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

既存のファセット対応プロット API と、リンク先の Stack Overflow の回避策を確認し、要求された動作を seaborn の sharex オプションおよび sharey オプションと比較します。対象となるファセットプロットで、明確に定義された独立軸オプションが一貫してサポートされ、説明どおりファセットごとの目盛りとスケーリングが行われれば、作業は完了です。