SlideShare a Scribd company logo
SESSION-6 :MATLAB
PLOTTING-2D, 3D
By: Prof. Ganesh Ingle
Session objective
Introdcution
Plotting basic 2-D plots.
The plot command
The fplot command
Plotting multiple graphs in the same plot
Formatting plots
SUMMARY
MAKING X-Y PLOTS
MATLAB has many functions and commands that can be used to create
various types of plots.
In our class we will only create two dimensional x – y plots.
8 10 12 14 16 18 20 22 24
0
200
400
600
800
1000
1200
DISTANCE (cm)
INTENSITY(lux)
Light Intensity as a Function of Distance
Comparison between theory and experiment.
Theory
Experiment
Plot title
y axis
label
x axis
label
Text
Tick-mark label
EXAMPLE OF A 2-D PLOT
Data symbol
Legend
Tick-mark
Plotting
TWO-DIMENSIONAL plot() COMMAND
where x is a vector (one dimensional array), and y is a vector.
Both vectors must have the same number of elements.
 The plot command creates a single curve with the x values on
the abscissa (horizontal axis) and the y values on the ordinate
(vertical axis).
 The curve is made from segments of lines that connect the
points that are defined by the x and y coordinates of the
elements in the two vectors.
The basic 2-D plot command is:
plot(x,y)
Plotting
 If data is given, the information is entered as the elements of the
vectors x and y.
 If the values of y are determined by a function from the values
of x, than a vector x is created first, and then the values of y
are calculated for each value of x. The spacing (difference)
between the elements of x must be such that the plotted curve
will show the details of the function.
CREATING THE X AND Y VECTORS
Plotting
PLOT OF GIVEN DATA
Given data:
>> x=[1 2 3 5 7 7.5 8 10];
>> y=[2 6.5 7 7 5.5 4 6 8];
>> plot(x,y)
A plot can be created by the commands shown below. This can be done
in the Command Window, or by writing and then running a script file.
Once the plot command is executed, the Figure Window opens with the
following plot.
x
y
1 2 3 5 7 7.5 8
6.5 7 7 5.5 4 6 8
10
2
Plotting
PLOT OF GIVEN DATA
Plotting
LINE SPECIFIERS IN THE plot() COMMAND
Line specifiers can be added in the plot command to:
 Specify the style of the line.
 Specify the color of the line.
 Specify the type of the markers (if markers are desired).
plot(x,y,’line specifiers’)
Plotting
LINE SPECIFIERS IN THE plot() COMMAND
Line Specifier Line Specifier Marker Specifier
Style Color Type
Solid - red r plus sign +
dotted : green g circle o
dashed -- blue b asterisk *
dash-dot -. Cyan c point .
magenta m square s
yellow y diamond d
black k
plot(x,y,‘line specifiers’)
Plotting
LINE SPECIFIERS IN THE plot() COMMAND
 The specifiers are typed inside the plot() command as strings.
 Within the string the specifiers can be typed in any order.
 The specifiers are optional. This means that none, one, two, or
all the three can be included in a command.
EXAMPLES:
plot(x,y) A solid blue line connects the points with no markers.
plot(x,y,’r’) A solid red line connects the points with no markers.
plot(x,y,’--y’) A yellow dashed line connects the points.
plot(x,y,’*’) The points are marked with * (no line between the
points.)
plot(x,y,’g:d’) A green dotted line connects the points which are
marked with diamond markers.
Plotting
Year
Sales (M)
1988 1989 1990 1991 1992 1993 1994
127 130 136 145 158 178 211
PLOT OF GIVEN DATA USING LINE
SPECIFIERS IN THE plot() COMMAND
>> year = [1988:1:1994];
>> sales = [127, 130, 136, 145, 158, 178, 211];
>> plot(year,sales,'--r*')
Line Specifiers:
dashed red line and
asterisk markers.
Plotting
PLOT OF GIVEN DATA USING LINE
SPECIFIERS IN THE plot() COMMAND
Dashed red line and
asterisk markers.
Plotting
PLOT OF GIVEN DATA USING LINE
SPECIFIERS IN THE plot() COMMAND
Dashed red line and
asterisk markers.
Plotting
% A script file that creates a plot of
% the function: 3.5^(-0.5x)*cos(6x)
x = [-2:0.01:4];
y = 3.5.^(-0.5*x).*cos(6*x);
plot(x,y)
CREATING A PLOT OF A FUNCTION
Consider: 42for)6cos(5.3 5.0
 
xxy x
A script file for plotting the function is:
Creating a vector with spacing of 0.01.
