Comments (2)
Additionally, there is an error in the computation of the power balance for decimated data
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Hi Antoine,
the data.ntplot attribute is defined only for H5Data. Maybe you are using the fallback asciidata for some reason...
Moreover, you can look at the amount of data attached to the results plot in order to check whether it respects the given upper bound:
ax = plt.gca()
print([line.get_xdata().shape for line in ax.get_lines()])
As a last note, even if not competing in the realtime plotting category, matplotlib is pretty efficient to handle a reasonable number of axes with a large number of curves, each one with a large amount of points. Despite that, performance can still be improved using path_simplification, see
https://matplotlib.org/3.1.1/tutorials/introductory/usage.html#performance
Which backend are you using?
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