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

Revisa las API de gráficos existentes que admiten facetas y la solución alternativa enlazada de Stack Overflow; después, compara el comportamiento solicitado con las opciones sharex y sharey de seaborn. El trabajo estará terminado cuando se admita de forma coherente una opción de ejes independientes claramente definida para los gráficos facet aplicables, con ticks y escalado por faceta según se describe.