Figure-level interface for drawing relational plots onto a FacetGrid.
绘制相关关系图像到FacetGrid的图像级别接口。
This function provides access to several different axes-level functions that show the relationship between two variables with semantic mappings of subsets. The `kind` parameter selects the underlying axes-level function to use:
*[`scatterplot()`](seaborn.scatterplot.html#seaborn.scatterplot"seaborn.scatterplot")(with`kind="scatter"`; the default)
Extra keyword arguments are passed to the underlying function, so you should refer to the documentation for each to see kind-specific options.
额外的关键字参数会被传递给隐含的函数，因此使用时应当参考对应函数的文档去了解各种选项。
The relationship between `x` and `y` can be shown for different subsets of the data using the `hue`, `size`, and `style` parameters. These parameters control what visual semantics are used to identify the different subsets. It is possible to show up to three dimensions independently by using all three semantic types, but this style of plot can be hard to interpret and is often ineffective. Using redundant semantics (i.e. both `hue` and `style` for the same variable) can be helpful for making graphics more accessible.
After plotting, the [`FacetGrid`](seaborn.FacetGrid.html#seaborn.FacetGrid"seaborn.FacetGrid") with the plot is returned and can be used directly to tweak supporting plot details or add other layers.
Note that, unlike when using the underlying plotting functions directly, data must be passed in a long-form DataFrame with variables specified by passing strings to `x`, `y`, and other parameters.
> Grouping variable that will produce elements with different colors. Can be either categorical or numeric, although color mapping will behave differently in latter case.
> Grouping variable that will produce elements with different sizes. Can be either categorical or numeric, although size mapping will behave differently in latter case.
