I want to make multiple plots within 1 figure
I want to make a plot with days (x axis) and time (y axis set to 30 mins) .
Within each day, I want to make a line (corresponding to when trial was made; new_endpoint) and colour (timepertrial_backtrace).
I want to do this for all the days in that plot but I am not sure how to proceed.
I have put the snippet of code for doing it but it runs for 1 day only.

Any insight will be useful
%%
figure % make new figure
tiledlayout(numel(num_days), 1, ‘TileSpacing’, ‘compact’, ‘Padding’, ‘compact’);
range_col = 800; % range upper limit for my values
for day = 1:numel(num_days)
% Load the variable for the specific day here
load( fullfile(matlist(days_F3187(1,day)).folder, matlist(days_F3187(1,day)).name) ); % Load variables from the .mat file
% the above are .mat file where i store information for each day and I
% load them 1 by 1 as needed

nexttile;

new_endpoint = endpoint / 12000; % 200 Hz frame rate
trial_color_range = parula(range_col+1); % Generating a color range from 0 to range

for i = 1:trialno
% Map the color based on timepertrial_backtrace within the color range
color_index = min(max(round(timepertrial_backtraced(i)), 0), range_col);
trial_color = trial_color_range(color_index + 1, :); % Select color from the color range

% Plotting the line for the current trial with the assigned color
plot([day-1, day], [new_endpoint(i), new_endpoint(i)], ‘Color’, trial_color, ‘LineWidth’, 1);

hold on;
end

hold off;

title([‘Day ‘ num2str(day)]);
xlabel(‘Day’);
ylabel(’30 mins’);
clear trial_color % Clear the trial_color variable for the next iteration
end

sgtitle(‘Timepoints within 30-minute sessions colored based on timepertrial_backtraced’);

This is the figure generated:

However, only 1 day is created and I want information for all the days to be displayed.

How should I approach this problem?I want to make multiple plots within 1 figure
I want to make a plot with days (x axis) and time (y axis set to 30 mins) .
Within each day, I want to make a line (corresponding to when trial was made; new_endpoint) and colour (timepertrial_backtrace).
I want to do this for all the days in that plot but I am not sure how to proceed.
I have put the snippet of code for doing it but it runs for 1 day only.

Any insight will be useful
%%
figure % make new figure
tiledlayout(numel(num_days), 1, ‘TileSpacing’, ‘compact’, ‘Padding’, ‘compact’);
range_col = 800; % range upper limit for my values
for day = 1:numel(num_days)
% Load the variable for the specific day here
load( fullfile(matlist(days_F3187(1,day)).folder, matlist(days_F3187(1,day)).name) ); % Load variables from the .mat file
% the above are .mat file where i store information for each day and I
% load them 1 by 1 as needed

nexttile;

new_endpoint = endpoint / 12000; % 200 Hz frame rate
trial_color_range = parula(range_col+1); % Generating a color range from 0 to range

for i = 1:trialno
% Map the color based on timepertrial_backtrace within the color range
color_index = min(max(round(timepertrial_backtraced(i)), 0), range_col);
trial_color = trial_color_range(color_index + 1, :); % Select color from the color range

% Plotting the line for the current trial with the assigned color
plot([day-1, day], [new_endpoint(i), new_endpoint(i)], ‘Color’, trial_color, ‘LineWidth’, 1);

hold on;
end

hold off;

title([‘Day ‘ num2str(day)]);
xlabel(‘Day’);
ylabel(’30 mins’);
clear trial_color % Clear the trial_color variable for the next iteration
end

sgtitle(‘Timepoints within 30-minute sessions colored based on timepertrial_backtraced’);

This is the figure generated:

However, only 1 day is created and I want information for all the days to be displayed.

How should I approach this problem? I want to make multiple plots within 1 figure
I want to make a plot with days (x axis) and time (y axis set to 30 mins) .
Within each day, I want to make a line (corresponding to when trial was made; new_endpoint) and colour (timepertrial_backtrace).
I want to do this for all the days in that plot but I am not sure how to proceed.
I have put the snippet of code for doing it but it runs for 1 day only.

