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

检查现有支持 facet 的绘图 API 以及链接的 Stack Overflow 变通方案，然后将所请求的行为与 seaborn 的 sharex 和 sharey 选项进行比较。当适用的 facet 绘图始终支持明确定义的独立坐标轴选项，并按描述提供每个 facet 的刻度和缩放时，工作即完成。