I am creating an app in MATLAB Web App Server 2024a. Accessing the system’s clipboard using the clipboard function is not supported, as described in the unsupported functionality page. I am looking for an alternative so that users can paste the contents of their clipboard into a UITable.
Interestingly, despite the lack of support for the clipboard function, users are still able to paste text from their clipboard using the key combination to paste if they double click a cell in the table first so that there’s a flashing cursor. This leads me to believe that Web App Server is able to access the system clipboard, although I can’t seem to figure out how to do so (ie. if there’s a different function to call). Is there a way for me to access the user’s clipboard in Web App Server without the clipboard function? As it stands, users can only paste if they’ve double-clicked a cell in the table. A single click won’t do, and I’d like to add functionality to enable that.
Any insights are appreciated. Thank you!I am creating an app in MATLAB Web App Server 2024a. Accessing the system’s clipboard using the clipboard function is not supported, as described in the unsupported functionality page. I am looking for an alternative so that users can paste the contents of their clipboard into a UITable.
Interestingly, despite the lack of support for the clipboard function, users are still able to paste text from their clipboard using the key combination to paste if they double click a cell in the table first so that there’s a flashing cursor. This leads me to believe that Web App Server is able to access the system clipboard, although I can’t seem to figure out how to do so (ie. if there’s a different function to call). Is there a way for me to access the user’s clipboard in Web App Server without the clipboard function? As it stands, users can only paste if they’ve double-clicked a cell in the table. A single click won’t do, and I’d like to add functionality to enable that.
Any insights are appreciated. Thank you! I am creating an app in MATLAB Web App Server 2024a. Accessing the system’s clipboard using the clipboard function is not supported, as described in the unsupported functionality page. I am looking for an alternative so that users can paste the contents of their clipboard into a UITable.
Interestingly, despite the lack of support for the clipboard function, users are still able to paste text from their clipboard using the key combination to paste if they double click a cell in the table first so that there’s a flashing cursor. This leads me to believe that Web App Server is able to access the system clipboard, although I can’t seem to figure out how to do so (ie. if there’s a different function to call). Is there a way for me to access the user’s clipboard in Web App Server without the clipboard function? As it stands, users can only paste if they’ve double-clicked a cell in the table. A single click won’t do, and I’d like to add functionality to enable that.
Any insights are appreciated. Thank you! matlab, appdesigner, web app server, clipboard, uitable MATLAB Answers — New Questions

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Hi
I have a pso code, but i have a little problem. Here is a code
clc;
clear;
close all;

%% Problem Definition

CostFunction = @(x) Sphere(x); % Cost Function

nVar = 5; % Number of Unknown (Deceision) Variables

VarSize = [1 nVar]; % Matrix Size of Decision Variables

VarMin = -10; % Lower bound of Decesion Variable
VarMax = 10; % Upper bound of Decesion Variable

%% Parameters of PSO

MaxIt = 100; % Maximum Number of Iterations

nPop = 50; % Population Size (Swarm Size)
wdamp = 0.99; % Damping Ratio of Inertia Coefficient
w = 1; % Inertia Coefficient
c1 = 2; % Personal Acceleration Coefficient
c2 = 2; % Social Acceleration Coefficient

%% Initialization

% The Particle Template
empty_particle.Position = [];
empty_particle.Velocity = [];
empty_particle.Cost = [];
empty_particle.Best.Position = [];
empty_particle.Best.Cost = [];

% Create Population Array
particle = repmat(empty_particle, nPop, 1);

% Initialize Global Best
GlobalBest.Cost = inf;

% Initialize Population Members
for i=1:nPop

% Generate Random Solution
particle(i).Position = unifrnd(VarMin, VarMax, VarSize);

% Initialize Velocity
particle(i).Velocity = zeros(VarSize);

% Evaluation
particle(i).Cost = CostFunction(particle(i).Position);

% Update the Personal Best
particle(i).Best.Position = particle(i).Position;
particle(i).Best.Cost = particle(i).Cost;

% Update Global Best
if particle(i).Best.Cost < GlobalBest.Cost
GlobalBest = particle(i).Best;
end

end
%
% Array to Hold Best Cost Value on Each Iteration
BestCosts = zeros(MaxIt, 1);

