How to update large data plot (collected over time), with multiple data series in MATLAP App?

6 次查看(过去 30 天)
Hello,
So I have an app, where I am collecting external data from 16 different sources. This data is constantly being updated, and I would like to have some sort of plot to show this data over time.
In essence, I have 16 different data sets, each with a value, and a timestamp.I would like these data sets to be plotted as different data series. As the data is collected, I update my UI. Currently, when I am updating my UI, I am replotting the entire data set for each data set. This gets very slow at even small numbers of data (i.e. over 5 mintues of data collection, I need this to run for a week).
This is what I want my graph output to look like (here I only have 3 data series, for debugging and testing purposes).
This is how I am updating my UI (everytime a data value is collected):
...%Pseudo code
data = get_CV()
update_main_graph(measurement_graph,data)
...
%Update UI function
function update_main_graph(measurement_graph,data)
for ii = 1:numel(fieldnames(data)) %number of fields is the number of data sources = 16
%Plot each measurement on the graph
field_name = strcat("ring", int2str(ii));
if isempty(data.(field_name).timestamp) ~= 1
time_axis = datetime(data.(field_name).timestamp,'InputFormat','dd-MMM-yyyy HH:mm:ss');
data_axis = data.(field_name).analyzed;
scatter(measurement_graph, time_axis, data_axis);
hold(measurement_graph,'on')
pause(0.001)
end
end
hold(measurement_graph,'off')
end
As you can see, I am replotting ALL THE DATA each time.
I can't figure out a way just to plot the new collected data every time.
Does anyone have an idea how I can go about doing this? I would really like to have a visualization of the data while the data is collecting, but if this won't be feasible I'll make do.
Any advice is GREATLY appreciated!!

回答(1 个)

Mario Malic
Mario Malic 2020-10-21
Can you check if time_axis and data_axis contain all the data from the measurements? If yes, you can try this
scatter(measurement_graph, time_axis(end), data_axis(end)); % plots the last element
The issue might be with uifigure, since it can get slow. Try creating a figure() with axes() and do plotting on it, unfortunately it will be in a window outside the UIFigure from AppDesigner. Also 1 ms pause might be problematic with refreshing the window You can try as well
drawnow limitrate
  2 个评论
Mark Lepage
Mark Lepage 2020-10-21
编辑:Mark Lepage 2020-10-21
The problem with this approach is that currently, inside the for loop - the data is plotted in a different data series everytime the scatter() function is called. This is what I want, as I want each data set plotted in a different series.
However, with your method, each time the new last element is plotted, it creates a new data series...
What I need is a method to call on a specific data series and to continue to plot just on that data series, i.e. something like
for ii = 1:numel(fieldnames(data))
%Plot each measurement on the graph
field_name = strcat("ring", int2str(ii));
if isempty(data.(field_name).timestamp) ~= 1
time_axis = datetime(data.(field_name).timestamp,'InputFormat','dd-MMM-yyyy HH:mm:ss');
data_axis = data.(field_name).analyzed;
%% Here I call upon the data series, to continue plotting to it - which doesn't exist to my knowledge
scatter(measurement_graph, field_name_data_series, time_axis, data_axis);
hold(measurement_graph,'on')
end
Mario Malic
Mario Malic 2020-10-21
In scatter property list, there's XDataSource, XData, Y... and so on, maybe those properties would be of interest, combined with refreshdata.

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