Any insight will be useful
%%
figure % make new figure
tiledlayout(numel(num_days), 1, ‘TileSpacing’, ‘compact’, ‘Padding’, ‘compact’);
range_col = 800; % range upper limit for my values
for day = 1:numel(num_days)
% Load the variable for the specific day here
load( fullfile(matlist(days_F3187(1,day)).folder, matlist(days_F3187(1,day)).name) ); % Load variables from the .mat file
% the above are .mat file where i store information for each day and I
% load them 1 by 1 as needed

nexttile;

new_endpoint = endpoint / 12000; % 200 Hz frame rate
trial_color_range = parula(range_col+1); % Generating a color range from 0 to range

for i = 1:trialno
% Map the color based on timepertrial_backtrace within the color range
color_index = min(max(round(timepertrial_backtraced(i)), 0), range_col);
trial_color = trial_color_range(color_index + 1, :); % Select color from the color range

% Plotting the line for the current trial with the assigned color
plot([day-1, day], [new_endpoint(i), new_endpoint(i)], ‘Color’, trial_color, ‘LineWidth’, 1);

hold on;
end

hold off;

title([‘Day ‘ num2str(day)]);
xlabel(‘Day’);
ylabel(’30 mins’);
clear trial_color % Clear the trial_color variable for the next iteration
end

sgtitle(‘Timepoints within 30-minute sessions colored based on timepertrial_backtraced’);

This is the figure generated:

However, only 1 day is created and I want information for all the days to be displayed.

How should I approach this problem? plot, tiledplot, multiple figure, subplot MATLAB Answers — New Questions

​

How to calculate the Largest/dominant Lyapunov Exponent (LLE) for a time series data points ?
I have a time series data points value (File of containing 50000 values of a variable (i.e. x position values / x velocity / Temperature at point) with a time step of 0.01). I have attached a .csv file on this Question.

I have tried the Matlab Function (lyapExp = lyapunovExponent(X,fs)).
I have tried with a lograthim equation (Eq: 12) for calculating the Largest Lyapunov exponent value given on the paper :"Transient natural convection flows and heat transfer in a thermally stratified air-filled trapezoidal cavity"
If anybody knows how to calculate the Largest Lyapunov exponent value for a time series data value. Please help me to find out this.
Thanks in advance!!How to calculate the Largest/dominant Lyapunov Exponent (LLE) for a time series data points ?
I have a time series data points value (File of containing 50000 values of a variable (i.e. x position values / x velocity / Temperature at point) with a time step of 0.01). I have attached a .csv file on this Question.

I have tried the Matlab Function (lyapExp = lyapunovExponent(X,fs)).
I have tried with a lograthim equation (Eq: 12) for calculating the Largest Lyapunov exponent value given on the paper :"Transient natural convection flows and heat transfer in a thermally stratified air-filled trapezoidal cavity"
If anybody knows how to calculate the Largest Lyapunov exponent value for a time series data value. Please help me to find out this.
Thanks in advance!! How to calculate the Largest/dominant Lyapunov Exponent (LLE) for a time series data points ?
I have a time series data points value (File of containing 50000 values of a variable (i.e. x position values / x velocity / Temperature at point) with a time step of 0.01). I have attached a .csv file on this Question.

I have tried the Matlab Function (lyapExp = lyapunovExponent(X,fs)).
I have tried with a lograthim equation (Eq: 12) for calculating the Largest Lyapunov exponent value given on the paper :"Transient natural convection flows and heat transfer in a thermally stratified air-filled trapezoidal cavity"
If anybody knows how to calculate the Largest Lyapunov exponent value for a time series data value. Please help me to find out this.
Thanks in advance!! lyapunov exponent, time series MATLAB Answers — New Questions