Calculating a value of y
for each x.
Once the plot command is executed, the Figure Window opens with the
following plot.
Plotting
A PLOT OF A FUNCTION
42for)6cos(5.3 5.0
 
xxy x
Plotting
CREATING A PLOT OF A FUNCTION
If the vector x is created with large spacing, the graph is not accurate.
Below is the previous plot with spacing of 0.3.
x = [-2:0.3:4];
y = 3.5.^(-0.5*x).*cos(6*x);
plot(x,y)
Plotting
THE fplot COMMAND
fplot(‘function’,limits)
The fplot command can be used to plot a function
with the form: y = f(x)
 The function is typed in as a string.
 The limits is a vector with the domain of x, and optionally with limits
of the y axis:
[xmin,xmax] or [xmin,xmax,ymin,ymax]
 Line specifiers can be added.
Plotting
PLOT OF A FUNCTION WITH THE fplot() COMMAND
>> fplot('x^2 + 4 * sin(2*x) - 1', [-3 3])
33for1)2sin(42
 xxxyA plot of:
Plotting
PLOTTING MULTIPLE GRAPHS IN THE SAME PLOT
Plotting two (or more) graphs in one plot:
1. Using the plot command.
2. Using the hold on, hold off commands.
Plotting
USING THE plot() COMMAND TO PLOT
MULTIPLE GRAPHS IN THE SAME PLOT
Plots three graphs in the same plot:
y versus x, v versus u, and h versus t.
 By default, MATLAB makes the curves in different colors.
 Additional curves can be added.
 The curves can have a specific style by adding specifiers after
each pair, for example:
plot(x,y,u,v,t,h)
plot(x,y,’-b’,u,v,’—r’,t,h,’g:’)
Plotting
USING THE plot() COMMAND TO PLOT
MULTIPLE GRAPHS IN THE SAME PLOT
42  x
Plot of the function, and its first and second
derivatives, for , all in the same plot.
10263 3
 xxy
42  x
x = [-2:0.01:4];
y = 3*x.^3-26*x+6;
yd = 9*x.^2-26;
ydd = 18*x;
plot(x,y,'-b',x,yd,'--r',x,ydd,':k')
vector x with the domain of the function.
Vector y with the function value at each x.
42  x
Vector yd with values of the first derivative.
Vector ydd with values of the second derivative.
Create three graphs, y vs. x (solid blue line),
yd vs. x (dashed red line), and ydd vs. x
(dotted black line) in the same figure.
Plotting
-2 -1 0 1 2 3 4
-40
-20
0
20
40
60
80
100
120
USING THE plot() COMMAND TO PLOT
MULTIPLE GRAPHS IN THE SAME PLOT
Plotting
hold on Holds the current plot and all axis properties so that
subsequent plot commands add to the existing plot.
hold off Returns to the default mode whereby plot commands
erase the previous plots and reset all axis properties
before drawing new plots.
USING THE hold on, hold off, COMMANDS
TO PLOT MULTIPLE GRAPHS IN THE SAME PLOT
This method is useful when all the information (vectors) used for the
plotting is not available a the same time.
Plotting
Plot of the function, and its first and second
derivatives, for all in the same plot.
10263 3
 xxy
42  x
x = [-2:0.01:4];
y = 3*x.^3-26*x+6;
yd = 9*x.^2-26;
ydd = 18*x;
plot(x,y,'-b')
hold on
plot(x,yd,'--r')
plot(x,ydd,':k')
hold off
Two more graphs are created.
First graph is created.
USING THE hold on, hold off, COMMANDS
TO PLOT MULTIPLE GRAPHS IN THE SAME PLOT
Plotting
8 10 12 14 16 18 20 22 24
0
200
400
600
800
1000
1200
DISTANCE (cm)
INTENSITY(lux)
Light Intensity as a Function of Distance
Comparison between theory and experiment.
Theory
Experiment
Plot title
y axis
label
x axis
label
Text
EXAMPLE OF A FORMATTED 2-D PLOT
Data symbol
Legend
Tick-mark
Tick-mark label
Plotting
FORMATTING PLOTS
A plot can be formatted to have a required appearance.
With formatting you can:
 Add title to the plot.
 Add labels to axes.
 Change range of the axes.
 Add legend.
 Add text blocks.
 Add grid.
