
- •Matlab r2013a стр. 225
- •Continue Long Statements on Multiple Lines
- •Creating and Concatenating Matrices
- •Overview
- •Constructing a Simple Matrix
- •Entering Signed Numbers
- •Specialized Matrix Functions
- •Examples
- •Concatenating Matrices
- •Keeping Matrices Rectangular
- •Matrix Concatenation Functions
- •Examples
- •Generating a Numeric Sequence
- •The Colon Operator
- •Using the Colon Operator with a Step Value
- •Matrix Indexing
- •Accessing Single Elements
- •Linear Indexing
- •Functions That Control Indexing Style
- •Accessing Multiple Elements
- •Nonconsecutive Elements
- •The end Keyword
- •Specifying All Elements of a Row or Column
- •Using Logicals in Array Indexing
- •Logical Indexing – Example 1
- •Logical Indexing – Example 2
- •Logical Indexing with a Smaller Array
- •Single-Colon Indexing with Different Array Types
- •Indexing on Assignment
- •Arithmetic Operators
- •Arithmetic Operators and Arrays
- •Operator Precedence
- •Precedence of and and or Operators
- •Overriding Default Precedence
- •Relational Operators and Arrays
- •Relational Operators and Empty Arrays
- •Overview of the Logical Class
- •Logical Operators
- •Element-Wise Operators and Functions
- •Short-Circuit Operators
- •Precedence of and and or Operators
- •Symbol Reference
- •Asterisk — *
- •Filename Wildcard
- •Function Handle Constructor
- •Class Folder Designator
- •Line Continuation
- •Dynamic Structure Fields
- •Exclamation Point — !
- •Semicolon — ;
- •Array Row Separator
- •Output Suppression
- •Command or Statement Separator
- •Single Quotes — ' '
- •Square Brackets — [ ]
- •Fundamental matlab Classes
- •More About
- •Overview of Numeric Classes
- •Integers
- •Integer Classes
- •Creating Integer Data
- •Arithmetic Operations on Integer Classes
- •Largest and Smallest Values for Integer Classes
- •Integer Functions
- •Floating-Point Numbers
- •Double-Precision Floating Point
- •Single-Precision Floating Point
- •Creating Floating-Point Data
- •Creating Double-Precision Data
- •Creating Single-Precision Data
- •Arithmetic Operations on Floating-Point Numbers
- •Double-Precision Operations
- •Single-Precision Operations
- •Largest and Smallest Values for Floating-Point Classes
- •Largest and Smallest Double-Precision Values
- •Largest and Smallest Single-Precision Values
- •Accuracy of Floating-Point Data
- •Double-Precision Accuracy
- •Single-Precision Accuracy
- •Avoiding Common Problems with Floating-Point Arithmetic
- •Example 1 — Round-Off or What You Get Is Not What You Expect
- •Example 2 — Catastrophic Cancellation
- •Example 3 — Floating-Point Operations and Linear Algebra
- •Floating-Point Functions
- •Creating a Rectangular Character Array
- •Combining Strings Vertically
- •Combining Strings Horizontally
- •Identifying Characters in a String
- •Working with Space Characters
- •Expanding Character Arrays
- •String Comparisons
- •Comparing Strings for Equality
- •Comparing for Equality Using Operators
- •Categorizing Characters Within a String
- •Create a Structure Array
- •Access Data in a Structure Array
- •Concatenate Structures
- •Generate Field Names from Variables
- •Access Data in Nested Structures
- •Access Elements of a Nonscalar Struct Array
- •Create a Cell Array
- •Access Data in a Cell Array
- •Add Cells to a Cell Array
- •Delete Data from a Cell Array
- •Combine Cell Arrays
- •Pass Contents of Cell Arrays to Functions
- •Multilevel Indexing to Access Parts of Cells
- •Related Examples
- •What Is a Function Handle?
- •Creating a Function Handle
- •Maximum Length of a Function Name
- •The Role of Scope, Precedence, and Overloading When Creating a Function Handle
- •Obtaining Permissions from Class Methods
- •Example
- •Using Function Handles for Anonymous Functions
- •Arrays of Function Handles
- •Calling a Function Using Its Handle
- •Calling Syntax
- •Calling a Function with Multiple Outputs
- •Returning a Handle for Use Outside of a Function File
- •Example — Using Function Handles in Optimization
- •Preserving Data from the Workspace
- •Preserving Data with Anonymous Functions
- •Preserving Data with Nested Functions
- •Loading a Saved Handle to a Nested Function
- •Applications of Function Handles
- •Example of Passing a Function Handle
- •Pass a Function to Another Function
- •Example 1 — Run integral on Varying Functions
- •Example 2 — Run integral on Anonymous Functions
- •Example 3 — Compare integral Results on Different Functions
- •Capture Data Values For Later Use By a Function
- •Example 1 — Constructing a Function Handle that Preserves Its Variables
- •Example 2 — Varying Data Values Stored in a Function Handle
- •Example 3 — You Cannot Vary Data in a Handle to an Anonymous Function
- •Call Functions Outside of Their Normal Scope
- •Save the Handle in a mat-File for Use in a Later matlab Session
- •Parameterizing Functions
- •Overview
- •Parameterizing Using Nested Functions
- •Parameterizing Using Anonymous Functions
- •See Also
- •More About
- •Saving and Loading Function Handles
- •Invalid or Obsolete Function Handles
- •Advanced Operations on Function Handles
- •Examining a Function Handle
- •Converting to and from a String
- •Converting a String to a Function Handle
- •Converting a Function Handle to a String
- •Comparing Function Handles
- •Comparing Handles Constructed from a Named Function
- •Comparing Handles to Anonymous Functions
- •Comparing Handles to Nested Functions
- •Comparing Handles Saved to a mat-File
- •Overview of the Map Data Structure
- •Description of the Map Class
- •Properties of the Map Class
- •Methods of the Map Class
- •Creating a Map Object
- •Constructing an Empty Map Object
- •Constructing An Initialized Map Object
- •Combining Map Objects
- •Examining the Contents of the Map
- •Reading and Writing Using a Key Index
- •Reading From the Map
- •Adding Key/Value Pairs
- •Building a Map with Concatenation
- •Modifying Keys and Values in Map
- •Removing Keys and Values from the Map
- •Modifying Values
- •Modifying Keys
- •Modifying a Copy of the Map
- •Mapping to Different Value Types
- •Mapping to a Structure Array
- •Mapping to a Cell Array
R2013a>MATLAB>Language Fundamentals>Data Types>Cell Arrays
Create a Cell Array
This example shows how to create a cell array using the {} operator or the cell function.