%% Main Loop of PSO

for it=1:MaxIt

for i=1:nPop

% Update Velocity
particle(i).Velocity = w*particle(i).Velocity …
+ c1*rand(VarSize).*(particle(i).Best.Position – particle(i).Position) …
+ c2*rand(VarSize).*(GlobalBest.Position – particle(i).Position);

% Update Position
particle(i).Postion = particle(i).Position + particle(i).Velocity;

% Evaluation
particle(i).Cost = CostFunction(particle(i).Position);

% Update Personal Best
if particle(i).Cost < particle(i).Best.Cost

particle(i).Best.Position = particle(i).Position;
particle(i).Best.Cost = particle(i).Cost;

% Update Global Best
if particle(i).Best.Cost < GlobalBest.Cost
GlobalBest = particle(i).Best;
end

end

end

% Store the Best Cost Value
BestCosts(it) = GlobalBest.Cost;

% Display Iteration Information
disp([‘Iteration ‘ num2str(it) ‘: Best Cost = ‘ num2str(BestCosts(it))]);

% Damping Interia Coefficient
w = w * wdamp;
end

figure;
plot(BestCosts, ‘LineWidth’, 2);

xlabel(‘Iteration’);
ylabel(‘Best Cost’);
grid on;
Value of BestCosts is alwyas the same, but shouldnt. I dont know how to fix it. Please help me.Hi
I have a pso code, but i have a little problem. Here is a code
clc;
clear;
close all;

%% Problem Definition

CostFunction = @(x) Sphere(x); % Cost Function

nVar = 5; % Number of Unknown (Deceision) Variables

VarSize = [1 nVar]; % Matrix Size of Decision Variables

VarMin = -10; % Lower bound of Decesion Variable
VarMax = 10; % Upper bound of Decesion Variable

%% Parameters of PSO

MaxIt = 100; % Maximum Number of Iterations

nPop = 50; % Population Size (Swarm Size)
wdamp = 0.99; % Damping Ratio of Inertia Coefficient
w = 1; % Inertia Coefficient
c1 = 2; % Personal Acceleration Coefficient
c2 = 2; % Social Acceleration Coefficient

%% Initialization

% The Particle Template
empty_particle.Position = [];
empty_particle.Velocity = [];
empty_particle.Cost = [];
empty_particle.Best.Position = [];
empty_particle.Best.Cost = [];

% Create Population Array
particle = repmat(empty_particle, nPop, 1);

% Initialize Global Best
GlobalBest.Cost = inf;

% Initialize Population Members
for i=1:nPop

% Generate Random Solution
particle(i).Position = unifrnd(VarMin, VarMax, VarSize);

% Initialize Velocity
particle(i).Velocity = zeros(VarSize);

% Evaluation
particle(i).Cost = CostFunction(particle(i).Position);

% Update the Personal Best
particle(i).Best.Position = particle(i).Position;
particle(i).Best.Cost = particle(i).Cost;

% Update Global Best
if particle(i).Best.Cost < GlobalBest.Cost
GlobalBest = particle(i).Best;
end

end
%
% Array to Hold Best Cost Value on Each Iteration
BestCosts = zeros(MaxIt, 1);

%% Main Loop of PSO

for it=1:MaxIt

for i=1:nPop

% Update Velocity
particle(i).Velocity = w*particle(i).Velocity …
+ c1*rand(VarSize).*(particle(i).Best.Position – particle(i).Position) …
+ c2*rand(VarSize).*(GlobalBest.Position – particle(i).Position);

% Update Position
particle(i).Postion = particle(i).Position + particle(i).Velocity;

% Evaluation
particle(i).Cost = CostFunction(particle(i).Position);

% Update Personal Best
if particle(i).Cost < particle(i).Best.Cost

particle(i).Best.Position = particle(i).Position;
particle(i).Best.Cost = particle(i).Cost;

% Update Global Best
if particle(i).Best.Cost < GlobalBest.Cost
GlobalBest = particle(i).Best;
end

end

end

% Store the Best Cost Value
BestCosts(it) = GlobalBest.Cost;

% Display Iteration Information
disp([‘Iteration ‘ num2str(it) ‘: Best Cost = ‘ num2str(BestCosts(it))]);