Plotting
FORMATTING PLOTS
There are two methods to format a plot:
1. Formatting commands.
In this method commands, that make changes or additions to
the plot, are entered after the plot() command. This can be
done in the Command Window, or as part of a program in a
script file.
2. Formatting the plot interactively in the Figure Window.
In this method the plot is formatted by clicking on the plot and
using the menu to make changes or add details.
Plotting
FORMATTING COMMANDS
title(‘string’)
Adds the string as a title at the top of the plot.
xlabel(‘string’)
Adds the string as a label to the x-axis.
ylabel(‘string’)
Adds the string as a label to the y-axis.
axis([xmin xmax ymin ymax])
Sets the minimum and maximum limits of the x- and y-axes.
Plotting
FORMATTING COMMANDS
legend(‘string1’,’string2’,’string3’)
Creates a legend using the strings to label various curves (when
several curves are in one plot). The location of the legend is
specified by the mouse.
text(x,y,’string’)
Places the string (text) on the plot at coordinate x,y relative to
the plot axes.
gtext(‘string’)
Places the string (text) on the plot. When the command
executes the figure window pops and the text location is clicked
with the mouse.
Plotting
EXAMPLE OF A FORMATTED PLOT
Below is a script file of the formatted light intensity plot (2nd slide).
(Some of the formatting options were not covered in the lectures, but
are described in the book)
x=[10:0.1:22];
y=95000./x.^2;
xd=[10:2:22];
yd=[950 640 460 340 250 180 140];
plot(x,y,'-','LineWidth',1.0)
hold on
plot(xd,yd,'ro--','linewidth',1.0,'markersize',10)
hold off
Creating a vector with
light intensity from data.
Creating a vector with coordinates of data points.
Creating vector x for plotting the theoretical curve.
Creating vector y for plotting the theoretical curve.
Plotting
EXAMPLE OF A FORMATTED PLOT
Formatting of the light intensity plot (cont.)
xlabel('DISTANCE (cm)')
ylabel('INTENSITY (lux)')
title('fontname{Arial}Light Intensity as a Function of
Distance','FontSize',14)
axis([8 24 0 1200])
text(14,700,'Comparison between theory and
experiment.','EdgeColor','r','LineWidth',2)
legend('Theory','Experiment',0)
Creating text.
Creating a legend.
Title for the plot.
Setting limits of the axes.
Labels for the axes.
The plot that is obtained is shown again in the next slide.
Plotting
EXAMPLE OF A FORMATTED PLOT
Plotting
FORMATTING A PLOT IN THE FIGURE WINDOW
Once a figure window is open, the figure can be formatted interactively.
Use Figure, Axes,
and Current
Object-
Properties in the
Edit menu
Click here to start the
plot edit mode.
Use the insert menu to
Plotting
MATLAB PROGRAM TO PLOT VI CHARACTERISTICS OF A DIODE
%Matlab program to plot VI characteristics of a diode
clc;
close all;
clear all;
a=input('Enter the temperatre in degree centigrade '); %40
b=input('Enter the reverse saturation current at room temperature '); %25
q=1.6e-19;
k=1.38e-23;
t=a+273;
v=-0.2:0.01:0.25;
i=b*(exp(q*v/(k*t))-1);
plot(v,i)
xlabel('Voltage -->')
ylabel('Current -->')
grid on;
Plotting
DIFFERENT PLOT CODE FOR PRACTISE
Plotting
%%
x=[10:0.1:22];
y=95000./x.^2;
xd=[10:2:22];
yd=[950 640 460 340 250 180 140];
plot(x,y,'-','LineWidth',1.0)
hold on
plot(xd,yd,'ro--','linewidth',1.0,'markersize',10)
hold off
xlabel('DISTANCE (cm)')
ylabel('INTENSITY (lux)')
title('fontname{Arial}Light Intensity as a Function of Distance','FontSize',14)
axis([8 24 0 1200])
text(14,700,'Comparison between theory and experiment.','EdgeColor','r','LineWidth',2)
legend('Theory','Experiment',0)
%%
clear all;
x = randn(1,1000);
hist(x,100);
%%
figure(2);
t=-4:.1:4;
y = exp(-t.^2);
plot(t,y);
%%
t = 0:pi/20:2*pi;
x = sin(t);
y = cos(t);
