Add continuous color scale to strip, box, and violin plots

Currently, strip/box/violin plots only work with categorical/discrete colormaps. This is sufficient for the violins and boxes but for the points that can be included in all three plots, it would be useful to color by a continuous feature and to add a colorbar to the plot. I looked around a bit and it seems like the go.Box constructor needs to have the coloraxis attrbute added to it (and I suspect something would need to be added to avoid coloring the boxes/violins in the same colors as the points, since they are colored the same for categorical variables).

The example below illustrates the issue by trying to color by the sepal_width variable:

import plotly.express as px

iris = px.data.iris()
px.strip(iris, 'species', 'sepal_length', 'sepal_width', stripmode='overlay')

The resulting plot is not meaningful since it colors a continuous variable with a discrete colormap.

So far, I have not found a prettier workaround that this (which is imperfect since it uses the legend instead of a colorbar):

import matplotlib as mpl

sw = iris['sepal_width'].sort_values()
sw_01 = (sw - sw.min()) / (sw.max() - sw.min())
sw_colors = {n: mpl.colors.rgb2hex(c) for n, c in zip(sw, mpl.cm.viridis(sw_01))}
px.strip(iris, 'species', 'sepal_length', 'sepal_width',
         stripmode='overlay', category_orders={'sepal_width': sw.to_list()[::-1]},
         color_discrete_map=sw_colors)

Commencez par px.strip et le constructeur go.Box, en vous concentrant sur la manière dont les graphiques strip, box et violin gèrent actuellement les couleurs catégorielles. Reproduisez l’exemple iris en utilisant sepal_width comme caractéristique de couleur, puis suivez la manière dont l’attribut coloraxis et la colorbar du graphique sont assemblés. C’est terminé lorsque la coloration continue et une colorbar fonctionnent pour les points inclus sans appliquer incorrectement les couleurs des points aux boîtes ou aux violons.