Ternary KDE estimation + show ternary plot markers on edges

[olgabot]

Hello,
Thanks for making this package, especially plotly_express which greatly simplify visualization tasks.

This issue is potentially related to #1700. I'd like to overlay a density plot and scatterplot in a ternary plot, like below:

(plot above from here

I'm plotting medians of gene expression across three species: mouse, lemur, and human. Here is the data I'd like to visualize, as a seaborn pairgrid:

The reason for this is because when I use px.scatter_ternary, then the markers in the corners basically don't show up, but I know there are many points there, and I'd like to see that there are many there in the corner.

import plotly.express as px

fig = px.scatter_ternary(df_nonzero_for_plotly, color='de_species_logfoldchanges',
                         color_discrete_map=palette.to_dict(),
                         a="lemur", b="mouse", c="human", 
                         hover_name="gene_name", opacity=0.5)
fig.show()

So here are my questions:

1. Is it possible to turn off clipping/masking of the markers so the edges become more obvious?
2. Is it possible to create a kernel density estimation (KDE) of the ternary density to overlay with a scatterplot?

Thank you!

[gvwilson]

Hi - we are trying to tidy up the stale issues and PRs in Plotly's public repositories so that we can focus on things that are still important to our community. Since this one has been sitting for several years, I'm going to close it; if it is still a concern, please add a comment letting us know what recent version of our software you've checked it with so that I can reopen it and add it to our backlog. Thanks for your help - @gvwilson