PlotLy lacks matplotlib’s projections function, which allows the user to add custom coordinates to their maps using transforms. In order to use solar maps in PlotLy and Dash, these transforms have to be applied (or faked!) elsewhere.
Notably:
- Axis limits must be given in pixels, based on desired limits in the map’s WCS
- Axis tick values must be given in pixels, based on desired limits in the map’s WCS
- Axis tick labels must be given in WCS
- Hovertext coordinate values must be given in WCS
This is implemented in fake_maps_plotly.py.
An example AIA map rendered as a PlotLy heatmap is shown below. The code that generates it as as follows:
foo=fake_map(aia_masked,binning=8)
foo.plot_fake_heatmap(log=True,zmin=1.5,zmax=2.5)
where the input is a Sunpy Map with off-limb pixels masked.