> Grouping variable that will produce elements with different styles. Can have a numeric dtype but will always be treated as categorical.
> 将会产生具有不同风格的元素的变量进行分组。这些变量可以为数值型，但是通常会被当做类别变量处理。
`data`：DataFrame
> Tidy (“long-form”) dataframe where each column is a variable and each row is an observation.
> 长格式的DataFrame，每列是一个变量，每行是一个观察值。
`row, col`：names of variables in `data`, optional
`row, col`：`data`中的变量名，可选
> Categorical variables that will determine the faceting of the grid.
> 确定网格的分面的类别变量。
`col_wrap`：int, optional
`col_wrap`：int, 可选
> “Wrap” the column variable at this width, so that the column facets span multiple rows. Incompatible with a `row` facet.
> 以此宽度“包裹”列变量，以便列分面跨越多行。与`row`分面不兼容。
`row_order, col_order`：lists of strings, optional
`row_order, col_order`：字符串列表，可选
> Order to organize the rows and/or columns of the grid in, otherwise the orders are inferred from the data objects.
> 以此顺序组织网格的行和/或列，否则顺序将从数据对象中推断。
`palette`：palette name, list, or dict, optional
`palette`：色盘名，列表，或者字典，可选
> Colors to use for the different levels of the `hue` variable. Should be something that can be interpreted by [`color_palette()`](seaborn.color_palette.html#seaborn.color_palette "seaborn.color_palette"), or a dictionary mapping hue levels to matplotlib colors.
> Specified order for the appearance of the `hue` variable levels, otherwise they are determined from the data. Not relevant when the `hue` variable is numeric.
