isnumeric

Determine whether input is numeric array

Syntax

TF = isnumeric(A)

Description

TF = isnumeric(A) returns logical 1 (true) if A is an array of numeric data type. Otherwise, it returns logical 0 (false).

Numeric types in MATLAB^® include: int8, int16, int32, int64, uint8, uint16, uint32, uint64, single, and double. For more information, see Integer Classes and Floating-Point Numbers.

Examples

Determine Whether Number Is Numeric Type

Determine if a real number is a numeric type.

TF = isnumeric(2)

TF = logical
   1

MATLAB® stores numeric data as a double-precision format by default, which is a numeric type.

Now create a signed 16-bit integer type using int16. Check if it is a numeric type.

TF = isnumeric(int16(-256))

TF = logical
   1

Determine Whether Infinity and NaN Are Numeric Type

Determine if an array containing infinity or not-a-number values is a numeric type.

Create several calculations that return Inf and assign the results to an array. Check if the array is a numeric type.

A = [1/0 log(0) 1e1000]

A = 1×3

   Inf  -Inf   Inf

TF = isnumeric(A)

TF = logical
   1

MATLAB represents infinity by the special value Inf as a double type.

Create several calculations that return NaN and assign the results to an array. Check if the array is a numeric type.

A = [0/0 -Inf/Inf]

A = 1×2

   NaN   NaN

TF = isnumeric(A)

TF = logical
   1

MATLAB represents not-a-number by the special value NaN, as a double type.

Determine Whether Arrays Are Numeric Type

Determine if an array containing floating-point numbers is a numeric type.

A = [-3.5e2 2.5; single(3) pi]

A = 2×2 single matrix

 -350.0000    2.5000
    3.0000    3.1416

TF = isnumeric(A)

TF = logical
   1

Now create a cell array that contains the array A and other numbers. Use class to identify the type of the cell array. Check if it is a numeric type.

B = {A -4; 2 1}

B=2×2 cell array
    {2×2 single}    {[-4]}
    {[       2]}    {[ 1]}

type = class(B)

type = 
'cell'

TF = isnumeric(B)

TF = logical
   0

The cell array is not a numeric type since it is a cell type.

Input Arguments

A — Input array

scalar | vector | matrix | multidimensional array

Input array, specified as a scalar, vector, matrix, or multidimensional array. MATLAB has the following numeric types.

Integer Type	Description
single	single-precision floating-point
double	double-precision floating-point
int8	8-bit signed integer
int16	16-bit signed integer
int64	64-bit signed integer
int32	32-bit signed integer
uint8	8-bit unsigned integer
uint16	16-bit unsigned integer
uint32	32-bit unsigned integer
uint64	64-bit unsigned integer

Extended Capabilities

C/C++ Code Generation
Generate C and C++ code using 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™.

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™.

The isnumeric function fully supports GPU arrays. To run the function on a GPU, specify the input data as a gpuArray (Parallel Computing Toolbox). 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