​

J=Jacob(th1(i),th2(i),th3(i),th4(i));
W_t=W(i,:)’; Index in position 1 exceeds array bounds. Index must not exceed 4.
V=J*W_t;
dim = [0.8 0.5 0.4 0.3];
annotation(‘textbox’,dim,’String’,num2str(V))J=Jacob(th1(i),th2(i),th3(i),th4(i));
W_t=W(i,:)’; Index in position 1 exceeds array bounds. Index must not exceed 4.
V=J*W_t;
dim = [0.8 0.5 0.4 0.3];
annotation(‘textbox’,dim,’String’,num2str(V)) J=Jacob(th1(i),th2(i),th3(i),th4(i));
W_t=W(i,:)’; Index in position 1 exceeds array bounds. Index must not exceed 4.
V=J*W_t;
dim = [0.8 0.5 0.4 0.3];
annotation(‘textbox’,dim,’String’,num2str(V)) temporary omega MATLAB Answers — New Questions

​

When I run the following code, the circles are detected but viscircles generates an error.
clear;
close all;
myImage = imread("washers.png");
G = im2gray(myImage);
fig1 = figure(1);
imshow(myImage);
[centers, radii] = imfindcircles(myImage, [10 150], ‘ObjectPolarity’, ‘bright’);
h = viscircles(centers, radii, Color=’b’);
Error Message –
Error using line
Too many input arguments.

Error in viscircles (line 43)
line(x,y,’Parent’,h, …

Error in ImageCircle (line 11)
h=viscircles(centers, radii,Color=’b’);When I run the following code, the circles are detected but viscircles generates an error.
clear;
close all;
myImage = imread("washers.png");
G = im2gray(myImage);
fig1 = figure(1);
imshow(myImage);
[centers, radii] = imfindcircles(myImage, [10 150], ‘ObjectPolarity’, ‘bright’);
h = viscircles(centers, radii, Color=’b’);
Error Message –
Error using line
Too many input arguments.

Error in viscircles (line 43)
line(x,y,’Parent’,h, …

Error in ImageCircle (line 11)
h=viscircles(centers, radii,Color=’b’); When I run the following code, the circles are detected but viscircles generates an error.
clear;
close all;
myImage = imread("washers.png");
G = im2gray(myImage);
fig1 = figure(1);
imshow(myImage);
[centers, radii] = imfindcircles(myImage, [10 150], ‘ObjectPolarity’, ‘bright’);
h = viscircles(centers, radii, Color=’b’);
Error Message –
Error using line
Too many input arguments.

Error in viscircles (line 43)
line(x,y,’Parent’,h, …

Error in ImageCircle (line 11)
h=viscircles(centers, radii,Color=’b’); viscircles MATLAB Answers — New Questions

​

Previously, I have been able to change the color of my y and x axis labels and tick labels using the tex interpreter syntax. I needed to do it like this because I did not want the black axis lines on my heatmap plot. So I built a code using tex markup, that used to output a figure that looked like this:

However, now that figure when generated looks like this:

If I change the window background color, it shows that my text is not being interpreted properly with the ‘Tex’ interpreter.

This is despite my TickLabelInterpreter being set to ‘tex’.

Any ideas what could be causing this sudden change/hiccup? A code snippet is below:
%% Figure 2 – Heatmaps of Acceptance Rates by $ to Subj and Contrasts

%Unpaid Phase

%Set Figure Environment
fig2A = figure;
fig2A.Units = ‘inches’;
fig2A.Position = [fig2A.Position(1), fig2A.Position(2), 6, 6.75];
fig2A.Color = ‘white’;
angle = 45;
xlabelstr = ‘/color{black}Charity Donation ($)’;
ylabelstr = ‘/color{black}Shock Units (U)’;
tl = tiledlayout(4,4, ‘TileSpacing’, ‘compact’, ‘Padding’, ‘compact’);
tl.Position(1) = 0.0875;
tl.Position(3) = 0.7625;

%Open Subplot
nexttile
ARheatmap{1} = imagesc(flipud(All.meanARbySubj{1}), [0 1]);
ax{2,1} = tl.Children(1);
ax{2,1}.XTick = 1:6;
ax{2,1}.Box = ‘off’;
ax{2,1}.XColor = ‘w’;
ax{2,1}.YColor = ‘w’;
title(‘Unpaid’);
xticklabelstr = num2cellstr(CharVal);
yticklabelstr = num2cellstr(flip(ShockVal));