% Damping Interia Coefficient
w = w * wdamp;
end

figure;
plot(BestCosts, ‘LineWidth’, 2);

xlabel(‘Iteration’);
ylabel(‘Best Cost’);
grid on;
Value of BestCosts is alwyas the same, but shouldnt. I dont know how to fix it. Please help me. Hi
I have a pso code, but i have a little problem. Here is a code
clc;
clear;
close all;

%% Problem Definition

CostFunction = @(x) Sphere(x); % Cost Function

nVar = 5; % Number of Unknown (Deceision) Variables

VarSize = [1 nVar]; % Matrix Size of Decision Variables

VarMin = -10; % Lower bound of Decesion Variable
VarMax = 10; % Upper bound of Decesion Variable

%% Parameters of PSO

MaxIt = 100; % Maximum Number of Iterations

nPop = 50; % Population Size (Swarm Size)
wdamp = 0.99; % Damping Ratio of Inertia Coefficient
w = 1; % Inertia Coefficient
c1 = 2; % Personal Acceleration Coefficient
c2 = 2; % Social Acceleration Coefficient

%% Initialization

% The Particle Template
empty_particle.Position = [];
empty_particle.Velocity = [];
empty_particle.Cost = [];
empty_particle.Best.Position = [];
empty_particle.Best.Cost = [];

% Create Population Array
particle = repmat(empty_particle, nPop, 1);

% Initialize Global Best
GlobalBest.Cost = inf;

% Initialize Population Members
for i=1:nPop

% Generate Random Solution
particle(i).Position = unifrnd(VarMin, VarMax, VarSize);

% Initialize Velocity
particle(i).Velocity = zeros(VarSize);

% Evaluation
particle(i).Cost = CostFunction(particle(i).Position);

% Update the Personal Best
particle(i).Best.Position = particle(i).Position;
particle(i).Best.Cost = particle(i).Cost;

% Update Global Best
if particle(i).Best.Cost < GlobalBest.Cost
GlobalBest = particle(i).Best;
end

end
%
% Array to Hold Best Cost Value on Each Iteration
BestCosts = zeros(MaxIt, 1);

%% Main Loop of PSO

for it=1:MaxIt

for i=1:nPop

% Update Velocity
particle(i).Velocity = w*particle(i).Velocity …
+ c1*rand(VarSize).*(particle(i).Best.Position – particle(i).Position) …
+ c2*rand(VarSize).*(GlobalBest.Position – particle(i).Position);

% Update Position
particle(i).Postion = particle(i).Position + particle(i).Velocity;

% Evaluation
particle(i).Cost = CostFunction(particle(i).Position);

% Update Personal Best
if particle(i).Cost < particle(i).Best.Cost

particle(i).Best.Position = particle(i).Position;
particle(i).Best.Cost = particle(i).Cost;

% Update Global Best
if particle(i).Best.Cost < GlobalBest.Cost
GlobalBest = particle(i).Best;
end

end

end

% Store the Best Cost Value
BestCosts(it) = GlobalBest.Cost;

% Display Iteration Information
disp([‘Iteration ‘ num2str(it) ‘: Best Cost = ‘ num2str(BestCosts(it))]);

% Damping Interia Coefficient
w = w * wdamp;
end

figure;
plot(BestCosts, ‘LineWidth’, 2);

xlabel(‘Iteration’);
ylabel(‘Best Cost’);
grid on;
Value of BestCosts is alwyas the same, but shouldnt. I dont know how to fix it. Please help me. pso algorithm MATLAB Answers — New Questions

​

hi, i want to execute calback by click Node2 to execute other function
It’s possibile to do it?hi, i want to execute calback by click Node2 to execute other function
It’s possibile to do it? hi, i want to execute calback by click Node2 to execute other function
It’s possibile to do it? callback in treenode propertis MATLAB Answers — New Questions

​

When I was processing data with MATLAB on Ubuntu 20, I received the following message:

Your variables are reaching 2GB limit, revert to save -v7.3
This will be slower but avoids matlab not saving the data
I then changed the MAT file save format to 7.3 in the MATLAB preferences, but after restarting the software and the computer, I still encountered the same error when processing data. How should I resolve this?When I was processing data with MATLAB on Ubuntu 20, I received the following message:

Your variables are reaching 2GB limit, revert to save -v7.3
This will be slower but avoids matlab not saving the data
I then changed the MAT file save format to 7.3 in the MATLAB preferences, but after restarting the software and the computer, I still encountered the same error when processing data. How should I resolve this? When I was processing data with MATLAB on Ubuntu 20, I received the following message:

Your variables are reaching 2GB limit, revert to save -v7.3
This will be slower but avoids matlab not saving the data
I then changed the MAT file save format to 7.3 in the MATLAB preferences, but after restarting the software and the computer, I still encountered the same error when processing data. How should I resolve this? variables limit, ubuntu MATLAB Answers — New Questions

​

Hello!

I have a simulink electric motor example that is being controlled via PWM.

I want the controller that spits out the PWM to be a Python function ( a NN controller I have written in Python INPUT: motor rpm OUT: PWM signal) — and it returns in real time floating point numbers. e.g. 2,504; 2,103 etc.

I want that to be the input for the PWM block in the Simulink model. And the output of the electric motor (rpm) to be the input for the Python function (I have a special measurement input for that function).

Has anybody had any succes with linking .py files and Simulink ?
__________________________________________________________________________________________________________
And to run the python files, do I need to containerize them or to do something special ? Because there are 5 files in the whole project which I will need. I cannot run the function alone.

Thanks a lot!Hello!

I have a simulink electric motor example that is being controlled via PWM.

I want the controller that spits out the PWM to be a Python function ( a NN controller I have written in Python INPUT: motor rpm OUT: PWM signal) — and it returns in real time floating point numbers. e.g. 2,504; 2,103 etc.

I want that to be the input for the PWM block in the Simulink model. And the output of the electric motor (rpm) to be the input for the Python function (I have a special measurement input for that function).

Has anybody had any succes with linking .py files and Simulink ?
__________________________________________________________________________________________________________
And to run the python files, do I need to containerize them or to do something special ? Because there are 5 files in the whole project which I will need. I cannot run the function alone.

Thanks a lot! Hello!

I have a simulink electric motor example that is being controlled via PWM.

I want the controller that spits out the PWM to be a Python function ( a NN controller I have written in Python INPUT: motor rpm OUT: PWM signal) — and it returns in real time floating point numbers. e.g. 2,504; 2,103 etc.

I want that to be the input for the PWM block in the Simulink model. And the output of the electric motor (rpm) to be the input for the Python function (I have a special measurement input for that function).

Has anybody had any succes with linking .py files and Simulink ?
__________________________________________________________________________________________________________
And to run the python files, do I need to containerize them or to do something special ? Because there are 5 files in the whole project which I will need. I cannot run the function alone.

Thanks a lot! python, simulink, electric_motor_control, embedded matlab function MATLAB Answers — New Questions

​

I am working on a binary classification of images.the code i am using is as follows.
In short, the ‘data’ file contains an image as 320*100*2 in its cell. 320 is width, 100 is height and 2 is channel (gmti is a name for channel 1, ref is a name for channel 2).
I have 290 images in total so ‘data’ is a 290*1 cell. 290 as batch, 320*100 as spece, 2 as channel. (SSCB)
For labels, I simply labeled then as double 0 or 1, and used num2str and converted it into categorical.
the error message is as such.
trainnet:
Error forming mini-batch for network input "input". Data interpreted with format "SSCB". To specify a different format, use the InputDataFormats option.

net_trained = trainnet(data,labels_cat, net,’crossentropy’,options);
Cause:
Cell array input supports sequence data only.

