Feauture Request: Dot and line plots

[Auerilas]

Not sure what they are officially called, but I like this style of plots showing the individual data with lines marking the centroid (mean/median) and the error (SD, SEM, etc).

anpp_grass.pdf

Is this a feature that could be added? The strip plot allows the dots, but the part for the lines doesn't exist so far as I could tell.

[jcmkk3]

I've seen those (not necessarily with the jittered dots) called TIE fighter plots.

This is not exactly what you're looking for, but maybe with some of these techniques you could get close. It is probably worth messing around with Est object.

import seaborn.objects as so
from seaborn import load_dataset

penguins = load_dataset("penguins")

(
    so.Plot(penguins, x="species", y="body_mass_g", color="sex")
    .add(so.Dot(alpha=0.5), so.Jitter(), so.Dodge())
    .add(so.Range(), so.Perc([20, 80]), so.Dodge())
    .add(so.Dash(), so.Perc([20, 50, 80]), so.Dodge())
    .label(x=None, y="Body Mass (g)", color=None)
)

[Auerilas]

This looks great! I haven't played with the new syntax yet, but the graph you produced here was considerably easier than my forcing it in matplotlib.

…

On Thu, Nov 3, 2022 at 5:54 PM Kyle Mitchell ***@***.***> wrote: I've seen those (not necessarily with the jittered dots) called TIE fighter plots. This is not exactly what you're looking for, but maybe with some of these techniques you could get close. It is probably worth messing around with Est <https://seaborn.pydata.org//generated/seaborn.objects.Est.html> object. import seaborn.objects as sofrom seaborn import load_dataset penguins = load_dataset("penguins") ( so.Plot(penguins, x="species", y="body_mass_g", color="sex") .add(so.Dot(alpha=0.5), so.Jitter(), so.Dodge()) .add(so.Range(), so.Perc([20, 80]), so.Dodge()) .add(so.Dash(), so.Perc([20, 50, 80]), so.Dodge()) .label(x=None, y="Body Mass (g)", color=None) ) [image: image] <https://user-images.githubusercontent.com/45919695/199850171-56d04d9d-83d7-4efa-9fb6-70ad27980737.png> — Reply to this email directly, view it on GitHub <#3123 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ACHQESRS4PNQXQXIB2KUFTTWGQ7DPANCNFSM6AAAAAARWR4TC4> . You are receiving this because you authored the thread.Message ID: ***@***.***>

[mwaskom]

And in the classic interface, it's not precisely what you are asking for, but this is basically a pointplot?

spec = dict(data=penguins, x="species", y="body_mass_g", hue="sex", dodge=.4)
sns.catplot(**spec, alpha=.25, legend=False)
sns.pointplot(**spec, capsize=.3, errorbar="sd", join=False)