%Create ticklabel cell arrays
for i = 1:6
xticklabelstr{i} = [‘/color{black}’ xticklabelstr{i}];
if i < 6
yticklabelstr{i} = [‘/color{black}’ yticklabelstr{i}];
end
end

%Set Tick and axis labels
ax{2,1}.XTickLabel = xticklabelstr;
ax{2,1}.YTickLabel = yticklabelstr;
ax{2,1}.TickLabelInterpreter = ‘tex’;
xtickangle(angle);
xlabel(xlabelstr, ‘Interpreter’,’tex’);
ylabel(ylabelstr, ‘Interpreter’,’tex’);

%Add colorbar
colormap(plasma)
cb = colorbar;
cb.Color = ‘w’;
cb.Location = ‘layout’;
cb.Layout.Tile = 2;
cb.Ticks = [0 0.25 0.5 0.75 1];
cb.TickLabels = {‘/color{black}0’, ‘/color{black}0.25’, …
‘/color{black}0.5’, ‘/color{black}0.75’, ‘/color{black}1’};
cb.Label.String = ‘/color{black}Shock Acceptance Rate’;
cb.Box = ‘off’;
cb.TickLabelInterpreter = ‘tex’;Previously, I have been able to change the color of my y and x axis labels and tick labels using the tex interpreter syntax. I needed to do it like this because I did not want the black axis lines on my heatmap plot. So I built a code using tex markup, that used to output a figure that looked like this:

However, now that figure when generated looks like this:

If I change the window background color, it shows that my text is not being interpreted properly with the ‘Tex’ interpreter.

This is despite my TickLabelInterpreter being set to ‘tex’.

Any ideas what could be causing this sudden change/hiccup? A code snippet is below:
%% Figure 2 – Heatmaps of Acceptance Rates by $ to Subj and Contrasts

%Unpaid Phase

%Set Figure Environment
fig2A = figure;
fig2A.Units = ‘inches’;
fig2A.Position = [fig2A.Position(1), fig2A.Position(2), 6, 6.75];
fig2A.Color = ‘white’;
angle = 45;
xlabelstr = ‘/color{black}Charity Donation ($)’;
ylabelstr = ‘/color{black}Shock Units (U)’;
tl = tiledlayout(4,4, ‘TileSpacing’, ‘compact’, ‘Padding’, ‘compact’);
tl.Position(1) = 0.0875;
tl.Position(3) = 0.7625;

%Open Subplot
nexttile
ARheatmap{1} = imagesc(flipud(All.meanARbySubj{1}), [0 1]);
ax{2,1} = tl.Children(1);
ax{2,1}.XTick = 1:6;
ax{2,1}.Box = ‘off’;
ax{2,1}.XColor = ‘w’;
ax{2,1}.YColor = ‘w’;
title(‘Unpaid’);
xticklabelstr = num2cellstr(CharVal);
yticklabelstr = num2cellstr(flip(ShockVal));

%Create ticklabel cell arrays
for i = 1:6
xticklabelstr{i} = [‘/color{black}’ xticklabelstr{i}];
if i < 6
yticklabelstr{i} = [‘/color{black}’ yticklabelstr{i}];
end
end

%Set Tick and axis labels
ax{2,1}.XTickLabel = xticklabelstr;
ax{2,1}.YTickLabel = yticklabelstr;
ax{2,1}.TickLabelInterpreter = ‘tex’;
xtickangle(angle);
xlabel(xlabelstr, ‘Interpreter’,’tex’);
ylabel(ylabelstr, ‘Interpreter’,’tex’);

%Add colorbar
colormap(plasma)
cb = colorbar;
cb.Color = ‘w’;
cb.Location = ‘layout’;
cb.Layout.Tile = 2;
cb.Ticks = [0 0.25 0.5 0.75 1];
cb.TickLabels = {‘/color{black}0’, ‘/color{black}0.25’, …
‘/color{black}0.5’, ‘/color{black}0.75’, ‘/color{black}1’};
cb.Label.String = ‘/color{black}Shock Acceptance Rate’;
cb.Box = ‘off’;
cb.TickLabelInterpreter = ‘tex’; Previously, I have been able to change the color of my y and x axis labels and tick labels using the tex interpreter syntax. I needed to do it like this because I did not want the black axis lines on my heatmap plot. So I built a code using tex markup, that used to output a figure that looked like this:

However, now that figure when generated looks like this:

If I change the window background color, it shows that my text is not being interpreted properly with the ‘Tex’ interpreter.

