This issue is a request to the community to submit what their vision of plotly-resampler is, which features are still worth implementing?
Some features which I find worth pursuing:
- Summary dataset statistics of the respective view (initially in a table)
-> e.g. a Table with df.describe() for each series that is shown.
- Options to annotate your data
No idea how to implement this with plotly, would think that you would need to define your own OO structure to do so (which re-uses underlying annotations), but this would still imply a lot of logic and design decisions (e.g. loading annotations, saving annotations, ...)
- Other aggregation methods (e.g. using width of trace for uncertainty / downsampling rate)
just a gist, but using a plot-per-pixel ratio of 2 with LTTB seems a rather good IDEA to me.
Also, playing with the line-width seems a valid path to embark upon.
This issue is a request to the community to submit what their vision of plotly-resampler is, which features are still worth implementing?
Some features which I find worth pursuing:
-> e.g. a Table with df.describe() for each series that is shown.
No idea how to implement this with plotly, would think that you would need to define your own OO structure to do so (which re-uses underlying annotations), but this would still imply a lot of logic and design decisions (e.g. loading annotations, saving annotations, ...)
just a gist, but using a plot-per-pixel ratio of 2 with LTTB seems a rather good IDEA to me.
Also, playing with the line-width seems a valid path to embark upon.