Hi,
Assuming the time series data you want to plot to be in the format of the matrix where each row represents a variable over time, you can use a 'for' loop to iterate through the variables and another 'for' loop inside it to iterate through the time series data and plot with different thickness relative to the binary value of the data. Refer to the code snippet below:
% Define time series data
time = 1:10; % Example time points
% Define multiple variables (each row represents a variable over time)
variables = [
0 1 0 1 0 1 0 1 0 1;
1 0 1 0 1 0 1 0 1 0;
0 0 1 1 0 0 1 1 0 0;
% Add more variables as needed
];
variablesNames = ['var1'; 'var2'; 'var3'];
% Define line thicknesses
thinLine = 1;
thickLine = 3;
% Create the plot
figure;
hold on; % Hold on to plot multiple lines
% Loop through each variable
for i = 1:size(variables, 1)
% Extract the current variable's data
currentVar = variables(i, :);
% Loop through each time point
for t = 1:length(time) - 1
% Check the value of the variable at the current time point
if currentVar(t) == 0
% Plot a thin line segment
plot(time(t:t+1), [i i], 'b', 'LineWidth', thinLine);
else
% Plot a thick line segment
plot(time(t:t+1), [i i], 'b', 'LineWidth', thickLine);
end
end
end
% Set the y-axis limits to properly display all variables
ylim([0 size(variables, 1) + 1]);
% Set the y-axis ticks to label each variable
set(gca, 'YTick', 1:size(variables));
% Set the y-axis tick labels to the names of the variables
set(gca, 'YTickLabel', variablesNames);
% Label the axes
xlabel('Time');
ylabel('Variables');
% Turn off the hold
hold off;
For plotting a line segment with a specific thickness, we use the ''LineWidth' property of the 'plot' function. Refer to the following documentation link to read more about the function and the property:
