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[Feature] Apply histfunc to marginal histogram for 2d histogram and 2d contour #3521

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[Feature] Apply histfunc to marginal histogram for 2d histogram and 2d contour#3521

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@lucasjamar
lucasjamar
opened on Dec 17, 2021

Python: 3.8
Plotly: 5.4.0

For 2d histograms and contour plots, plotly always applies count for the marginal plots regardless of the z value and histfunc provided.
It would be awesome if z and the histfunc were provided to the marginal histograms. Example code:

Thanks for plotly!

import plotly.express as px
df = px.data.tips()

fig = px.density_heatmap(df, x="size", y="tip", z="total_bill", histfunc="sum", marginal_x="histogram", marginal_y="histogram")

image

Activity

  1. pcsee commented on Nov 21, 2022

    @pcsee
    pcsee
    on Nov 21, 2022

    Any update on this? It would be real great if sum feature is available

  2. gvwilson commented on Jul 5, 2024

    @gvwilson
    gvwilson
    on Jul 5, 2024
    Contributor

    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 a while, 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. Alternatively, if it's a request for tech support, please post in our community forum. Thank you - @gvwilson

  3. gvwilson
    closed this as completedon Jul 5, 2024
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