width
Number of table variables
Syntax
Description
Examples
Number of Variables in Table
Create a table, T
.
LastName = {'Smith';'Johnson';'Williams';'Jones';'Brown'}; Age = [38;43;38;40;49]; Height = [71;69;64;67;64]; Weight = [176;163;131;133;119]; BloodPressure = [124 93; 109 77; 125 83; 117 75; 122 80]; T = table(Age,Height,Weight,BloodPressure,'RowNames',LastName)
T=5×4 table
Age Height Weight BloodPressure
___ ______ ______ _____________
Smith 38 71 176 124 93
Johnson 43 69 163 109 77
Williams 38 64 131 125 83
Jones 40 67 133 117 75
Brown 49 64 119 122 80
Find the number of variables in table T
.
W = width(T)
W = 4
T
contains 4
variables; width
does not count the row names.
The variable BloodPressure
counts as one variable even though it contains two columns.
Input Arguments
T
— Input table or array
table | array
Input table or array.
Variables in a table can have multiple columns, but
width(T)
only counts the number of variables.
Extended Capabilities
Tall Arrays
Calculate with arrays that have more rows than fit in memory.
The
width
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).
Starting in R2021b, the input can be an array, a table, or a timetable. In releases R2019b to R2021a, only tables and timetables are supported.
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 width
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 in R2013bR2020b: width
returns the number of columns of an array
The width
function returns the number of variables of a table
or timetable, or the number of columns of an input array having any other data type.
In previous releases, calling width
resulted in an error if the
input was not a table or timetable.
MATLAB Command
You clicked a link that corresponds to this MATLAB command:
Run the command by entering it in the MATLAB Command Window. Web browsers do not support MATLAB commands.
Select a Web Site
Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .
You can also select a web site from the following list
How to Get Best Site Performance
Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.
Americas
- América Latina (Español)
- Canada (English)
- United States (English)
Europe
- Belgium (English)
- Denmark (English)
- Deutschland (Deutsch)
- España (Español)
- Finland (English)
- France (Français)
- Ireland (English)
- Italia (Italiano)
- Luxembourg (English)
- Netherlands (English)
- Norway (English)
- Österreich (Deutsch)
- Portugal (English)
- Sweden (English)
- Switzerland
- United Kingdom (English)
Asia Pacific
- Australia (English)
- India (English)
- New Zealand (English)
- 中国
- 日本Japanese (日本語)
- 한국Korean (한국어)