add simple independent axes for facet_row and facet_col

Right now it is possible to have independent axes labels/ticks for facets using this trick: https://stackoverflow.com/questions/60997189/how-can-i-make-faceted-plots-in-plotly-have-their-own-individual-yaxes-tick-labe

However, it is kind of hard to remember the 4-line solution by heart.

Is it possible to add something like independent_facet_y=True in the kwargs for plots that support facet? For plots where e.g., facet is age and y axis is height, it's very difficult to interpret data since the smaller values are basically invisible without doing this.

Ideally setting the flag would display axes ticks for each plot and scale the plots according to each facet's range.

For example, seaborn has sharex and sharey arguments that basically do this https://seaborn.pydata.org/generated/seaborn.catplot.html#seaborn-catplot

Examinez les API de tracé existantes prenant en charge les facettes ainsi que la solution de contournement Stack Overflow liée, puis comparez le comportement demandé avec les options sharex et sharey de seaborn. Le travail est terminé lorsqu’une option clairement définie pour des axes indépendants est prise en charge de manière cohérente pour les graphiques à facettes concernés, avec des graduations et une mise à l’échelle par facette comme décrit.