Add numbers, append strings
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Syntax
C = A + B
C = plus(A,B)
Description
example
C = A + B
adds arrays A
and B
by adding corresponding elements. If one input is a string array, then plus
appends the corresponding elements as strings.
The sizes of A
and B
must be the same or be compatible. If the sizes of A
and B
are compatible, then the two arrays implicitly expand to match each other. For example, if one of A
or B
is a scalar, then the scalar is combined with each element of the other array. Also, vectors with different orientations (one row vector and one column vector) implicitly expand to form a matrix.
C = plus(A,B)
isan alternate way to execute A + B
, but is rarelyused. It enables operator overloading for classes.
Examples
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Add Scalar to Array
Open Live Script
Create an array, A
, and add a scalar value to it.
A = [0 1; 1 0];C = A + 2
C = 2×2 2 3 3 2
The scalar value is added to each entry of A
.
Append Strings
Open Live Script
Create two 1-by-3 string arrays, then append similarly located strings in the arrays.
s1 = ["Red" "Blue" "Green"]
s1 = 1x3 string "Red" "Blue" "Green"
s2 = ["Truck" "Sky" "Tree"]
s2 = 1x3 string "Truck" "Sky" "Tree"
s = s1 + s2
s = 1x3 string "RedTruck" "BlueSky" "GreenTree"
Add Two Arrays
Open Live Script
Create two arrays, A
and B
, and add them together.
A = [1 0; 2 4];B = [5 9; 2 1];C = A + B
C = 2×2 6 9 4 5
The elements of A
are added to the corresponding elements of B
.
Add Row and Column Vectors
Open Live Script
Create a 1-by-2 row vector and 3-by-1 column vector and add them.
a = 1:2;b = (1:3)';a + b
ans = 3×2 2 3 3 4 4 5
The result is a 3-by-2 matrix, where each (i,j) element in the matrix is equal to a(j) + b(i)
:
Add Vector to Matrix
Open Live Script
Create an array, A
, and add a column vector to it. The vector is treated as though it is a matrix of the same size as A
, so that each element in the vector is added to a row in A
.
A = [1 2 3; 4 5 6]
A = 2×3 1 2 3 4 5 6
b = [10; 100]
b = 2×1 10 100
A + b
ans = 2×3 11 12 13 104 105 106
Add Tables
Open Live Script
Since R2023a
Create two tables and add them. The row names (if present in both) and variable names must be the same, but do not need to be in the same orders. Rows and variables of the output are in the same orders as the first input.
A = table([1;2],[3;4],VariableNames=["V1","V2"],RowNames=["R1","R2"])
A=2×2 table V1 V2 __ __ R1 1 3 R2 2 4
B = table([4;2],[3;1],VariableNames=["V2","V1"],RowNames=["R2","R1"])
B=2×2 table V2 V1 __ __ R2 4 3 R1 2 1
C = A + B
C=2×2 table V1 V2 __ __ R1 2 5 R2 5 8
Input Arguments
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A
, B
— Operands
scalars | vectors | matrices | multidimensional arrays | tables | timetables
Operands, specified as scalars, vectors, matrices, multidimensional arrays, tables, or timetables. Inputs A
and B
must either be the same size or have sizes that are compatible (for example, A
is an M
-by-N
matrix and B
is a scalar or 1
-by-N
row vector). For more information, see Compatible Array Sizes for Basic Operations.
If one input is a string array, then the other input can be numeric, character, string, or a cell array. In this case,
plus
converts the non-string input into a string array and then appends corresponding elements of the inputs.Operands with an integer data type cannot be complex.
If one input is a
datetime
array,duration
array, orcalendarDuration
array, then numeric values in the other input are treated as a number of 24-hour days.
Inputs that are tables or timetables must meet the following conditions: (since R2023a)
If an input is a table or timetable, then all its variables must have data types that support the operation.
If only one input is a table or timetable, then the other input must be a numeric or logical array.
If both inputs are tables or timetables, then:
Both inputs must have the same size, or one of them must be a one-row table.
Both inputs must have variables with the same names. However, the variables in each input can be in a different order.
If both inputs are tables and they both have row names, then their row names must be the same. However, the row names in each input can be in a different order.
If both inputs are timetables, then their row times must be the same. However, the row times in each input can be in a different order.
Data Types: single
| double
| int8
| int16
| int32
| int64
| uint8
| uint16
| uint32
| uint64
| logical
| char
| string
| datetime
| duration
| calendarDuration
| table
| timetable
Complex Number Support: Yes
Tips
For appending text,
plus
only operates on string arrays. Use the append function to append text in character vectors or cell arrays.
Extended Capabilities
Tall Arrays
Calculate with arrays that have more rows than fit in memory.
This function fully supports tall arrays. Formore information, see Tall Arrays.
C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.
Usage notes and limitations:
If you use
plus
with single type and double type operands, the generated code might not produce the same result as MATLAB®. See Binary Element-Wise Operations with Single and Double Operands (MATLAB Coder).
GPU Code Generation
Generate CUDA® code for NVIDIA® GPUs using GPU Coder™.
HDL Code Generation
Generate VHDL, Verilog and SystemVerilog code for FPGA and ASIC designs using HDL Coder™.
Inputs cannot be data type logical
.
Thread-Based Environment
Run code in the background using MATLAB® backgroundPool
or accelerate code with Parallel Computing Toolbox™ ThreadPool
.
This function fully supports thread-based environments. For more information, see Run MATLAB Functions in Thread-Based Environment.
GPU Arrays
Accelerate code by running on a graphics processing unit (GPU) using Parallel Computing Toolbox™.
Usage notes and limitations:
64-bit integers are not supported.
For more information, see Run MATLAB Functions on a GPU (Parallel Computing Toolbox).
Distributed Arrays
Partition large arrays across the combined memory of your cluster using Parallel Computing Toolbox™.
This function fully supports distributed arrays. For more information, see Run MATLAB Functions with Distributed Arrays (Parallel Computing Toolbox).
Version History
Introduced before R2006a
expand all
R2023a: Perform operations directly on tables and timetables
The plus
operator supports operations directly on tables and timetables without indexing to access their variables. All variables must have data types that support the operation. For more information, see Direct Calculations on Tables and Timetables.
R2020b: Implicit expansion change affects calendarDuration
, datetime
, and duration
arrays
Starting in R2020b, plus
supports implicit expansion when the arguments are calendarDuration
, datetime
, or duration
arrays. Between R2020a and R2016b, implicit expansion was supported only for numeric and string data types.
R2016b: Implicit expansion change affects arguments for operators
Starting in R2016b with the addition of implicit expansion, some combinations of arguments for basic operations that previously returned errors now produce results. For example, you previously could not add a row and a column vector, but those operands are now valid for addition. In other words, an expression like [1 2] + [1; 2]
previously returned a size mismatch error, but now it executes.
If your code uses element-wise operators and relies on the errors that MATLAB previously returned for mismatched sizes, particularly within a try
/catch
block, then your code might no longer catch those errors.
For more information on the required input sizes for basic array operations, see Compatible Array Sizes for Basic Operations.
See Also
minus | sum | cumsum | uplus | append
Topics
- Array vs. Matrix Operations
- Operator Precedence
- Create String Arrays
- MATLAB Operators and Special Characters
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