figure(1);
plot(x);
figure(2);
plot(t,y);
figure(3);
plot(x,y);
DIFFERENT PLOT CODE FOR PRACTISE
Plotting
%%
sys = tf([2 5 1],[1 2 3]);
rlocus(sys)
sys = tf([0.5 -1],[4 0 3 0 2]);
k = (1:0.5:5);
r = rlocus(sys,k);
size(r)
rlocus(sys,k)
%%
[x,y] = meshgrid(-2:.1:2, -2:.1:2);
z = x.*exp(-x.^2 - y.^2);
mesh(z);
%%
%Matlab program to plot VI characteristics of a diode
clc;
close all;
clear all;
a=input('Enter the temperatre in degree centigrade ');
b=input('Enter the reverse saturation current at room temperature ');
q=1.6e-19;
k=1.38e-23;
t=a+273;
v=-0.2:0.01:0.25;
i=b*(exp(q*v/(k*t))-1);
plot(v,i)
xlabel('Voltage -->')
ylabel('Current -->')
grid on;
THANK YOU
Image Source
searchenterpriseai.techtarget.com
wikipedia

More Related Content

PDF
INTRODUCTION TO MATLAB session with notes
PDF
Programming with matlab session 1
PPTX
Introduction to matlab lecture 3 of 4
PDF
Matlab Graphics Tutorial
PPTX
Introduction to matlab lecture 2 of 4
PDF
Matlab plotting
PPTX
Introduction to matlab lecture 4 of 4
PPTX
Intro to matlab
INTRODUCTION TO MATLAB session with notes
Programming with matlab session 1
Introduction to matlab lecture 3 of 4
Matlab Graphics Tutorial
Introduction to matlab lecture 2 of 4
Matlab plotting
Introduction to matlab lecture 4 of 4
Intro to matlab

What's hot (20)

PPTX
2D Plot Matlab
PDF
Matlab lec1
PPT
Octave - Prototyping Machine Learning Algorithms
PDF
Matlab solved problems
PDF
Matlab practice
PPTX
Matlab matrices and arrays
PPTX
matlab
PPTX
MATLAB - Arrays and Matrices
PPTX
Matlab Tutorial
PPT
Matlab introduction
PDF
Lec 9 05_sept [compatibility mode]
PDF
Matlab 1
PDF
Sample presentation slides template
PPTX
Introduction to matlab
PDF
MATLAB for Technical Computing
PDF
Matlab differential
PPTX
MATLAB - Aplication of Arrays and Matrices in Electrical Systems
DOCX
B61301007 matlab documentation
PDF
Mit6 094 iap10_lec01
2D Plot Matlab
Matlab lec1
Octave - Prototyping Machine Learning Algorithms
Matlab solved problems
Matlab practice
Matlab matrices and arrays
matlab
MATLAB - Arrays and Matrices
Matlab Tutorial
Matlab introduction
Lec 9 05_sept [compatibility mode]
Matlab 1
Sample presentation slides template
Introduction to matlab
MATLAB for Technical Computing
Matlab differential
MATLAB - Aplication of Arrays and Matrices in Electrical Systems
B61301007 matlab documentation
Mit6 094 iap10_lec01
Ad

Similar to Programming with matlab session 6 (20)

PPTX
Matlab plotting
PDF
M2M_250327_22434hjjik7_250411_183538.pdf
DOC
Lesson 3
PDF
Notes and guide for matlab coding and excersie
PPTX
Lecture_3.pptx
PPTX
lect.no.3.pptx
PPTX
MATLABgraphPlotting.pptx
PDF
raster algorithm.pdf
PPTX
Explanation on Tensorflow example -Deep mnist for expert
DOCX
More instructions for the lab write-up1) You are not obli.docx
DOCX
Introduction to r
PDF
Lectures r-graphics
PPTX
Introduction to MATLAB Programming for Engineers
PPTX
Matlab ch1 (6)
PPTX
R Language Introduction
PPTX
matlab presentation fro engninering students
PPTX
COMPANION TO MATRICES SESSION III.pptx
PPTX
statistical computation using R- an intro..
PPTX
Graph Plots in Matlab
PPTX
Matlab: Graph Plots
Matlab plotting
M2M_250327_22434hjjik7_250411_183538.pdf
Lesson 3
Notes and guide for matlab coding and excersie
Lecture_3.pptx
lect.no.3.pptx
MATLABgraphPlotting.pptx
raster algorithm.pdf
Explanation on Tensorflow example -Deep mnist for expert
More instructions for the lab write-up1) You are not obli.docx
Introduction to r
Lectures r-graphics
Introduction to MATLAB Programming for Engineers
Matlab ch1 (6)
R Language Introduction
matlab presentation fro engninering students
COMPANION TO MATRICES SESSION III.pptx
statistical computation using R- an intro..