This is despite my TickLabelInterpreter being set to ‘tex’.

Any ideas what could be causing this sudden change/hiccup? A code snippet is below:
%% Figure 2 – Heatmaps of Acceptance Rates by $ to Subj and Contrasts

%Unpaid Phase

%Set Figure Environment
fig2A = figure;
fig2A.Units = ‘inches’;
fig2A.Position = [fig2A.Position(1), fig2A.Position(2), 6, 6.75];
fig2A.Color = ‘white’;
angle = 45;
xlabelstr = ‘/color{black}Charity Donation ($)’;
ylabelstr = ‘/color{black}Shock Units (U)’;
tl = tiledlayout(4,4, ‘TileSpacing’, ‘compact’, ‘Padding’, ‘compact’);
tl.Position(1) = 0.0875;
tl.Position(3) = 0.7625;

%Open Subplot
nexttile
ARheatmap{1} = imagesc(flipud(All.meanARbySubj{1}), [0 1]);
ax{2,1} = tl.Children(1);
ax{2,1}.XTick = 1:6;
ax{2,1}.Box = ‘off’;
ax{2,1}.XColor = ‘w’;
ax{2,1}.YColor = ‘w’;
title(‘Unpaid’);
xticklabelstr = num2cellstr(CharVal);
yticklabelstr = num2cellstr(flip(ShockVal));

%Create ticklabel cell arrays
for i = 1:6
xticklabelstr{i} = [‘/color{black}’ xticklabelstr{i}];
if i < 6
yticklabelstr{i} = [‘/color{black}’ yticklabelstr{i}];
end
end

%Set Tick and axis labels
ax{2,1}.XTickLabel = xticklabelstr;
ax{2,1}.YTickLabel = yticklabelstr;
ax{2,1}.TickLabelInterpreter = ‘tex’;
xtickangle(angle);
xlabel(xlabelstr, ‘Interpreter’,’tex’);
ylabel(ylabelstr, ‘Interpreter’,’tex’);

%Add colorbar
colormap(plasma)
cb = colorbar;
cb.Color = ‘w’;
cb.Location = ‘layout’;
cb.Layout.Tile = 2;
cb.Ticks = [0 0.25 0.5 0.75 1];
cb.TickLabels = {‘/color{black}0’, ‘/color{black}0.25’, …
‘/color{black}0.5’, ‘/color{black}0.75’, ‘/color{black}1’};
cb.Label.String = ‘/color{black}Shock Acceptance Rate’;
cb.Box = ‘off’;
cb.TickLabelInterpreter = ‘tex’; text, plot, figure MATLAB Answers — New Questions

​

I am trying to run a Simulink Test Harness which tests a model with its "Toolchain" parameter set to "CMake". However, when I run my test under SIL mode, I receive the following error message:

An error occurred (‘Simulink:modelReference:TargetUpdateError’) when calling ‘sim’:

Unable to update models referenced by ‘modelHarness’.

Selected toolchain ‘CMake’ does not support executing the build artifact when generating code, and requires ‘Generate code only’ to be enabled.
How can I run my Simulink Test?I am trying to run a Simulink Test Harness which tests a model with its "Toolchain" parameter set to "CMake". However, when I run my test under SIL mode, I receive the following error message:

An error occurred (‘Simulink:modelReference:TargetUpdateError’) when calling ‘sim’:

Unable to update models referenced by ‘modelHarness’.