I tried changing input layer as sequence and making data format as 320*100*2*290 double. Did not work.
Exactly what is the proper data format should i use?
———————————————————————————————————-
clear
close all
for i = 1 : size(gmti, 1)
data{i,1}(:,:,1) = [gmti{i}];
data{i,1}(:,:,2) = [ref{i}];
end
mm = 1;
for i = size(gmti, 1) + 1 : size(gmti, 1) + size(gmti2, 1)
data{i,1}(:,:,1) = [gmti2{mm}];
data{i,1}(:,:,2) = [ref2{mm}];
mm = mm+1;
end
data2 = zeros(320, 100, 2, 290);
for i = 1 : size(data,1)
data2(:,:,:, i)=data{i, 1};
end
labels = [label; label2];
labels_cat = {};
for i =1 : size(labels, 1)
labels_cat{i, 1} = num2str(labels(i, 1));
end
labels_cat = categorical(labels_cat);
%%
% imds = imageDatastore(data, ‘Labels’,labels_cat);
%%
imageSize = [320 100 2];
numClasses = 2;
stackDepth = [3 4 23 3];
numFilters = [64 128 256 512];
net = resnetNetwork(imageSize,numClasses, …
StackDepth=stackDepth, …
NumFilters=numFilters);
% analyzeNetwork(net)
% net = replaceLayer(net, ‘input’, sequenceInputLayer(imageSize));
options = trainingOptions("sgdm", …
InitialLearnRate=0.01, …
MaxEpochs=100, …
Shuffle="every-epoch", …
Plots="training-progress", …
Verbose=false);
% InputDataFormats = "SSCB", …
%%
%%
net_trained = trainnet(data,labels_cat, net,’crossentropy’,options);I am working on a binary classification of images.the code i am using is as follows.
In short, the ‘data’ file contains an image as 320*100*2 in its cell. 320 is width, 100 is height and 2 is channel (gmti is a name for channel 1, ref is a name for channel 2).
I have 290 images in total so ‘data’ is a 290*1 cell. 290 as batch, 320*100 as spece, 2 as channel. (SSCB)
For labels, I simply labeled then as double 0 or 1, and used num2str and converted it into categorical.
the error message is as such.
trainnet:
Error forming mini-batch for network input "input". Data interpreted with format "SSCB". To specify a different format, use the InputDataFormats option.

net_trained = trainnet(data,labels_cat, net,’crossentropy’,options);
Cause:
Cell array input supports sequence data only.

I tried changing input layer as sequence and making data format as 320*100*2*290 double. Did not work.
Exactly what is the proper data format should i use?
———————————————————————————————————-
clear
close all
for i = 1 : size(gmti, 1)
data{i,1}(:,:,1) = [gmti{i}];
data{i,1}(:,:,2) = [ref{i}];
end
mm = 1;
for i = size(gmti, 1) + 1 : size(gmti, 1) + size(gmti2, 1)
data{i,1}(:,:,1) = [gmti2{mm}];
data{i,1}(:,:,2) = [ref2{mm}];
mm = mm+1;
end
data2 = zeros(320, 100, 2, 290);
for i = 1 : size(data,1)
data2(:,:,:, i)=data{i, 1};
end
labels = [label; label2];
labels_cat = {};
for i =1 : size(labels, 1)
labels_cat{i, 1} = num2str(labels(i, 1));
end
labels_cat = categorical(labels_cat);
%%
% imds = imageDatastore(data, ‘Labels’,labels_cat);
%%
imageSize = [320 100 2];
numClasses = 2;
stackDepth = [3 4 23 3];
numFilters = [64 128 256 512];
net = resnetNetwork(imageSize,numClasses, …
StackDepth=stackDepth, …
NumFilters=numFilters);
% analyzeNetwork(net)
% net = replaceLayer(net, ‘input’, sequenceInputLayer(imageSize));
options = trainingOptions("sgdm", …
InitialLearnRate=0.01, …
MaxEpochs=100, …
Shuffle="every-epoch", …
Plots="training-progress", …
Verbose=false);
% InputDataFormats = "SSCB", …
%%
%%
net_trained = trainnet(data,labels_cat, net,’crossentropy’,options); I am working on a binary classification of images.the code i am using is as follows.
In short, the ‘data’ file contains an image as 320*100*2 in its cell. 320 is width, 100 is height and 2 is channel (gmti is a name for channel 1, ref is a name for channel 2).
I have 290 images in total so ‘data’ is a 290*1 cell. 290 as batch, 320*100 as spece, 2 as channel. (SSCB)
For labels, I simply labeled then as double 0 or 1, and used num2str and converted it into categorical.
the error message is as such.
trainnet:
Error forming mini-batch for network input "input". Data interpreted with format "SSCB". To specify a different format, use the InputDataFormats option.

net_trained = trainnet(data,labels_cat, net,’crossentropy’,options);
Cause:
Cell array input supports sequence data only.