Graph Plots in Matlab
Matlab: Graph Plots
Ad

More from Infinity Tech Solutions (20)

PDF
Database management system session 6
PDF
Database management system session 5
PDF
Database Management System-session 3-4-5
PDF
Database Management System-session1-2
PDF
Main topic 3 problem solving and office automation
PDF
Introduction to c programming
PDF
PDF
Bds session 13 14
PDF
Computer memory, Types of programming languages
PDF
Basic hardware familiarization
PDF
User defined functions in matlab
PDF
Programming with matlab session 3 notes
PPTX
AI/ML/DL/BCT A Revolution in Maritime Sector
PDF
Programming with matlab session 5 looping
PDF
BIG DATA Session 7 8
PDF
BIG DATA Session 6
PDF
Database management system session 6
Database management system session 5
Database Management System-session 3-4-5
Database Management System-session1-2
Main topic 3 problem solving and office automation
Introduction to c programming
Bds session 13 14
Computer memory, Types of programming languages
Basic hardware familiarization
User defined functions in matlab
Programming with matlab session 3 notes
AI/ML/DL/BCT A Revolution in Maritime Sector
Programming with matlab session 5 looping
BIG DATA Session 7 8
BIG DATA Session 6

Recently uploaded (20)

PPTX
UNIT-1 - COAL BASED THERMAL POWER PLANTS
PDF
composite construction of structures.pdf
PPTX
M Tech Sem 1 Civil Engineering Environmental Sciences.pptx
PDF
PPT on Performance Review to get promotions
DOCX
573137875-Attendance-Management-System-original
PPTX
Geodesy 1.pptx...............................................
PDF
keyrequirementskkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk
PPTX
OOP with Java - Java Introduction (Basics)
PPTX
Recipes for Real Time Voice AI WebRTC, SLMs and Open Source Software.pptx
PPTX
Infosys Presentation by1.Riyan Bagwan 2.Samadhan Naiknavare 3.Gaurav Shinde 4...
PDF
Embodied AI: Ushering in the Next Era of Intelligent Systems
PPTX
additive manufacturing of ss316l using mig welding
PPTX
Internet of Things (IOT) - A guide to understanding
PDF
Structs to JSON How Go Powers REST APIs.pdf
PPTX
Strings in CPP - Strings in C++ are sequences of characters used to store and...
PDF
Model Code of Practice - Construction Work - 21102022 .pdf
PDF
Mitigating Risks through Effective Management for Enhancing Organizational Pe...
PPTX
Lesson 3_Tessellation.pptx finite Mathematics
PPTX
Foundation to blockchain - A guide to Blockchain Tech
PDF
The CXO Playbook 2025 – Future-Ready Strategies for C-Suite Leaders Cerebrai...
UNIT-1 - COAL BASED THERMAL POWER PLANTS
composite construction of structures.pdf
M Tech Sem 1 Civil Engineering Environmental Sciences.pptx
PPT on Performance Review to get promotions
573137875-Attendance-Management-System-original
Geodesy 1.pptx...............................................
keyrequirementskkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk
OOP with Java - Java Introduction (Basics)
Recipes for Real Time Voice AI WebRTC, SLMs and Open Source Software.pptx
Infosys Presentation by1.Riyan Bagwan 2.Samadhan Naiknavare 3.Gaurav Shinde 4...
Embodied AI: Ushering in the Next Era of Intelligent Systems
additive manufacturing of ss316l using mig welding
Internet of Things (IOT) - A guide to understanding
Structs to JSON How Go Powers REST APIs.pdf
Strings in CPP - Strings in C++ are sequences of characters used to store and...
Model Code of Practice - Construction Work - 21102022 .pdf
Mitigating Risks through Effective Management for Enhancing Organizational Pe...
Lesson 3_Tessellation.pptx finite Mathematics
Foundation to blockchain - A guide to Blockchain Tech
The CXO Playbook 2025 – Future-Ready Strategies for C-Suite Leaders Cerebrai...

Programming with matlab session 6

  • 2. Session objective Introdcution Plotting basic 2-D plots. The plot command The fplot command Plotting multiple graphs in the same plot Formatting plots SUMMARY
  • 3. MAKING X-Y PLOTS MATLAB has many functions and commands that can be used to create various types of plots. In our class we will only create two dimensional x – y plots.
