Using MATLAB and Python Together - MathWorks
Using MATLAB? and Python? Together
The icon provides links to relevant sections of the MATLAB documentation to learn more.
Call Python in MATLAB
Access settings and status of Python interpreter: >> pe = pyenv
Specify version to use: >> pe = pyenv("Version",'3.7')
Call Python modules and functions: py.module _ name.function _ name
>> py.math.sqrt(42)
Pass keyword arguments Use pyargs to pass keyword arguments >>> foo(5,bar=42) >> py.foo(5,pyargs('bar',42))
Reload modules Reload the module after making updates: >> py.importlib.reload(module)
Call MATLAB in Python
Install MATLAB Engine API for Python Run setup.py from an OS command window $ cd [matlabroot]/extern/engines/ python $ python setup.py install
Call MATLAB functions Import the module and start the engine >>> import matlab.engine >>> eng =
matlab.engine.start _ matlab()
Call functions through the engine >>> x = eng.sqrt(42.0)
Capture multiple outputs >>> x = eng.gcd(42.0,8.0,nargout=3)
Stop the engine >>> eng.exit()
Create Python Package
Package MATLAB functions Use the Library Compiler App to create a Python package for MATLAB functions
Invoke MATLAB functions from the Python package >>> import PackageName >>> pkg = PackageName.initialize() >>> result = pkg.foo() Close package >>> pkg.terminate()
Data Type Conversions
Data types will be automatically converted where possible.
Some MATLAB data types need to be converted.
MATLAB double, single complex single complex double (u)int8, (u)int16, (u)int32,(u)int64 NaN Inf String, char Logical Structure Vectors Cell array
Python float complex
int
float(nan) float(inf) str bool dict array.array() list, tuple
MATLAB
Conversion Function
categorical string table timetable datetime
char char table2struct timetable2struct char
Note: The default numeric type is integer in Python and double in MATLAB when typing 42
To create a float in Python: >>> x = 42.0 >>> x = float(42)
Create integer from MATLAB: >> x = int32(42)
Data Science Libraries
Apache Parquet
Use Apache Parquet to efficiently transfer tabular data From MATLAB: >> tbl = parquetread(fname) >> parquetwrite(tbl,fname)
From Python: >>> df = pandas.read _ parquet(fname) >>> pandas.Dataframe.to _ parquet(df)
Deep Learning Access frameworks in MATLAB with importers for TensorFlow-Keras, ONNX, etc. >> net = importKerasNetwork(model)
? 2022 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.
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