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Matlab Call Python

matlab/matlab-call-python

> Call Python libraries from MATLAB using the py. interface, pyrun, pyrunfile, or pyenv. Use when writing or executing MATLAB code that calls Python functions or passes data between MATLAB and Python. REQUIRED when triaging Python errors from MATLAB (ModuleNotFoundError, ImportError, "Unable to resolve the name 'py.*'"). REQUIRED when setting up Python environments for MATLAB, creating virtual environments, or installing Python packages for use with MATLAB.

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Install

one command, takes just this skill from the repository
npx skills add https://github.com/matlab/matlab-agentic-toolkit --skill matlab-call-python

The instruction itself

22 sections, as written by the author

Call Python from MATLAB

Call Python libraries from MATLAB using modern APIs, correct environment setup,

and structured error recovery.

When to Use

  • Writing MATLAB code that calls Python via py.*, pyrun, or pyrunfile
  • MATLAB code fails with ModuleNotFoundError, Python is not configured, or

other Python-related errors

  • User asks to set up Python for MATLAB or create a virtual environment
  • User asks to install a Python package for use in MATLAB

When NOT to Use

  • Calling MATLAB from Python (MATLAB Engine API for Python — different direction)
  • Building MEX files or Python C extensions
  • Pure Python development with no MATLAB involvement
  • MATLAB Compiler or MATLAB Production Server deployment

Rules

NEVER use pyargs

Use MATLAB name=value syntax for Python keyword arguments. pyargs is outdated

(name=value available since R2021a).

% TEMPLATE — not executable (requires scikit-learn)
rfc = py.sklearn.ensemble.RandomForestClassifier(n_estimators=int32(100), random_state=int32(42));

NEVER use pyversion

pyversion is not recommended. Use pyenv, which supports terminate, ExecutionMode,

and environment switching.

ALWAYS use the Bash tool for pip installs and venv creation

Do not use MATLAB system(). The Bash tool provides streaming output and avoids

complex string escaping.

ALWAYS follow recovery procedure before any pip install or venv creation

BEFORE running pip install or creating virtual environments, follow

references/environment-setup.md. Do NOT infer Python paths from error

tracebacks — those paths show importlib internals, not the correct install

target.

ALWAYS ask user confirmation before calling terminate(pyenv)

terminate(pyenv) restarts the Python process and clears all Python state

(imported modules, variables, open connections). Always inform the user what

will be lost and get explicit consent before calling terminate.

ALWAYS wrap with integer types when Python expects int

MATLAB passes double by default. Python functions expecting int receive float,

causing TypeError. Use int32() for counts, indices, and size arguments. If the

value won't fit in 32 bits, use int64() or uint64() to prevent overflow.

ALWAYS use pystringarray for string arrays (R2026a or later)

When passing MATLAB string arrays to Python in R2026a or later, use

pystringarray. Requires NumPy 2.0 or later. In R2025b and earlier, or when

NumPy < 2.0, use py.list(cellstr(...)).

% R2026a and later:
names = ["Alice", "Bob", "Charlie"];
pyNames = pystringarray(names);

% R2025b and earlier:
names = ["Alice", "Bob", "Charlie"];
pyNames = py.list(cellstr(names));

Workflow

When calling Python from MATLAB, follow this workflow.

1. Write the Python code using modern syntax

result = py.module.function(arg1, arg2, kwarg1="value", kwarg2=42);

Prefer py.module.function(...) for direct function calls — it's readable,

integrates with the MATLAB workspace, and supports tab completion. Reserve

pyrun for multi-statement scripts where variables and imports persist in

Python memory across calls (REPL-like execution). Reserve pyrunfile for

running a standalone .py file (equivalent to running from the command line;

no state carries over).

2. Run the code

Execute via mcp__matlab__evaluate_matlab_code (for inline code) or

mcp__matlab__run_matlab_file (for script files).

3. If it succeeds — done

4. If it fails with a Python error — triage

Follow references/environment-setup.md ONLY for environment-related errors:

  • ModuleNotFoundError
  • MATLAB error about unresolved py.* name (e.g., "Unable to resolve the name

'py.numpy'")

  • pyenv().Executable is empty
  • py or pyenv calls error stating environment is not supported
  • Any other error suggesting a missing library or unconfigured environment

For all other Python errors (ValueError, TypeError, logic errors in the Python

code itself) — debug the code directly. These are code bugs, not environment

issues.

Key Functions

| Function | Purpose | Available From |

|----------|---------|----------------|

| pyenv | Query/configure Python environment | R2019b |

| pyrun | Execute Python statements; variables persist across calls | R2021b |

| pyrunfile | Execute a standalone .py file | R2021b |

| pystringarray | Pass MATLAB string array to Python | R2026a |

InProcess vs OutOfProcess

  • OutOfProcess: Launches Python in a separate process. Mitigates third-party

library conflicts between MATLAB and Python, therefore works with most Python

packages without conflict. terminate(pyenv) restarts Python without restarting

MATLAB. Can switch environments freely.

  • InProcess: (default) Launches Python within the same MATLAB process. PREFER

for better performance. Cannot terminate. If Python is already loaded in

InProcess mode, the user must restart MATLAB entirely to change Python

configuration.

In ExecutionMode="OutOfProcess", when working on a custom Python module and you

need to make changes after loading the module, or when you install packages

mid-session, ALWAYS call terminate(pyenv) before calling the module again.

In ExecutionMode="InProcess", when working on a custom Python module and you

need to make changes after loading the module, ALWAYS reload the module by running:

clear all;
clear classes;
mod = py.importlib.import_module("<module_name>");
py.importlib.reload(mod);

Patterns

Calling a Python function with keyword arguments

rfc = py.sklearn.ensemble.RandomForestClassifier(n_estimators=int32(100), random_state=int32(42));
rfc.fit(XTrain, yTrain);
predictions = double(rfc.predict(XTest));

Configuring MATLAB to use a virtual environment

After creating a virtual environment (venv) using the Bash tool, point MATLAB at it:

% Terminate current Python if loaded
terminate(pyenv);

% Point at venv executable
pyenv(Version="/path/to/.venv/Scripts/python.exe");

% Verify
disp(pyenv().Executable);
py.numpy.array([1, 2, 3]);

Conventions

  • When a keyword argument name conflicts with a MATLAB variable, append Val

(e.g., py.complex(imag=imagVal) not py.complex(imag=imag))

  • AVOID "activating" a virtual environment — MATLAB doesn't use activation

scripts. Point pyenv(Version=...) at the venv executable directly.

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Copyright 2026 The MathWorks, Inc.

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How to use it

Copy the folder

Take matlab/matlab-call-python from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference pip. Without those the skill loads but fails at the first command.