plot binary data over time to specific conditions

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

Answer 1

[Voss]

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')

[Phil K]

Thank you very much, I appreciate your solution and it works perfectly!!

[Voss]

You're welcome!