plot binary data over time to specific conditions

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Hi there,
I have some log data of a battery pack and its processor. The processor gives me some binary data (is a condition TRUE) in form of a cell.
The first row represents the condition and each row after the first represents one log tick where I also have an "elapsedTime" vector containing the time i.e. the total log ticks are 19764, so also the elapsedTime vector is 19764x1.
Now I want to plot this battstatvector where on the y-axis I have my conditions (OCA, TCA, RSVD, etc.) and on the x-axis I want to plot the corresponding binary data over the elapsedTime.
All in all I want to plot something like this
where each 1 represents a dark color and a 0 represents a lighter color. Is this even possible in Matlab?
Best,
Philipp

采纳的回答

Voss
Voss 2024-2-20
编辑:Voss 2024-2-20
load('battstatvector.mat') % a mat file containing a cell array like yours
battstatvector
battstatvector = 835×11 cell array
{'OCA'} {'TCA'} {'RSVD'} {'OTA'} {'RCA'} {'RSVD'} {'TDA'} {'OTA'} {'RSVD'} {'TCA'} {'OCA'} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 1]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 1]} {[ 0]} {[ 0]} {[ 0]} {[ 1]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 1]} {[ 0]} {[ 0]} {[ 0]} {[ 1]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 1]} {[ 0]} {[ 0]} {[ 0]} {[ 1]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 1]} {[ 0]} {[ 0]} {[ 0]} {[ 1]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 1]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 1]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]} {[ 0]}
figure('Position',[10 10 800 200])
names = battstatvector(1,:);
data = cell2mat(battstatvector(2:end,:).');
im = image(data,'CDataMapping','scaled');
clim([0 1]);
light_blue = [171 185 212]/255;
dark_blue = [37 66 108]/255;
colormap([light_blue; dark_blue])
xticks([])
yticks([])
n = size(data,1);
text(ones(1,n),1:n,names,'Color','w','FontWeight','bold')

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