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This is again a very nice idea. I think after refractoring the code a bit and separating the data evaluation from the plotting, it should be rather simple to add different types of visualization to the end of the evaluation.
Sometimes it is desirable to plot a scan sequence as .gif in order to track the evolution of the signal like in this example.
Especially when the changes are small and lines superimpose this would be a nice option that enhances clarity as shown here:
So far, I need to resort to an external tool but maybe there is a way to include that into the pyEvalData workflow.
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