table2cell

Convert table to cell array

Syntax

C = table2cell(T)

Description

C = table2cell(T) converts the table, T, to a cell array, C. Each variable in T becomes a column of cells in C.

Examples

Convert Table to Cell Array

Create a table, T, with five rows and three variables.

T = table(categorical(["Y";"Y";"N";"N";"N"]),[38;43;38;40;49],...
    [124 93;109 77; 125 83; 117 75; 122 80],...
    'VariableNames',["Smoker" "Age" "BloodPressure"],...
    'RowNames',["Chang" "Brown" "Ruiz" "Lee" "Garcia"])

T=5×3 table
              Smoker    Age    BloodPressure
              ______    ___    _____________

    Chang       Y       38      124     93  
    Brown       Y       43      109     77  
    Ruiz        N       38      125     83  
    Lee         N       40      117     75  
    Garcia      N       49      122     80  

Convert T to a cell array.

C = table2cell(T)

C=5×3 cell array
    {[Y]}    {[38]}    {[124 93]}
    {[Y]}    {[43]}    {[109 77]}
    {[N]}    {[38]}    {[125 83]}
    {[N]}    {[40]}    {[117 75]}
    {[N]}    {[49]}    {[122 80]}

C is a 5-by-3 cell array.

Vertically concatenate the table property, T.Properties.VariableNames, with C to include column headings for the cell array.

[T.Properties.VariableNames;C]

ans=6×3 cell array
    {'Smoker'}    {'Age'}    {'BloodPressure'}
    {[Y     ]}    {[ 38]}    {[       124 93]}
    {[Y     ]}    {[ 43]}    {[       109 77]}
    {[N     ]}    {[ 38]}    {[       125 83]}
    {[N     ]}    {[ 40]}    {[       117 75]}
    {[N     ]}    {[ 49]}    {[       122 80]}

T.Properties.VariableNames stores the variable names as a cell array of character vectors, even when the names were previously assigned from a string array.

Input Arguments

T — Input table

table

Input table, specified as a table.

If T is an m-byn table, then C is an m-by-n cell array.

Extended Capabilities

Tall Arrays

Calculate with arrays that have more rows than fit in memory.

This function fully supports tall arrays. For more information, see Tall Arrays.

C/C++ Code Generation

Generate C and C++ code using MATLAB® Coder™.

This function fully supports code generation. For more information, see Code Generation for Tables (MATLAB Coder).

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 in R2013b