  • 4. 8 10 12 14 16 18 20 22 24 0 200 400 600 800 1000 1200 DISTANCE (cm) INTENSITY(lux) Light Intensity as a Function of Distance Comparison between theory and experiment. Theory Experiment Plot title y axis label x axis label Text Tick-mark label EXAMPLE OF A 2-D PLOT Data symbol Legend Tick-mark Plotting
  • 5. TWO-DIMENSIONAL plot() COMMAND where x is a vector (one dimensional array), and y is a vector. Both vectors must have the same number of elements.  The plot command creates a single curve with the x values on the abscissa (horizontal axis) and the y values on the ordinate (vertical axis).  The curve is made from segments of lines that connect the points that are defined by the x and y coordinates of the elements in the two vectors. The basic 2-D plot command is: plot(x,y) Plotting
  • 6.  If data is given, the information is entered as the elements of the vectors x and y.  If the values of y are determined by a function from the values of x, than a vector x is created first, and then the values of y are calculated for each value of x. The spacing (difference) between the elements of x must be such that the plotted curve will show the details of the function. CREATING THE X AND Y VECTORS Plotting
  • 7. PLOT OF GIVEN DATA Given data: >> x=[1 2 3 5 7 7.5 8 10]; >> y=[2 6.5 7 7 5.5 4 6 8]; >> plot(x,y) A plot can be created by the commands shown below. This can be done in the Command Window, or by writing and then running a script file. Once the plot command is executed, the Figure Window opens with the following plot. x y 1 2 3 5 7 7.5 8 6.5 7 7 5.5 4 6 8 10 2 Plotting
  • 8. PLOT OF GIVEN DATA Plotting
  • 9. LINE SPECIFIERS IN THE plot() COMMAND Line specifiers can be added in the plot command to:  Specify the style of the line.  Specify the color of the line.  Specify the type of the markers (if markers are desired). plot(x,y,’line specifiers’) Plotting
  • 10. LINE SPECIFIERS IN THE plot() COMMAND Line Specifier Line Specifier Marker Specifier Style Color Type Solid - red r plus sign + dotted : green g circle o dashed -- blue b asterisk * dash-dot -. Cyan c point . magenta m square s yellow y diamond d black k plot(x,y,‘line specifiers’) Plotting
  • 11. LINE SPECIFIERS IN THE plot() COMMAND  The specifiers are typed inside the plot() command as strings.  Within the string the specifiers can be typed in any order.  The specifiers are optional. This means that none, one, two, or all the three can be included in a command. EXAMPLES: plot(x,y) A solid blue line connects the points with no markers. plot(x,y,’r’) A solid red line connects the points with no markers. plot(x,y,’--y’) A yellow dashed line connects the points. plot(x,y,’*’) The points are marked with * (no line between the points.) plot(x,y,’g:d’) A green dotted line connects the points which are marked with diamond markers. Plotting
  • 12. Year Sales (M) 1988 1989 1990 1991 1992 1993 1994 127 130 136 145 158 178 211 PLOT OF GIVEN DATA USING LINE SPECIFIERS IN THE plot() COMMAND >> year = [1988:1:1994]; >> sales = [127, 130, 136, 145, 158, 178, 211]; >> plot(year,sales,'--r*') Line Specifiers: dashed red line and asterisk markers. Plotting
  • 13. PLOT OF GIVEN DATA USING LINE SPECIFIERS IN THE plot() COMMAND Dashed red line and asterisk markers. Plotting
  • 14. PLOT OF GIVEN DATA USING LINE SPECIFIERS IN THE plot() COMMAND Dashed red line and asterisk markers. Plotting
  • 15. % A script file that creates a plot of % the function: 3.5^(-0.5x)*cos(6x) x = [-2:0.01:4]; y = 3.5.^(-0.5*x).*cos(6*x); plot(x,y) CREATING A PLOT OF A FUNCTION Consider: 42for)6cos(5.3 5.0   xxy x A script file for plotting the function is: Creating a vector with spacing of 0.01. Calculating a value of y for each x. Once the plot command is executed, the Figure Window opens with the following plot. Plotting
  • 16. A PLOT OF A FUNCTION 42for)6cos(5.3 5.0   xxy x Plotting
