On Thu, 9 Dec 2021, Neal Becker via lyx-users wrote:
I've had some issues similar to this, although none of my timings are as long as you describe. I often create plots with matplotlib. I believe that if you draw, say a scatterplot with 10^6 data points, the resulting pdf will contain 10^6 instructions to draw points. This may cause slow rendering (and printing!). The most straightforward fix I know of is don't do that, write code to resample the results to a smaller set. However, that requires work on my part.
Neal, The data used to create a plot should be appropriate to communicate what's important about the data. Recently I calculated monthly averages for river discharge and plotted those because the data set was very large and monthly averages were sufficient for that project. My current project focuses on a different river's discharge variability at multiple time scales (hourly, daily, monthly, seasonally, and annually) so I need all 813694 measurements over the 33 year period of record for an overall data distribution summary.
I've searched a couple of times for a software solution (say, a backend for mpl that would automatically simplify plots), but so far I haven't found anything. Similarly, it would be nice to have a solution that directly simplifies a pdf. I don't think this is the same thing as compressing a pdf (although I could be wrong).
I've no idea what 'simplifying' a plot would entail. But, since ghostscript reduced my plot's size by about 74% with no effect on resolution I'm satisfied with that. Regards, Rich -- lyx-users mailing list lyx-users@lists.lyx.org http://lists.lyx.org/mailman/listinfo/lyx-users