Selected toolchain ‘CMake’ does not support executing the build artifact when generating code, and requires ‘Generate code only’ to be enabled.
How can I run my Simulink Test? I am trying to run a Simulink Test Harness which tests a model with its "Toolchain" parameter set to "CMake". However, when I run my test under SIL mode, I receive the following error message:

An error occurred (‘Simulink:modelReference:TargetUpdateError’) when calling ‘sim’:

Unable to update models referenced by ‘modelHarness’.

Selected toolchain ‘CMake’ does not support executing the build artifact when generating code, and requires ‘Generate code only’ to be enabled.
How can I run my Simulink Test? cmake, toolchain, sil MATLAB Answers — New Questions

​

This question is soft-locked: new answers that are equivalent to already posted answers may be deleted without prior notice. Please take the time to make sure your contributions add something new.

Write the function for
A sparse matrix is a large matrix with almost all elements of the same value (typically zero). The normal representation of a sparse matrix takes up lots of memory when the useful information can be captured with much less. A possible way to represent a sparse matrix is with a cell vector whose first element is a 2-element vector representing the size of the sparse matrix. The second element is a scalar specifying the default value of the sparse matrix. Each successive element of the cell vector is a 3-element vector representing one element of the sparse matrix that has a value other than the default. The three elements are the row index, the column index and the actual value. Write a function called "sparse2matrix" that takes a single input of a cell vector as defined above and returns the output argument called "matrix", the matrix in its traditional form. Consider the following run:
cellvec = {[2 3], 0, [1 2 3], [2 2 -3]};
matrix = sparse2matrix(cellvec)
matrix =
0 3 0

0 -3 0This question is soft-locked: new answers that are equivalent to already posted answers may be deleted without prior notice. Please take the time to make sure your contributions add something new.

Write the function for
A sparse matrix is a large matrix with almost all elements of the same value (typically zero). The normal representation of a sparse matrix takes up lots of memory when the useful information can be captured with much less. A possible way to represent a sparse matrix is with a cell vector whose first element is a 2-element vector representing the size of the sparse matrix. The second element is a scalar specifying the default value of the sparse matrix. Each successive element of the cell vector is a 3-element vector representing one element of the sparse matrix that has a value other than the default. The three elements are the row index, the column index and the actual value. Write a function called "sparse2matrix" that takes a single input of a cell vector as defined above and returns the output argument called "matrix", the matrix in its traditional form. Consider the following run:
cellvec = {[2 3], 0, [1 2 3], [2 2 -3]};
matrix = sparse2matrix(cellvec)
matrix =
0 3 0

0 -3 0 This question is soft-locked: new answers that are equivalent to already posted answers may be deleted without prior notice. Please take the time to make sure your contributions add something new.

Write the function for
A sparse matrix is a large matrix with almost all elements of the same value (typically zero). The normal representation of a sparse matrix takes up lots of memory when the useful information can be captured with much less. A possible way to represent a sparse matrix is with a cell vector whose first element is a 2-element vector representing the size of the sparse matrix. The second element is a scalar specifying the default value of the sparse matrix. Each successive element of the cell vector is a 3-element vector representing one element of the sparse matrix that has a value other than the default. The three elements are the row index, the column index and the actual value. Write a function called "sparse2matrix" that takes a single input of a cell vector as defined above and returns the output argument called "matrix", the matrix in its traditional form. Consider the following run:
cellvec = {[2 3], 0, [1 2 3], [2 2 -3]};
matrix = sparse2matrix(cellvec)
matrix =
0 3 0

0 -3 0 sparse matrix, sparse2matrix, cellvec, homework, soft-lock MATLAB Answers — New Questions

​

Hello all,
I am trying to solve a problem which has been solved previously, but I am still struglling to figure a way out. I want to unify the coordinate systems (polar stereographic coordinate) in the Arctic from two different dataset – a) NSIDC sea ice motion nand b) ECCO sea ice motion.

Now, the NSIDC one has a grid system of 361×361 but the ECCO has a 90×90 grid system. I am tryiong to make a point by poiny velocity comparison in these two dataset and this why I want to prepare a unified coordinate system first so that NSIDC also becomes 90×90 (or any other way to make them comparable).

