with labels and titles to make it informative. The 'xlabel' function adds a label to the x-axis, 'ylabel' adds a label to the y-axis, and 'title' provides a title for the entire plot. This step ensures that anyone viewing the graph understands its context and content.

Examples & Analogies

Similar to how a well-labeled map enhances understanding of a geographical area, labeling your plot provides clarity. Imagine reading a book with clear headingsβ€”this helps quickly grasp the themes and subjects being discussed.

Multiple Data Sets in One Plot

Unlock Audio Book

Signup and Enroll to the course for listening the Audio Book

Multiple (x,y) pairs arguments create multiple graphs with a single call to plot. For example, these statements plot three related functions of x: y = 2cos(x), y = cos(x), and y = 0.5cos(x), in the interval 0 ≀ x ≀ 2Ο€.

x = 0:pi/100:2pi;
y1 = 2
cos(x);
y2 = cos(x);
y3 = 0.5cos(x);
plot(x,y1,'--',x,y2,'-',x,y3,':')
xlabel('0 ≀ x ≀ 2Ο€')
ylabel('Cosine functions')
legend('2
cos(x)','cos(x)','0.5cos(x)')
title('Typical example of multiple plots')
axis([0 2
pi -3 3])

Detailed Explanation

You can plot multiple functions on a single graph to compare them directly. By providing multiple (x,y) pairs in the 'plot' function, you can visualize how different functions behave in the same interval. Adding a legend helps differentiate which line belongs to which function, thus making multitasking comparisons clear and efficient.

Examples & Analogies

This is like comparing the prices of three different brands of the same product over a period. If you plot their prices together on the same graph, you can easily observe which brand is cheaper or more expensive at any given time, making decision-making simpler.

Specifying Line Styles and Colors

Unlock Audio Book

Signup and Enroll to the course for listening the Audio Book

It is possible to specify line styles, colors, and markers (e.g., circles, plus signs, ...) using the plot command:

plot(x,y,'style_color_marker')

where style_color_marker is a triplet of values from Table 2.3.

Detailed Explanation

Customizing your plot with different line styles, colors, and markers enhances clarity and presentation. The format for customizing is 'style_color_marker', where you can choose options from a predefined set of styles listed in a table, allowing for varied visual differentiation among data sets.

Examples & Analogies

Just like an artist chooses different colors and brush strokes to bring a painting to life, you can choose various styles and colors in MATLAB to improve the visual appeal and convey different messages with your data plots.

Definitions & Key Concepts

Learn essential terms and foundational ideas that form the basis of the topic.

Key Concepts

  • 2D Plots: Used for visualizing mathematical functions using x and y coordinates.

  • Axis Labels: Important for graph clarity; use xlabel and ylabel to add them.

  • Multiple Datasets: You can plot several datasets in one graph to facilitate comparison.

Examples & Real-Life Applications

See how the concepts apply in real-world scenarios to understand their practical implications.

Examples

  • Example of plotting a sine function using plot(x,sin(x)).

  • Using multiple datasets like y1, y2 in one plot: plot(x,y1,'--', x,y2,'-').

Memory Aids

Use mnemonics, acronyms, or visual cues to help remember key information more easily.

🎡 Rhymes Time

  • Plot a point, connect the line, make your graph look just divine!

πŸ“– Fascinating Stories

  • Imagine you are a painter. Each brushstroke on your canvas connects data points in beautiful harmony.

🧠 Other Memory Gems

  • P.L.E. - Plot, Label, Enhance. This reminds you of the steps: plot your data, label axes, and enhance with titles.

🎯 Super Acronyms

G.P.L.- Graphing, Plotting, Legends - Remember these core concepts for effective plotting!

Flash Cards

Review key concepts with flashcards.

Glossary of Terms

Review the Definitions for terms.

  • Term: Plot

    Definition:

    A graphical representation of data points on a coordinate system.

  • Term: Vector

    Definition:

    An array of numbers typically representing data points in a specific format.

  • Term: Axis Labels

    Definition:

    Text used to describe the x-axis and y-axis of a graph, improving clarity.

  • Term: Title

    Definition:

    Text describing the overall content of a graph.

  • Term: Legend

    Definition:

    A key on a graph that explains what different colors or patterns represent.