In most cases, it is possible to use numpy or Python objects, but pandas objects are preferable because the associated names will be used to annotate the axes. Additionally, you can use Categorical types for the grouping variables to control the order of plot elements.
大多数情况下,您可以使用numpy的对象或者python的对象,但是用pandas对象更好,因为相关的but pandas objects are preferable because the associated names will be used to annotate the axes. 另外,为了控制绘图元素 您也可以可以用分类类型来组合不同的变量。
This function always treats one of the variables as categorical and draws data at ordinal positions (0, 1, … n) on the relevant axis, even when the data has a numeric or date type.
See the [tutorial](../tutorial/categorical.html#categorical-tutorial) for more information.