1. 系列的数量及其显示顺序取决于用户的操作和他的数据.

可以通过更改ObservableList 您传递给图表的 setData() 调用.当图表侦听列表的更改时，随着支持列表的更改，图表会自动更新以反映更改.

The number of series displayed and the display order can be modified by changing the ObservableList of series which you passed to the chart's setData() call. As the chart listens for changes to the list, as the backing list changes, the chart is automatically updated to reflect the changes.

每个类别都有自己的风格，例如.类别 A 显示为虚线，类别 B 显示为虚线.

each category has its own style, eg. category A is shown as a dotted line and category B is shown as a dashed line.

这可以通过确定图表中的哪个系列属于哪个类别来完成，通过节点lookupAll(cssStyleSelector) 函数并将新的自定义样式应用于与类别样式匹配的系列.通过设置 -fx-stroke-dash-array css 属性，可以通过 css 设置虚线和虚线的样式.或者，您可以通过修改从 getStyleClass().

This can done by determining which series in the chart is in which category, looking up all nodes related to the series via the node lookupAll(cssStyleSelector) function and applying a new custom style to the series which matches the style for the category. Dotted and dashed lines can be styled via css by setting the -fx-stroke-dash-array css property. Alternately, rather than a lookup you can dynamically change the css styleclass assigned to nodes via modifying the ObservableList returned from getStyleClass().

系列的样式也取决于数据值，例如.平均值上方的系列线为红色，下方为蓝色.

style of series depends on data values too, eg. series line over the average is red, and below is blue.

这与点划线的显示方式类似，但线条的颜色由 -fx-stroke css 属性修改，修改取决于计算的平均值系列.

This is similar to how the dotted and dashed lines are displayed, but instead the color of the lines are modifed by the -fx-stroke css property and the modification depends on the average values calculated for the series.

为了演示以上几点，我在这里为这个问题创建了一个示例解决方案:https://gist.github.com/2129306

To demonstrate the above points, I created a sample solution for this question here: https://gist.github.com/2129306