I tried changing input layer as sequence and making data format as 320*100*2*290 double. Did not work.
Exactly what is the proper data format should i use?
———————————————————————————————————-
clear
close all
for i = 1 : size(gmti, 1)
data{i,1}(:,:,1) = [gmti{i}];
data{i,1}(:,:,2) = [ref{i}];
end
mm = 1;
for i = size(gmti, 1) + 1 : size(gmti, 1) + size(gmti2, 1)
data{i,1}(:,:,1) = [gmti2{mm}];
data{i,1}(:,:,2) = [ref2{mm}];
mm = mm+1;
end
data2 = zeros(320, 100, 2, 290);
for i = 1 : size(data,1)
data2(:,:,:, i)=data{i, 1};
end
labels = [label; label2];
labels_cat = {};
for i =1 : size(labels, 1)
labels_cat{i, 1} = num2str(labels(i, 1));
end
labels_cat = categorical(labels_cat);
%%
% imds = imageDatastore(data, ‘Labels’,labels_cat);
%%
imageSize = [320 100 2];
numClasses = 2;
stackDepth = [3 4 23 3];
numFilters = [64 128 256 512];
net = resnetNetwork(imageSize,numClasses, …
StackDepth=stackDepth, …
NumFilters=numFilters);
% analyzeNetwork(net)
% net = replaceLayer(net, ‘input’, sequenceInputLayer(imageSize));
options = trainingOptions("sgdm", …
InitialLearnRate=0.01, …
MaxEpochs=100, …
Shuffle="every-epoch", …
Plots="training-progress", …
Verbose=false);
% InputDataFormats = "SSCB", …
%%
%%
net_trained = trainnet(data,labels_cat, net,’crossentropy’,options); deep learning, resnet, input, data, format, input format MATLAB Answers — New Questions

​

Why can I not download "Library for interfacing Library for interfacing Library for interfacing with IIO devices’ using matlab 2018aWhy can I not download "Library for interfacing Library for interfacing Library for interfacing with IIO devices’ using matlab 2018a Why can I not download "Library for interfacing Library for interfacing Library for interfacing with IIO devices’ using matlab 2018a library for interfacing MATLAB Answers — New Questions

