CSV to MATLAB Array — Free Online MATLAB Code Generator

What Is MATLAB?

MATLAB (Matrix Laboratory) is a programming platform for numerical computing, signal processing, control systems, and data analysis. It is widely used in engineering, physics, finance, and academia.

>> x = [1, 2, 3, 4, 5];

>> mean(x)

ans = 3

MATLAB Array Types

Numeric Matrix

A 2D array of numbers. All elements must be numeric.

A = [1, 2, 3; 4, 5, 6; 7, 8, 9];

% Access

A(1, 2)    % = 2

A(:, 1)    % = [1; 4; 7]

size(A)    % = [3, 3]

Cell Array

A container where each cell can hold any data type. Ideal for mixed-type tabular data from CSV.

C = {'Alice', 30, 'New York'; 'Bob', 25, 'London'; 'Charlie', 35, 'Tokyo'};

% Access with curly braces for content

C{1, 1}    % = 'Alice'

C{2, 3}    % = 'London'

Struct Array

An array of structures with named fields.

S(1).name = 'Alice';

S(1).age = 30;

S(1).city = 'New York';

S(2).name = 'Bob';

S(2).age = 25;

S(2).city = 'London';

Table

A tabular data structure with column names — closest to a spreadsheet.

T = table(...

{'Alice'; 'Bob'; 'Charlie'}, ...

[30; 25; 35], ...

{'New York'; 'London'; 'Tokyo'}, ...

'VariableNames', {'name', 'age', 'city'});

% Access

T.name     % column as array

T{1, 2}    % cell access

T.age > 28 % logical indexing

When to Use Each Type

readmatrix() / readcell() / readtable() vs. This Tool

Using readmatrix() (Runtime — Numeric Data)

A = readmatrix('data.csv');

Using readcell() (Runtime — Mixed Data)

C = readcell('data.csv');

Using readtable() (Runtime — Table with Headers)

T = readtable('data.csv');

Using This Tool (Code Generation)

Why Convert CSV to MATLAB Code?

Core Features

1. Online Table Editor

After loading CSV data, an interactive spreadsheet grid lets you edit before converting:

2. Privacy by Design

All processing runs entirely in your browser. No CSV data is uploaded to any server.

How to Use

Step 1: Load CSV Data

Choose one of two input methods:

• Upload a file: Drag a .csv or .tsv file onto the upload area, or click to browse.

• Paste data: Click "Enter Data" to switch to the code editor. Paste your CSV.

Step 2: Edit in Table Editor (Optional)

Use the toolbar to clean your data before converting.

Step 3: Enable "First Row as Header" (Optional)

Toggle ON if the first row contains column headers.

Step 4: Convert

Click Convert. The MATLAB code appears in the "Output Data" panel.

Step 5: Copy or Download

• Click Copy to Clipboard to paste into your .m file.

• Premium users can click Download File to save.

Complete Example — Sensor Data

Input CSV:

sensor_id,temperature,humidity,pressure

SENS-01,22.5,45.2,1013.25

SENS-02,18.3,62.1,1015.50

SENS-03,25.0,38.7,1012.00

SENS-04,20.1,55.3,1014.75

Output (Cell Array):

data = {

   'SENS-01', 22.5, 45.2, 1013.25;

   'SENS-02', 18.3, 62.1, 1015.50;

   'SENS-03', 25.0, 38.7, 1012.00;

   'SENS-04', 20.1, 55.3, 1014.75;

};

Example — Pure Numeric Data (Matrix)

Input CSV:

1.0,2.0,3.04.0,5.0,6.07.0,8.0,9.0

Output:

data = [1.0, 2.0, 3.0; 4.0, 5.0, 6.0; 7.0, 8.0, 9.0];

Example — Student Grades

Input CSV:

Name,Math,Physics,Chemistry

Alice,92,88,95

Bob,78,82,71

Charlie,95,91,89

Diana,88,76,93

Output:

data = {

   'Alice', 92, 88, 95;

   'Bob', 78, 82, 71;

   'Charlie', 95, 91, 89;

   'Diana', 88, 76, 93;

};

Working with the Generated Array

Common Cell Array Operations

% Access

data{1, 1}          % First cell content

data(1, :)          % First row as cell array

data(:, 2)          % Second column as cell array

% Extract numeric column

temps = [data{:, 2}]    % Vertical concatenation to vector

mean(temps)              % Average temperature

% Filter

idx = cellfun(@(x) x > 20, [data{:, 2}]);

hot_sensors = data(idx, :);

% Convert to matrix (numeric columns only)

numeric_cols = cell2mat(data(:, 2:4));

Convert Cell Array to Table

T = cell2table(data, 'VariableNames', ...

   {'sensor_id', 'temperature', 'humidity', 'pressure'});

Convert to Struct Array

[nrows, ~] = size(data);

for i = 1:nrows

   S(i).sensor_id = data{i, 1};

   S(i).temperature = data{i, 2};

   S(i).humidity = data{i, 3};

   S(i).pressure = data{i, 4};

end

MATLAB Matrix vs Cell Array Syntax

CSV-to-MATLAB Value Mapping

MATLAB Quick Reference for Array Operations

MATLAB in Industry

Frequently Asked Questions

• Does the tool upload my data?

  No. All conversion happens locally in your browser using JavaScript. Your CSV data never leaves your device.

• What MATLAB data type does the tool generate?

  For mixed-type data (strings and numbers), the tool generates a cell array using {} syntax. For pure numeric data, it generates a matrix using [] syntax.

• What is the difference between [] and {} in MATLAB?

  [] creates a matrix (all elements must be numeric). {} creates a cell array (each cell can hold any type). Use matrices for math; use cell arrays for mixed data.

• What is the difference between () and {} for indexing?

  A(i, j) accesses a matrix element by position. C{i, j} accesses a cell's content. C(i, j) returns a cell (not its content).

• Can I use the output in MATLAB Live Scripts?

  Yes. Paste the generated code directly into a MATLAB Live Script (.mlx) code block.

• What is the difference between this tool and readmatrix()?

  readmatrix() reads CSV files at runtime from disk. This tool generates MATLAB source code with hardcoded array literals. Use this for static data, testing, and demos; use readmatrix() for dynamic data.

• What about readtable() and readcell()?

  readtable() imports CSV as a table with named columns. readcell() imports as a cell array. Both require the file at runtime. This tool generates standalone code that works without any file.

• Can I edit the data before converting?

  Yes. The built-in table editor lets you modify cells, transpose, deduplicate, find/replace, change case, and insert/delete rows and columns.

• What CSV formats are supported?

  Standard CSV (.csv) and TSV (.tsv) files with comma or tab delimiters.

• Is there a file size limit?

  The tool processes data entirely in your browser. Files up to 10 MB typically convert without issues on modern hardware.

• Can I use this on mobile?

  Yes. The tool is responsive, though the table editor is best experienced on desktop.