This is the velocity profile from both data set on 11-Jan-2017.

I have attached the velocity field from both dataset in this question (NSIDC_vs_ECCO.mat. This is the code for the plot –
for day = 1:31
figure(1), clf; clc;
t = tiledlayout(1,2); t.TileSpacing = ‘tight’; t.Padding = ‘compact’;

% NSIDC
nexttile
pcolor(longitude,latitude,seaice_NSIDC(:,:,day));
shading interp; hold on;
title(‘NSIDC Polar Pathfinder’,’FontSize’,F);

% ECCO
nexttile
pcolor(X,Y,seaice_ECCO(:,:,day)); colorbar; clim([0 0.55]);
shading interp; hold on;
title(‘ECCO sea ice velocity’,’FontSize’,F);
sgtitle([datestr(NSIDC_datetime(day), ‘yyyy-mm-dd’)],’FontSize’,F+5);
end
Can anyone please help me out with making a code that with calcuate the difference betwen the velocity vectors in both dataset?
As in, "NSIDC – ECCO" plot

Any feedback will be highly appreciated!! Thank you so much for your time.Hello all,
I am trying to solve a problem which has been solved previously, but I am still struglling to figure a way out. I want to unify the coordinate systems (polar stereographic coordinate) in the Arctic from two different dataset – a) NSIDC sea ice motion nand b) ECCO sea ice motion.

Now, the NSIDC one has a grid system of 361×361 but the ECCO has a 90×90 grid system. I am tryiong to make a point by poiny velocity comparison in these two dataset and this why I want to prepare a unified coordinate system first so that NSIDC also becomes 90×90 (or any other way to make them comparable).

This is the velocity profile from both data set on 11-Jan-2017.

I have attached the velocity field from both dataset in this question (NSIDC_vs_ECCO.mat. This is the code for the plot –
for day = 1:31
figure(1), clf; clc;
t = tiledlayout(1,2); t.TileSpacing = ‘tight’; t.Padding = ‘compact’;

% NSIDC
nexttile
pcolor(longitude,latitude,seaice_NSIDC(:,:,day));
shading interp; hold on;
title(‘NSIDC Polar Pathfinder’,’FontSize’,F);

% ECCO
nexttile
pcolor(X,Y,seaice_ECCO(:,:,day)); colorbar; clim([0 0.55]);
shading interp; hold on;
title(‘ECCO sea ice velocity’,’FontSize’,F);
sgtitle([datestr(NSIDC_datetime(day), ‘yyyy-mm-dd’)],’FontSize’,F+5);
end
Can anyone please help me out with making a code that with calcuate the difference betwen the velocity vectors in both dataset?
As in, "NSIDC – ECCO" plot

Any feedback will be highly appreciated!! Thank you so much for your time. Hello all,
I am trying to solve a problem which has been solved previously, but I am still struglling to figure a way out. I want to unify the coordinate systems (polar stereographic coordinate) in the Arctic from two different dataset – a) NSIDC sea ice motion nand b) ECCO sea ice motion.

Now, the NSIDC one has a grid system of 361×361 but the ECCO has a 90×90 grid system. I am tryiong to make a point by poiny velocity comparison in these two dataset and this why I want to prepare a unified coordinate system first so that NSIDC also becomes 90×90 (or any other way to make them comparable).

This is the velocity profile from both data set on 11-Jan-2017.

I have attached the velocity field from both dataset in this question (NSIDC_vs_ECCO.mat. This is the code for the plot –
for day = 1:31
figure(1), clf; clc;
t = tiledlayout(1,2); t.TileSpacing = ‘tight’; t.Padding = ‘compact’;

% NSIDC
nexttile
pcolor(longitude,latitude,seaice_NSIDC(:,:,day));
shading interp; hold on;
title(‘NSIDC Polar Pathfinder’,’FontSize’,F);