​

I’m posting this mostly as help to someone else trying to develop a system using MCC’s DAQHATS. There are very little resources regarding using Daqhats from MCC from Matlab (unsupported) or MCC.
The installation of the DAQHAT python library requires that it be installed into a virtual environment. That was causing us issues expecially when we need to run 2 scripts back to back. It would close the virtual environment after the first script.
The following is the question we submitted to Matlab’s help team:
Description: We are using MCC Daqhats. First, I know this is not a supported hardware for Matlab. We are not asking for support for that. However, in the process of installing the python libraries for the Daqhats, we are forced to install them into a virtual environment. We believe this is causing us problems. We need to run multiple scripts in a row. We think that after the first call it is exiting the virtual environment but we are not certain of that.
The matlab file calling the python script is attached. The python script we are calling is attached. We have tested the python script on the PI and it runs properly both from python and the command line.
here is our Matlab error:
Error using datacollection
Error executing command "python3 /home/aset/daqhats/examples/python/mcc172/bert2.py". Details:
STDERR: Traceback (most recent call last):
File "/home/aset/daqhats/examples/python/mcc172/bert2.py", line 3, in <module>
from daqhats import mcc172, OptionFlags, SourceType, HatIDs, HatError
ModuleNotFoundError: No module named ‘daqhats’
Our Solution was as follows: (However others may have a better solution)
We have been able to get it to work by explicitly calling the virtual environment in the system command. This was found using a resource other than a Matlab site.
system(rpi, ‘/home/aset/environments/bin/python3 /home/aset/daqhats/examples/python/mcc172/bert2.py’)I’m posting this mostly as help to someone else trying to develop a system using MCC’s DAQHATS. There are very little resources regarding using Daqhats from MCC from Matlab (unsupported) or MCC.
The installation of the DAQHAT python library requires that it be installed into a virtual environment. That was causing us issues expecially when we need to run 2 scripts back to back. It would close the virtual environment after the first script.
The following is the question we submitted to Matlab’s help team:
Description: We are using MCC Daqhats. First, I know this is not a supported hardware for Matlab. We are not asking for support for that. However, in the process of installing the python libraries for the Daqhats, we are forced to install them into a virtual environment. We believe this is causing us problems. We need to run multiple scripts in a row. We think that after the first call it is exiting the virtual environment but we are not certain of that.
The matlab file calling the python script is attached. The python script we are calling is attached. We have tested the python script on the PI and it runs properly both from python and the command line.
here is our Matlab error:
Error using datacollection
Error executing command "python3 /home/aset/daqhats/examples/python/mcc172/bert2.py". Details:
STDERR: Traceback (most recent call last):
File "/home/aset/daqhats/examples/python/mcc172/bert2.py", line 3, in <module>
from daqhats import mcc172, OptionFlags, SourceType, HatIDs, HatError
ModuleNotFoundError: No module named ‘daqhats’
Our Solution was as follows: (However others may have a better solution)
We have been able to get it to work by explicitly calling the virtual environment in the system command. This was found using a resource other than a Matlab site.
system(rpi, ‘/home/aset/environments/bin/python3 /home/aset/daqhats/examples/python/mcc172/bert2.py’) I’m posting this mostly as help to someone else trying to develop a system using MCC’s DAQHATS. There are very little resources regarding using Daqhats from MCC from Matlab (unsupported) or MCC.
The installation of the DAQHAT python library requires that it be installed into a virtual environment. That was causing us issues expecially when we need to run 2 scripts back to back. It would close the virtual environment after the first script.
The following is the question we submitted to Matlab’s help team:
Description: We are using MCC Daqhats. First, I know this is not a supported hardware for Matlab. We are not asking for support for that. However, in the process of installing the python libraries for the Daqhats, we are forced to install them into a virtual environment. We believe this is causing us problems. We need to run multiple scripts in a row. We think that after the first call it is exiting the virtual environment but we are not certain of that.
The matlab file calling the python script is attached. The python script we are calling is attached. We have tested the python script on the PI and it runs properly both from python and the command line.
here is our Matlab error:
Error using datacollection
Error executing command "python3 /home/aset/daqhats/examples/python/mcc172/bert2.py". Details:
STDERR: Traceback (most recent call last):
File "/home/aset/daqhats/examples/python/mcc172/bert2.py", line 3, in <module>
from daqhats import mcc172, OptionFlags, SourceType, HatIDs, HatError
ModuleNotFoundError: No module named ‘daqhats’
Our Solution was as follows: (However others may have a better solution)
We have been able to get it to work by explicitly calling the virtual environment in the system command. This was found using a resource other than a Matlab site.
system(rpi, ‘/home/aset/environments/bin/python3 /home/aset/daqhats/examples/python/mcc172/bert2.py’) mcc, daqhat, virtual enviroment MATLAB Answers — New Questions

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I have the data
WireLength 1 4 5 6 8 10 12 14 13 18 19 21
DieHeight 125 110 287 200 350 280 400 371 480 420 540 518
where Wirelength is the x variable and DieHeight is the y variable
I want to draw first and second principal component line in the raw data also draw the orthogonal lines from the point to the line.I have the data
WireLength 1 4 5 6 8 10 12 14 13 18 19 21
DieHeight 125 110 287 200 350 280 400 371 480 420 540 518
where Wirelength is the x variable and DieHeight is the y variable
I want to draw first and second principal component line in the raw data also draw the orthogonal lines from the point to the line. I have the data
WireLength 1 4 5 6 8 10 12 14 13 18 19 21
DieHeight 125 110 287 200 350 280 400 371 480 420 540 518
where Wirelength is the x variable and DieHeight is the y variable
I want to draw first and second principal component line in the raw data also draw the orthogonal lines from the point to the line. principal component analysis MATLAB Answers — New Questions

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I’m using the matlab app designer to create some plots and would like to add the plot browser so that I can hide/show certain data in the app. I am using 2024a and a cursory search on Google has turned up nothing.I’m using the matlab app designer to create some plots and would like to add the plot browser so that I can hide/show certain data in the app. I am using 2024a and a cursory search on Google has turned up nothing. I’m using the matlab app designer to create some plots and would like to add the plot browser so that I can hide/show certain data in the app. I am using 2024a and a cursory search on Google has turned up nothing. plotbrowser MATLAB Answers — New Questions

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