iscellstr

Determine if input is cell array of character vectors

Syntax

tf = iscellstr(A)

Description

tf = iscellstr(A) returns logical 1 (true) if A is a cell array of character vectors (or an empty cell array), and logical 0 (false) otherwise. A cell array of character vectors is a cell array where every cell contains a character vector.

Examples

Determine If Array Is Cell Array of Character Vectors

Create different arrays, and then determine if they are cell arrays of character vectors.

Test a cell array of character vectors.

C1 = {'Smith','Chung','Morales'; ...
      'Sanchez','Peterson','Adams'}

C1 = 2×3 cell
    {'Smith'  }    {'Chung'   }    {'Morales'}
    {'Sanchez'}    {'Peterson'}    {'Adams'  }

tf = iscellstr(C1)

tf = logical
   1

Every cell of C1 contains a character vector, so iscellstr returns 1.

Convert C1 to a string array and test it.

str = string(C1)

str = 2×3 string
    "Smith"      "Chung"       "Morales"
    "Sanchez"    "Peterson"    "Adams"  

tf = iscellstr(str)

tf = logical
   0

str is a string array, not a cell array, so iscellstr returns 0.

Test a cell array that contains elements of different data types.

X = rand(1,3);
C2 = {'red','blue',X}

C2=1×3 cell array
    {'red'}    {'blue'}    {[0.8147 0.9058 0.1270]}

tf = iscellstr(C2)

tf = logical
   0

C2 has a cell that does not contain a character vector, so iscellstr returns 0.

Input Arguments

A — Input array

scalar | vector | matrix | multidimensional array

Input array, specified as a scalar, vector, matrix, or multidimensional array. A can be any data type.

Extended Capabilities

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

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