Structure Arrays

TOPIC:- STRUCTURE ARRAYS
Presented by :

 About MATLAB
 Arrays
 Types of arrays
 Structure arrays
 Creating structures
 Structure functions
 Program
 Accessing structure arrays
 Summary

 MATLAB (matrix laboratory) is a fourth-generation high-level
programming language and interactive environment for
numerical computation.
 MATLAB is widely used as a computational tool in science
and engineering encompassing the fields of physics ,
chemistry, math and all engineering streams.
It is a range of applications including:
• Signal processing and communications
• Control systems
• Computational biology

 It is started developing MATLAB in
the late 1970s.
 CLEVE MOLER , the chairman of the
computer science department at the
university of New Mexico .
 Moler and Steve Bangert together
rewrote MATLAB in ‘C’ and founded
Math works in 1984 to continue its
development.
CLEVE MOLER
STEVE BANGERT

 One of the strength of MATLAB is the capability to handle
collections of items , called ARRAYS ,as if they were a single
entity.
 The array-handling feature means that MATLAB programs
can be very short.
 The array is the basic building block in MATLAB.

 Numeric array
 Character array
 Logical array
 Cell array
 Structure array
 Function handle array
 Java array

 Structure arrays are composed of structures.
 Numeric, character and cell arrays all reference the individual
elements by number.
 Structures reference individual elements within each row
(called “fields”) by name.
 To access these fields, the dot “.” notation is used.
 Assignment is as follows:
Structurename.Fieldname = datatype;

 Let’s create a simple structure:
>>Person . first name = ‘ramesh’;
Person .Last name = ‘ babu ’;
Person.Address1 = ‘china’;
Person . city = ‘america’;
Person . state = ‘US’;
Person . Zip = ‘30332-0001

 >>person=
first name: ’Ramesh’
last name: ’Babu’
address1:’china’
city : ‘America’
state : ‘US’
Zip: ‘30332-0001’
By creating simple structure then type in command window
person that will display above result i.e is related to
person details . Person(1) also gives same information.

 s= struct(‘f1’,’v1’,’f2’,’v2’,...)
creates a structure array with the fields ‘f1’,’f2’,…
having the values ‘v1’,’v2’,...
Ex:
>>s= struct(‘type’,{‘big’,’little’},’color’,’red’,’x’,{3 4})
s=1x2 struct array with the fields:
type
color
x
.
.

 names=fieldnames(s)
Return the fields names associated with the
structure array S as names , a cell array of strings.
Ex: >>names=fieldnames(s)
names=‘type’
‘color’
‘x’
 isfield(s,’field’)
returns 1 if ‘field’ is the name of a field in the
structure array s and 0 otherwise.

Ex: >>isfield(s,’field’)
ans=0
>>isfield(s,{‘type’,’color’,’x’})
ans=1 1 1
 isstruct(s)
Returns 1 if the array s is a structure array and 0
otherwise
Ex: >>isstruct(s)
ans=1
 s=rmfield(s,’field’)
removes the field ‘field’ from the structure
array s

 Ex: >>s=rmfield(s,’type’)
s=1x2 struct array with fields:
color
x
These are the structure functions and there
descriptions.

 c=structure2cell(s)
converts structure array to cell array.
Ex: >>clear s, s.category=‘tree’;s.height=37.4;
s.name=‘bamboo’;
>>c=struct2cell(s)
c= ‘tree’
[37.4000]
‘bamboo’
>>f=fieldnames(s)
f=‘category’
‘height’
‘name’

 s=cell2struct(c,fields,dim)
converts cell array to structure array.
Here dim means dimensions . c means cell array.
Ex: >>c={‘tree’,37.4,’bamboo’};
f={‘catgeory’,’height’,’name’};
s=cell2struct(c,f,2)
s=
category : ’tree’
height : 37.4000
name : ‘bamboo’

Student . Name . first = ‘kusu’;
student.name . last = ‘kalyan’;
Student . score = 82.39;
Student . grade = ‘B’;
student(2).name . first = ‘Anna’;
student(2).name . last = ‘Tom’;
student(2).score = 94.50;
Student(3).name . first = ‘Jerry’

 The structure arrays can be accessed as :
Ex: >>student . score
ans=82.39
Student(1) score is also similar to that of student.
We can replace the contents of the student by
giving changed information.
Ex:>>student .grade=‘A’;
>>student . grade
ans=A

 By using MATLAB structure arrays can be created ,
accessed easily.
 MATLAB handles vector and matrices very nice . It
is an interpreted language.
 Quick plotting and analysis . It is an interactive
environment.
 Matrix based-handle and manipulate large data sets .
But it is slow compared to C or Java .

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