  • 17. CREATING A PLOT OF A FUNCTION If the vector x is created with large spacing, the graph is not accurate. Below is the previous plot with spacing of 0.3. x = [-2:0.3:4]; y = 3.5.^(-0.5*x).*cos(6*x); plot(x,y) Plotting
  • 18. THE fplot COMMAND fplot(‘function’,limits) The fplot command can be used to plot a function with the form: y = f(x)  The function is typed in as a string.  The limits is a vector with the domain of x, and optionally with limits of the y axis: [xmin,xmax] or [xmin,xmax,ymin,ymax]  Line specifiers can be added. Plotting
  • 19. PLOT OF A FUNCTION WITH THE fplot() COMMAND >> fplot('x^2 + 4 * sin(2*x) - 1', [-3 3]) 33for1)2sin(42  xxxyA plot of: Plotting
  • 20. PLOTTING MULTIPLE GRAPHS IN THE SAME PLOT Plotting two (or more) graphs in one plot: 1. Using the plot command. 2. Using the hold on, hold off commands. Plotting
  • 21. USING THE plot() COMMAND TO PLOT MULTIPLE GRAPHS IN THE SAME PLOT Plots three graphs in the same plot: y versus x, v versus u, and h versus t.  By default, MATLAB makes the curves in different colors.  Additional curves can be added.  The curves can have a specific style by adding specifiers after each pair, for example: plot(x,y,u,v,t,h) plot(x,y,’-b’,u,v,’—r’,t,h,’g:’) Plotting
  • 22. USING THE plot() COMMAND TO PLOT MULTIPLE GRAPHS IN THE SAME PLOT 42  x Plot of the function, and its first and second derivatives, for , all in the same plot. 10263 3  xxy 42  x x = [-2:0.01:4]; y = 3*x.^3-26*x+6; yd = 9*x.^2-26; ydd = 18*x; plot(x,y,'-b',x,yd,'--r',x,ydd,':k') vector x with the domain of the function. Vector y with the function value at each x. 42  x Vector yd with values of the first derivative. Vector ydd with values of the second derivative. Create three graphs, y vs. x (solid blue line), yd vs. x (dashed red line), and ydd vs. x (dotted black line) in the same figure. Plotting
  • 23. -2 -1 0 1 2 3 4 -40 -20 0 20 40 60 80 100 120 USING THE plot() COMMAND TO PLOT MULTIPLE GRAPHS IN THE SAME PLOT Plotting
  • 24. hold on Holds the current plot and all axis properties so that subsequent plot commands add to the existing plot. hold off Returns to the default mode whereby plot commands erase the previous plots and reset all axis properties before drawing new plots. USING THE hold on, hold off, COMMANDS TO PLOT MULTIPLE GRAPHS IN THE SAME PLOT This method is useful when all the information (vectors) used for the plotting is not available a the same time. Plotting
  • 25. Plot of the function, and its first and second derivatives, for all in the same plot. 10263 3  xxy 42  x x = [-2:0.01:4]; y = 3*x.^3-26*x+6; yd = 9*x.^2-26; ydd = 18*x; plot(x,y,'-b') hold on plot(x,yd,'--r') plot(x,ydd,':k') hold off Two more graphs are created. First graph is created. USING THE hold on, hold off, COMMANDS TO PLOT MULTIPLE GRAPHS IN THE SAME PLOT Plotting
  • 26. 8 10 12 14 16 18 20 22 24 0 200 400 600 800 1000 1200 DISTANCE (cm) INTENSITY(lux) Light Intensity as a Function of Distance Comparison between theory and experiment. Theory Experiment Plot title y axis label x axis label Text EXAMPLE OF A FORMATTED 2-D PLOT Data symbol Legend Tick-mark Tick-mark label Plotting
  • 27. FORMATTING PLOTS A plot can be formatted to have a required appearance. With formatting you can:  Add title to the plot.  Add labels to axes.  Change range of the axes.  Add legend.  Add text blocks.  Add grid. Plotting
  • 28. FORMATTING PLOTS There are two methods to format a plot: 1. Formatting commands. In this method commands, that make changes or additions to the plot, are entered after the plot() command. This can be done in the Command Window, or as part of a program in a script file. 2. Formatting the plot interactively in the Figure Window. In this method the plot is formatted by clicking on the plot and using the menu to make changes or add details. Plotting