When you have data to put into a cell array, create the array using the cell array construction operator, {}:
myCell = {1, 2, 3;
'text', rand(5,10,2), {11; 22; 33}}
Like all MATLAB® arrays, cell arrays are rectangular, with the same number of cells in each row. myCell is a 2-by-3 cell array:
myCell =
[ 1] [ 2] [ 3]
'text' [5x10x2 double] {3x1 cell}
You also can use the {} operator to create an empty 0-by-0 cell array,
C = {}
If you plan to add values to a cell array over time or in a loop, you can create an empty n-dimensional array using the cell function:
emptyCell = cell(3,4,2)
emptyCell is a 3-by-4-by-2 cell array, where each cell contains an empty array, []:
emptyCell(:,:,1) =
[] [] [] []
[] [] [] []
[] [] [] []
emptyCell(:,:,2) =
[] [] [] []
[] [] [] []
[] [] [] []
For more information, see:
Access Data in a Cell Array (R2013a>MATLAB>Language Fundamentals>Matrices and Arrays>Indexing)
Multidimensional Cell Arrays (R2013a>MATLAB>Language Fundamentals>Matrices and Arrays>Sorting and Reshaping Arrays>Multidimensional Arrays)
R2013a>MATLAB>Language Fundamentals>Data Types>Cell Arrays
Access Data in a Cell Array
This example shows how to read and write data to and from a cell array. To run the code in this example, create a 2-by-3 cell array of text and numeric data:
C = {'one', 'two', 'three';
1, 2, 3};
There are two ways to refer to the elements of a cell array. Enclose indices in smooth parentheses, (), to refer to sets of cells—for example, to define a subset of the array. Enclose indices in curly braces, {}, to refer to the text, numbers, or other data within individual cells.
Cell Indexing with Smooth Parentheses, ()
Cell array indices in smooth parentheses refer to sets of cells. For example, the command
upperLeft = C(1:2,1:2)
creates a 2-by-2 cell array:
upperLeft =
'one' 'two'
[ 1] [ 2]
Update sets of cells by replacing them with the same number of cells. For example, the statement
C(1,1:3) = {'first','second','third'}
replaces the cells in the first row of C with an equivalent-sized (1-by-3) cell array:
C =
'first' 'second' 'third'
[ 1] [ 2] [ 3]
If cells in your array contain numeric data, you can convert the cells to a numeric array using the cell2mat function:
numericCells = C(2,1:3)
numericVector = cell2mat(numericCells)
numericCells is a 1-by-3 cell array, but numericVector is a 1-by-3 array of type double:
numericCells =
[1] [2] [3]
numericVector =
1 2 3 (из numericCells извлечены данные и объединены в единый массив numericVector потому, что эти данные - одного типа)
Content Indexing with Curly Braces, {}
Access the contents of cells—the numbers, text, or other data within the cells—by indexing with curly braces. For example, the command
last = C{2,3}
creates a numeric variable of type double, because the cell contains a double value:
last =
3
Similarly, this command
C{2,3} = 300
replaces the contents of the last cell of C with a new, numeric value:
C =
'first' 'second' 'third'
[ 1] [ 2] [ 300]
When you access the contents of multiple cells, such as
C{1:2,1:2}
MATLAB® creates a comma-separated list. Because each cell can contain a different type of data, you cannot assign this list to a single variable. However, you can assign the list to the same number of variables as cells. MATLAB assigns to the variables in column order. For example,
[r1c1, r2c1, r1c2, r2c2] = C{1:2,1:2}
returns
r1c1 =
first
r2c1 =
1
r1c2 =
second
r2c2 =
2
If each cell contains the same type of data, you can create a single variable by applying the array concatenation operator, [], to the comma-separated list. For example,
nums = [C{2,:}]
returns
nums =
1 2 300
For more information, see:
Multilevel Indexing to Access Parts of Cells (R2013a>MATLAB>Language Fundamentals>Data Types>Cell Arrays)
Comma-Separated Lists (R2013a>MATLAB>Language Fundamentals>Entering Commands)