Philipp Rudiger comments

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                                            Philipp Rudiger

Adds BeforeAfterSlider

A new issue about any suggestions for improvement would be good. Titles are definitely a good one.

Document `rasterize=True` together with `by`

Yes, you should be able to create nice examples at this point. The only problem now are the hover tooltips.

`robust` or `clim_percentile` option to get the 2nd / 98th percentile

I'm -1 on adding this anywhere. Taking percentiles of RGB values just does not make sense to me.

`robust` or `clim_percentile` option to get the 2nd / 98th percentile

Will have to look at it.

`robust` or `clim_percentile` option to get the 2nd / 98th percentile

Yeah, looking at this dataset the values are not R G B values they are raw reflectance values for different spectra from a satellite. Visualizing them using an RGB element...

`robust` or `clim_percentile` option to get the 2nd / 98th percentile

https://ecampusontario.pressbooks.pub/remotesensing/chapter/chapter-5-visualization-and-manipulation-of-satellite-images/

`robust` or `clim_percentile` option to get the 2nd / 98th percentile

Based on my reading of that the transformation is quite simple, you divide the red green blue values 2**8 and then cast to uint8.

`robust` or `clim_percentile` option to get the 2nd / 98th percentile

Alternatively you can also apply histogram equalization.

`robust` or `clim_percentile` option to get the 2nd / 98th percentile

Hmm, the division thing doesn't work. ```python from datashader.transfer_functions import eq_hist hv.RGB(eq_hist(da.data)[0].transpose([1, 2, 0])).opts(width=600) ``` ![bokeh_plot - 2024-03-02T112323 123](https://github.com/holoviz/hvplot/assets/1550771/4e79f380-8aa7-4665-bb98-95afdb3070cf)