  • 29. FORMATTING COMMANDS title(‘string’) Adds the string as a title at the top of the plot. xlabel(‘string’) Adds the string as a label to the x-axis. ylabel(‘string’) Adds the string as a label to the y-axis. axis([xmin xmax ymin ymax]) Sets the minimum and maximum limits of the x- and y-axes. Plotting
  • 30. FORMATTING COMMANDS legend(‘string1’,’string2’,’string3’) Creates a legend using the strings to label various curves (when several curves are in one plot). The location of the legend is specified by the mouse. text(x,y,’string’) Places the string (text) on the plot at coordinate x,y relative to the plot axes. gtext(‘string’) Places the string (text) on the plot. When the command executes the figure window pops and the text location is clicked with the mouse. Plotting
  • 31. EXAMPLE OF A FORMATTED PLOT Below is a script file of the formatted light intensity plot (2nd slide). (Some of the formatting options were not covered in the lectures, but are described in the book) x=[10:0.1:22]; y=95000./x.^2; xd=[10:2:22]; yd=[950 640 460 340 250 180 140]; plot(x,y,'-','LineWidth',1.0) hold on plot(xd,yd,'ro--','linewidth',1.0,'markersize',10) hold off Creating a vector with light intensity from data. Creating a vector with coordinates of data points. Creating vector x for plotting the theoretical curve. Creating vector y for plotting the theoretical curve. Plotting
  • 32. EXAMPLE OF A FORMATTED PLOT Formatting of the light intensity plot (cont.) xlabel('DISTANCE (cm)') ylabel('INTENSITY (lux)') title('fontname{Arial}Light Intensity as a Function of Distance','FontSize',14) axis([8 24 0 1200]) text(14,700,'Comparison between theory and experiment.','EdgeColor','r','LineWidth',2) legend('Theory','Experiment',0) Creating text. Creating a legend. Title for the plot. Setting limits of the axes. Labels for the axes. The plot that is obtained is shown again in the next slide. Plotting
  • 33. EXAMPLE OF A FORMATTED PLOT Plotting
  • 34. FORMATTING A PLOT IN THE FIGURE WINDOW Once a figure window is open, the figure can be formatted interactively. Use Figure, Axes, and Current Object- Properties in the Edit menu Click here to start the plot edit mode. Use the insert menu to Plotting
  • 35. MATLAB PROGRAM TO PLOT VI CHARACTERISTICS OF A DIODE %Matlab program to plot VI characteristics of a diode clc; close all; clear all; a=input('Enter the temperatre in degree centigrade '); %40 b=input('Enter the reverse saturation current at room temperature '); %25 q=1.6e-19; k=1.38e-23; t=a+273; v=-0.2:0.01:0.25; i=b*(exp(q*v/(k*t))-1); plot(v,i) xlabel('Voltage -->') ylabel('Current -->') grid on; Plotting
  • 36. DIFFERENT PLOT CODE FOR PRACTISE Plotting %% x=[10:0.1:22]; y=95000./x.^2; xd=[10:2:22]; yd=[950 640 460 340 250 180 140]; plot(x,y,'-','LineWidth',1.0) hold on plot(xd,yd,'ro--','linewidth',1.0,'markersize',10) hold off xlabel('DISTANCE (cm)') ylabel('INTENSITY (lux)') title('fontname{Arial}Light Intensity as a Function of Distance','FontSize',14) axis([8 24 0 1200]) text(14,700,'Comparison between theory and experiment.','EdgeColor','r','LineWidth',2) legend('Theory','Experiment',0) %% clear all; x = randn(1,1000); hist(x,100); %% figure(2); t=-4:.1:4; y = exp(-t.^2); plot(t,y); %% t = 0:pi/20:2*pi; x = sin(t); y = cos(t); figure(1); plot(x); figure(2); plot(t,y); figure(3); plot(x,y);
  • 37. DIFFERENT PLOT CODE FOR PRACTISE Plotting %% sys = tf([2 5 1],[1 2 3]); rlocus(sys) sys = tf([0.5 -1],[4 0 3 0 2]); k = (1:0.5:5); r = rlocus(sys,k); size(r) rlocus(sys,k) %% [x,y] = meshgrid(-2:.1:2, -2:.1:2); z = x.*exp(-x.^2 - y.^2); mesh(z); %% %Matlab program to plot VI characteristics of a diode clc; close all; clear all; a=input('Enter the temperatre in degree centigrade '); b=input('Enter the reverse saturation current at room temperature '); q=1.6e-19; k=1.38e-23; t=a+273; v=-0.2:0.01:0.25; i=b*(exp(q*v/(k*t))-1); plot(v,i) xlabel('Voltage -->') ylabel('Current -->') grid on;