array2table — Convert an array into a table.
array2table(A) splits two-dimensional arrays into table variables by column.
Syntax
B = tabularBuiltin(A, ...)Inputs
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
A | Any | Yes | — | Input value. |
args | Any | Variadic | — | Name-value options or conversion arguments. |
Returns
| Name | Type | Description |
|---|---|---|
out | Any | Result value. |
Errors
| Identifier | When | Message |
|---|---|---|
RunMat:table:InvalidArgument | Arguments or table metadata are invalid. | table: invalid argument |
RunMat:table:InvalidIndex | Table indexing is invalid. | table: invalid index |
RunMat:table:InvalidVariable | A table variable name or value is invalid. | table: invalid variable |
RunMat:readtable:IOError | readtable cannot open or read the requested file. | readtable: file read failed |
RunMat:readtable:UnsupportedFileType | readtable receives a file type outside the text or spreadsheet import backends. | readtable: unsupported file type |
How array2table works
- Numeric, complex, logical, string, and cell arrays are split column-wise.
"VariableNames"and"RowNames"are supported.
Example
Create named variables
T = array2table([1 3; 2 4], 'VariableNames', {'A','B'})Expected output:
T = 2x2 tableUsing array2table with coding agents
Open a RunMat example with live inputs, then ask the agent to explain how array2table changes the result.
Run a small array2table example, explain the result, then change one input and compare the output.
Related Table functions
array2timetable · categorical · cell2table · dictionary · head · iscategorical · isordinal · istable · istimetable · ordinal · pivot · rowfilter · struct2table · table2array · table2cell · table2struct · table2timetable · timerange · timetable · timetable2table · uitable · vartype
Open-source implementation
Unlike proprietary runtimes, every RunMat function is open-source. Read exactly how array2table is executed, line by line, in Rust.
- View the source for array2table in Rust on GitHub
- Learn how the RunMat runtime works
- Found a bug? Open an issue with a minimal reproduction.
About RunMat
RunMat is an open-source runtime that executes MATLAB-syntax code blazing on any GPU. It is licensed under the Apache 2.0 license.
- RunMat automatically optimizes your math for GPU execution on Apple, Nvidia, and AMD hardware. No code changes needed. Simulations that took hours now take minutes.
- Start running code in seconds. RunMat runs in the browser, on the desktop, or from the CLI. No license server, no IT ticket.