isequaln

Determine array equality, treating NaN values as equal

Syntax

tf = isequaln(A,B)

tf = isequaln(A1,A2,...,An)

Description

tf = isequaln(A,B) returns logical 1 (true) if A and B are equivalent; otherwise, it returns logical 0 (false). See the Input Arguments section for a definition of equivalence for each data type. NaN (Not a Number), NaT (Not a Time), undefined categorical elements, and <missing> values are considered to be equal to other such values.

To treat NaN, NaT, <undefined>, and <missing> values as unequal to other such values, use isequal.

tf = isequaln(A1,A2,...,An) returns logical 1 (true) if all the inputs are equivalent.

Examples

Compare Two Numeric Matrices

Create two numeric matrices and compare them for equality.

A = zeros(3,3)+1e-20;
B = zeros(3,3);
tf = isequaln(A,B)

tf = logical
   0

The function returns logical 0 (false) because the matrices differ by a very small amount and are not exactly equal.

Compare Two Structures

Create two structures and specify the fields in a different order.

A = struct('field1',0.005,'field2',2500);
B = struct('field2',2500,'field1',0.005);

Compare the structures for equality.

tf = isequaln(A,B)

tf = logical
   1

Even though the ordering of the fields in each structure is different, isequaln treats them as the same because the values are equal.

Comparing Numeric Values with Special Nonnumeric Values

Compare the logical value true to the double integer 1.

isequaln(true,1)

ans = logical
   1

Notice that isequaln does not consider data type when it tests for equality.

Similarly, compare 'A' to the ASCII-equivalent integer, 65.

isequaln('A',65)

ans = logical
   1

The result is logical 1 (true) since double('A') equals 65.

Compare Vectors Containing NaN Values

Create three vectors containing NaN values.

A1 = [1 NaN NaN];
A2 = [1 NaN NaN];
A3 = [1 NaN NaN];

Compare the vectors for equality.

tf = isequaln(A1,A2,A3)

tf = logical
   1

The result is logical 1 (true) because isequaln treats the NaN values as equal to each other.

Compare Character Vector to String Scalar

Even though the sizes and data types are different, isequaln returns logical 1 (true) when comparing a character vector and string scalar that contain the same sequence of characters.

isequaln("foo",'foo')

ans = logical
   1

Input Arguments

A,B — Inputs to be compared (as separate arguments)

arrays

Inputs to be compared, specified as arrays.

In some cases, the types of the inputs do not have to match:

• Numeric inputs are equivalent if they are the same size and their contents are of equal value. The test compares both real and imaginary parts of numeric arrays.

• Tables, timetables, structures, and cell arrays are equivalent only when all elements and properties are equal.

• String scalars and character vectors containing the same sequence of characters are equivalent.

Some data type comparisons have special considerations involving metadata. If the inputs are all:

• Structures — Fields need not be in the same order as long as the contents are equal.

• Ordinal categorical arrays — Must have the same sets of categories, including their order.

• Categorical arrays that are not ordinal — Can have different sets of categories, and isequaln compares the category names of each pair of elements.

• Datetime arrays — isequaln ignores display format when it compares points in time. If the arrays are all associated with time zones, then isequaln compares the instants in time rather than the clockface times (for example, 01-May-2018 09:00:00 EDT is the same instant as 01-May-2018 06:00:00 PDT, so isequaln returns true even though the clockface times of 9:00 and 6:00 differ).

• Objects — isequaln returns logical 1 (true) for objects of the same class with equal property values.

A1,A2,...,An — Series of inputs to be compared (as separate arguments)

arrays

Series of inputs to be compared, specified as arrays.

In some cases, the types of the inputs do not have to match:

• Numeric inputs are equivalent if they are the same size and their contents are of equal value. The test compares both real and imaginary parts of numeric arrays.

• Tables, timetables, structures, and cell arrays are equivalent only when all elements and properties are equal.

• String scalars and character vectors containing the same sequence of characters are equivalent.

Some data type comparisons have special considerations involving metadata. If the inputs are all:

• Structures — Fields need not be in the same order as long as the contents are equal.

• Ordinal categorical arrays — Must have the same sets of categories, including their order.

• Categorical arrays that are not ordinal — Can have different sets of categories, and isequaln compares the category names of each pair of elements.

• Datetime arrays — isequaln ignores display format when it compares points in time. If the arrays are all associated with time zones, then isequaln compares the instants in time rather than the clockface times (for example, 01-May-2018 09:00:00 EDT is the same instant as 01-May-2018 06:00:00 PDT, so isequaln returns true even though the clockface times of 9:00 and 6:00 differ).

• Objects — isequaln returns logical 1 (true) for objects of the same class with equal property values.

Tips

• The equality of two function handles depends on how they are constructed. For more information, see Compare Function Handles.

• isequaln returns logical 0 (false) for two objects with dynamic properties, even if the properties have the same names and values.

• isequaln compares only stored (non-dependent) properties when testing two objects for equality.

• When comparing two handle objects, use == to test whether objects have the same handle. Use isequaln to determine if two objects with different handles have equal property values.

Extended Capabilities

C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.

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, 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).