% ECCO
nexttile
pcolor(X,Y,seaice_ECCO(:,:,day)); colorbar; clim([0 0.55]);
shading interp; hold on;
title(‘ECCO sea ice velocity’,’FontSize’,F);
sgtitle([datestr(NSIDC_datetime(day), ‘yyyy-mm-dd’)],’FontSize’,F+5);
end
Can anyone please help me out with making a code that with calcuate the difference betwen the velocity vectors in both dataset?
As in, "NSIDC – ECCO" plot

Any feedback will be highly appreciated!! Thank you so much for your time. plot, plotting, grid, data, matrix, matrix array, matrix manipulation, arctic, differential equations MATLAB Answers — New Questions

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hi,

i need help on how to plot the coordinates stored in csv file in a 3D visual.

input CSV file:

expected visual:

the code im working on which is not giving th eexpected output:hi,

i need help on how to plot the coordinates stored in csv file in a 3D visual.

input CSV file:

expected visual:

the code im working on which is not giving th eexpected output: hi,

i need help on how to plot the coordinates stored in csv file in a 3D visual.

input CSV file:

expected visual:

the code im working on which is not giving th eexpected output: 3d, 3d plots, matlab, toolbox MATLAB Answers — New Questions

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Hello all,
A bit new to MATLAB but I have a matrix M that is [2×19]. In the first row are x-values derived from another function, but I want to return a new matrix that excludes the columns in M with an x-value larger than 4 in this case
100 0.909090909090909 1 1.01010101010101 1.13636363636364 1.29870129870130 1.50000000000000 1.51515151515152 1.81818181818182 2 2.27272727272727 2.50000000000000 3 3.03030303030303 3.50000000000000 4 4.50000000000000 4.54545454545455 5
18 1 0.909090909090909 0.900000000000000 0.800000000000000 0.700000000000000 0.606060606060606 0.600000000000000 0.500000000000000 0.454545454545455 0.400000000000000 0.363636363636364 0.303030303030303 0.300000000000000 0.259740259740260 0.227272727272727 0.202020202020202 0.200000000000000 0.181818181818182

I know it might seem like a simple question but I can’t seem to use the M = M(M(1,:)<=4, M(:,1) nonmenclature correctly. Would appreciate any helpHello all,
A bit new to MATLAB but I have a matrix M that is [2×19]. In the first row are x-values derived from another function, but I want to return a new matrix that excludes the columns in M with an x-value larger than 4 in this case
100 0.909090909090909 1 1.01010101010101 1.13636363636364 1.29870129870130 1.50000000000000 1.51515151515152 1.81818181818182 2 2.27272727272727 2.50000000000000 3 3.03030303030303 3.50000000000000 4 4.50000000000000 4.54545454545455 5
18 1 0.909090909090909 0.900000000000000 0.800000000000000 0.700000000000000 0.606060606060606 0.600000000000000 0.500000000000000 0.454545454545455 0.400000000000000 0.363636363636364 0.303030303030303 0.300000000000000 0.259740259740260 0.227272727272727 0.202020202020202 0.200000000000000 0.181818181818182

I know it might seem like a simple question but I can’t seem to use the M = M(M(1,:)<=4, M(:,1) nonmenclature correctly. Would appreciate any help Hello all,
A bit new to MATLAB but I have a matrix M that is [2×19]. In the first row are x-values derived from another function, but I want to return a new matrix that excludes the columns in M with an x-value larger than 4 in this case
100 0.909090909090909 1 1.01010101010101 1.13636363636364 1.29870129870130 1.50000000000000 1.51515151515152 1.81818181818182 2 2.27272727272727 2.50000000000000 3 3.03030303030303 3.50000000000000 4 4.50000000000000 4.54545454545455 5
18 1 0.909090909090909 0.900000000000000 0.800000000000000 0.700000000000000 0.606060606060606 0.600000000000000 0.500000000000000 0.454545454545455 0.400000000000000 0.363636363636364 0.303030303030303 0.300000000000000 0.259740259740260 0.227272727272727 0.202020202020202 0.200000000000000 0.181818181818182

I know it might seem like a simple question but I can’t seem to use the M = M(M(1,:)<=4, M(:,1) nonmenclature correctly. Would appreciate any help indexing, matrix manipulation MATLAB Answers — New Questions

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