ne,~=
Determine inequality
描述
returns a logical array or a table of logical values with elements set to logicalA
~=B
1
(true
) where inputsA
andB
are not equal; otherwise, the element is logical0
(false
). The test compares both real and imaginary parts of numeric arrays.ne
returns logical1
(true
) whereA
orB
haveNaN
or undefinedcategorical
elements.
Examples
Inequality of Two Vectors
Create two vectors containing both real and imaginary numbers, then compare the vectors for inequality.
A = [1+i 3 2 4+i]; B = [1 3+i 2 4+i]; A ~= B
ans =1x4 logical array1 1 0 0
Thene
function tests both real and imaginary parts for inequality, and returns logical1
(true
) where one or both parts are not equal.
Find Characters
创建一个特征向量。
M ='magenta';
Test for the presence of a specific character using~=
.
M ~='q'
ans =1x7 logical array1 1 1 1 1 1 1
The value of logical1
(true
) indicates the absence of the character'n'
. The character is not present in the vector.
Find Values in Categorical Array
Create a categorical array with two values:'heads'
and'tails'
.
A = categorical({'heads''heads''tails';'tails''heads''tails'})
A =2x3 categoricalheads heads tails tails heads tails
Find all values not in the'heads'
category.
A ~='heads'
ans =2x3 logical array0 0 1 1 0 1
A value of logical1
(true
) indicates a value not in the category. SinceA
only has two categories,A ~= 'heads'
returns the same answer asA == 'tails'
.
Compare the rows ofA
for inequality.
A(1,:) ~= A(2,:)
ans =1x3 logical array1 0 0
A value of logical1
(true
) indicates where the rows have unequal category values.
Compare Floating-Point Numbers
Many numbers expressed in decimal text cannot be represented exactly as binary floating numbers. This leads to small differences in results that the~=
operator reflects.
Perform a few subtraction operations on numbers expressed in decimal and store the result inC
.
C = 0.5-0.4-0.1
C = -2.7756e-17
With exact decimal arithmetic,C
should be equal toexactly0
. Its small value is due to the nature of binary floating-point arithmetic.
CompareC
to0
for inequality.
C ~= 0
ans =logical1
Compare floating-point numbers using a tolerance,tol
, instead of using~=
.
tol = eps(0.5); abs(C-0) > tol
ans =logical0
The two numbers,C
and0
, are closer to one another than two consecutive floating-point numbers near0.5
. In many situations,C
may act like0
.
Inequality of Two Datetime Arrays
Compare the elements of twodatetime
arrays for inequality.
Create twodatetime
arrays in different time zones.
t1 = [2014,04,14,9,0,0;2014,04,14,10,0,0]; A = datetime(t1,'TimeZone','America/Los_Angeles'); A.Format ='d-MMM-y HH:mm:ss Z'
A =2x1 datetime14-Apr-2014 09:00:00 -0700 14-Apr-2014 10:00:00 -0700
t2 = [2014,04,14,12,0,0;2014,04,14,12,30,0]; B = datetime(t2,'TimeZone','America/New_York'); B.Format ='d-MMM-y HH:mm:ss Z'
B =2x1 datetime14-Apr-2014 12:00:00 -0400 14-Apr-2014 12:30:00 -0400
Check where elements inA
andB
are not equal.
A~=B
ans =2x1 logical array0 1
Compare Tables
Since R2023a
Create two tables and compare 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 tableV1 V2 __ __ R1 1 3 R2 2 4
B = table([4;2],[3;1],VariableNames=["V2","V1"],RowNames=["R2","R1"])
B=2×2 tableV2 V1 __ __ R2 4 3 R1 2 1
A ~= B
ans=2×2 tableV1 V2 _____ _____ R1 false true R2 true false
Input Arguments
A
,B
—Operands
scalars|vectors|matrices|multidimensional arrays|tables|timetables
Operands, specified as scalars, vectors, matrices, multidimensional arrays, tables, or timetables. InputsA
andB
must either be the same size or have sizes that are compatible (for example,A
is anM
-by-N
matrix andB
is a scalar or1
-by-N
row vector). For more information, seeCompatible Array Sizes for Basic Operations.
You can compare numeric inputs of any type, and the comparison does not suffer loss of precision due to type conversion.
If one input is a
categorical
array, the other input can be acategorical
array, a cell array of character vectors, or a single character vector. A single character vector expands into a cell array of character vectors of the same size as the other input. If both inputs are ordinalcategorical
arrays, they must have the same sets of categories, including their order. If both inputs arecategorical
arrays that are not ordinal, they can have different sets of categories. SeeCompare Categorical Array Elementsfor more details.If one input is a
datetime
array, the other input can be adatetime
array, a character vector, or a cell array of character vectors.If one input is a
duration
array, the other input can be aduration
array or a numeric array. The operator treats each numeric value as a number of standard 24-hour days.If one input is a string array, the other input can be a string array, a character vector, or a cell array of character vectors. The corresponding elements of
A
andB
are compared lexicographically.
输入的表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
|categorical
|datetime
|duration
|table
|timetable
Complex Number Support:Yes
Extended Capabilities
Tall Arrays
Calculate with arrays that have more rows than fit in memory.
This function fully supports tall arrays. For more information, seeTall Arrays.
C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.
Usage notes and limitations:
Code generation does not support using
ne
to test inequality between an enumeration member and a string array, a character array, or a cell array of character arrays.
GPU Code Generation
Generate CUDA® code for NVIDIA® GPUs using GPU Coder™.
Usage notes and limitations:
Code generation does not support using
ne
to test inequality between an enumeration member and a string array, a character array, or a cell array of character arrays.
HDL Code Generation
生成Verilog FPGA和ASIC d和VHDL代码esigns using HDL Coder™.
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, seeRun MATLAB Functions in Thread-Based Environment.
GPU Arrays
Accelerate code by running on a graphics processing unit (GPU) using Parallel Computing Toolbox™.
This function fully supports GPU arrays. For more information, seeRun 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, seeRun MATLAB Functions with Distributed Arrays(Parallel Computing Toolbox).
Version History
Introduced before R2006aR2023a:Perform operations directly on tables and timetables
Thene
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, seeDirect Calculations on Tables and Timetables.
R2020b:Implicit expansion change affectscategorical
,datetime
, andduration
arrays
Starting in R2020b,ne
supports implicit expansion when the arguments arecategorical
,datetime
, orduration
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 atry
/catch
block, then your code might no longer catch those errors.
For more information on the required input sizes for basic array operations, seeCompatible Array Sizes for Basic Operations.
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