How To Create A Matlab Function
Easily integrate Custom Functions in MATLAB with Python
MATLAB professional level functions in Python scripts
MATLAB implementation is usually quite reliable as it is developed by professionals. But the advantages of using Python are immense. In this post, I will show how you can integrate your custom MATLAB function into your Python script.
Defining a custom function in MATLAB
Let us make a custom function in MATLAB that we can use in Python. For demonstration, I will use an elementary function, but the same idea applies to any function.
Eigenvalues and eigenvectors in MATLAB
function [V,D] = eigFunc(A)
%returns diagonal matrix D of eigenvalues and matrix V
% whose columns are the corresponding right eigenvectors,
% so that A*V = V*D.
[V, D] = eig(A);
end I saved the above function as ei g Func. This function takes in a square matrix as input and outputs diagonal matrix D of eigenvalues and matrix V whose columns are the corresponding right eigenvectors [ see eig function in MATLAB].
Let's first use this function in MATLAB for test purpose.
clear; close all; clc
A = gallery('lehmer',4);[V,D] = eigFunc(A)
This returns:
V = 0.0693 -0.4422 -0.8105 0.3778
-0.3618 0.7420 -0.1877 0.5322
0.7694 0.0486 0.3010 0.5614
-0.5219 -0.5014 0.4662 0.5088
D =
0.2078 0 0 0
0 0.4078 0 0
0 0 0.8482 0
0 0 0 2.5362
This function works excellent in MATLAB as expected (because the function is an exact copy of the eig function in MATLAB. But how can we use this function in Python?
Call MATLAB in Python
Using MATLAB Engine API for Python
The easiest way to use the matlab function in Python is by using the matlab.engine. You can install matlab library by following these two ways.
Install from inside MATLAB:
cd (fullfile(matlabroot,'extern','engines','python'))
system('python setup.py install') Install directly from the terminal:
Navigate to the MATLAB source location and compile the python
python setup.py install Please note that this MATLAB engine API will be installed for the specific version of python. If you are using anaconda, you can inspect the version of Python you are installing the MATLAB engine API for. It is essentially the same way you install other Python libraries. For details, visit here.
import matlab
import matlab.engine
eng = matlab.engine.start_matlab()
A = [[1.0000, 0.5000, 0.3333, 0.2500],
[0.5000, 1.0000, 0.6667, 0.5000],
[0.3333, 0.6667, 1.0000, 0.7500],
[0.2500, 0.5000, 0.7500, 1.0000]]
A = matlab.double(A)
V, D = eng.eigFunc(A, nargout=2)
print("V: ", V)
print("D: ", D)eng.quit()
Here is the output:
V: [[0.06939950784450351,-0.4421928183150595,-0.8104910184495989,0.37782737957175255], [-0.3619020163563876,0.7419860358173743,-0.18770341448628555,0.5322133795757004],[0.7693553355549393,0.04873539080548356,0.30097912769034274,0.5613633351323756],[-0.5218266058004974,-0.5015447096377744,0.4661365700065611,0.5087893432606572]]D: [[0.20775336892808516,0.0,0.0,0.0],[0.0,0.40783672775946245,0.0,0.0],[0.0,0.0,0.8482416513967358,0.0],[0.0,0.0,0.0,2.536168251915717]]
The results are the same as before. The nargout argument tells the matlab based function to output 2 results here.
Create Python Package: Using MATLAB Compiler & MATLAB Runtime
This is all well and good if you have MATLAB installed in your system. But what if you want to give your Python script to someone who does not have MATLAB installed on their system. In that case, you can build a Python library using the library compiler app in MATLAB. For details, visit Generate a Python Package and Build a Python Application.
package to generate standalone component (b) Wait for the task to finish (Image by author)MATLAB Runtime installation
Please note that the user needs to install MATLAB runtime to successfully using this library. MATLAB runtime helps in running compiled MATLAB applications or components without installing MATLAB. The runtime can be downloaded from here for Windows, Mac, and Linux OS, and it is free to download.
Import MATLAB based library for Python
import eigFunc
eigFuncAnalyzer = eigFunc.initialize() #calls the matlab runtime
A = [[1.0000, 0.5000, 0.3333, 0.2500],
[0.5000, 1.0000, 0.6667, 0.5000],
[0.3333, 0.6667, 1.0000, 0.7500],
[0.2500, 0.5000, 0.7500, 1.0000]]
A = array.array(A) %not tested
V, D = eigFuncAnalyzer.eigFunc(A, nargout=2)
print("V: ", V)
print("D: ", D)
eigFuncAnalyzer.terminate() Please note that you can design your eigFunc.m in a way that you can simply load the mat data and you can use scipy.io.savemat function to save the python data to mat format. For details, see the scipy documentation.
Data Type Conversions
References
- How to Call MATLAB from Python
- Call MATLAB Functions from Python
- Generate a Python Package and Build a Python Application
How To Create A Matlab Function
Source: https://towardsdatascience.com/matlab-function-in-python-739c473c8176
Posted by: robinsonsciespoins.blogspot.com

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