Please consider merging your work

[Paolo Cavallini]

With the main Dataplotly plugin. This has a number of advantages, both from the developers and the users point of view. Thanks.

[Andreas Janz]

DataPlotly focuses on vector attribute data, where the sample size is typically in the order of hundreds or thousands points to plot. For raster data we aim for millions of points. When I tried to use DataPlotly, the performance was way to slow for near real time plot updates. I therefor switched to PyQtGraph, which performs very well.

Perhaps I should choose a different name for the plugin (e.g. RasterDataPlots), because it is not really using Plotly anymore.

I think the focus on raster data justifies a separated plugin. In future versions the plugin will include plot types that highlight the spectral and temporal aspects of earth observation imagery data (e.g. Landsat and Sentinel satellite images). I fear that integrating into DataPlotly, would limit my vision of the plugin.

What do you think?

[ghtmtt]

Hi Andreas. If you tested (data)plotly and it is too slow with so many data, then I can understand your needs to fine another backend. Maybe the name is a little bit confusing :)

When I read raster dataplotly I ran into the code because I was sure I missed some API from plotly, but then I realized you used pyqtgraph.

[Paolo Cavallini]

Agreed, the name may be misleading. Perhaps better changing it now, as changing it afterwards is AFAIK impossible. Thanks.

[Andreas Janz]

Ok, I will change the name and upload again. Thanks.

[Andreas Janz]

I uploaded the plugin with new name: RasterDataPlotting