如何使表示二叉树的点图更加对称?

问题描述

在尝试使用Graphviz为二叉树创建图时，我遇到了很多问题.显然，对于足够高的树和足够大的nodesep，结果图倾向于不对称.例如，这是一个点源

While trying to use Graphviz to create graphs for binary trees I've encountered many times a problem; apparently, with a high enough tree and a large enough nodesep the resulting graph tends not to be symmetric. As an example, here's a dot source

digraph G {
    nodesep=0.8;
    ranksep=0.5;

    {node[style=invis,label=""]; cx_30;
    }

    {rank=same; 20; 45; cx_30}
    {rank=same; 10; 25;}
    {rank=same; 40; 50}

    30 -> 20;
    30 -> 45;
    20 -> 10;
    20 -> 25;

    45 -> 40;
    45 -> 50;

    {edge[style=invis];
                        //Distantiate nodes
                        30 -> cx_30;
                            20 -> cx_30 -> 45;

                        //Force ordering between childs
                        10:e -> 25:w;
                        40:e -> 50:w;
    }
}

及其相应的输出(与dot -Tpng file.dot > file.png编译)

with the corresponding output (compiled with dot -Tpng file.dot > file.png)

如您所见，45不在40和50之间.我可以在40和50之间使用不可见的节点来纠正这种情况，但是结果间距会太宽.

As you can see, 45 isn't placed in the middle between 40 and 50. I could use invisible nodes between 40 and 50 to correct the situation, but the resulting spacing would be too wide.

我做错什么了吗?有办法纠正这种情况吗?

Am I doing something wrong? Is there a way to correct the situation?

推荐答案

即使它对我没有直接作用，我还是通过汤姆·罗恩(Tom Ron)的建议来查看；提供的脚本对我不起作用，但是链接到该链接的常见问题解答帮助我解决了问题;由于间隔原因，我不想添加不可见节点，但是为不可见节点指定正确的width属性并因此缩放nodesep效果很好.

Even though it didn't directly work for me, I'm passing the advice of Tom Ron to look at this answer about binary trees; the provided script didn't work for me, but the faq entry linked there helped me solve the problem; I didn't want to add an invisibile node for spacing reasons, but specifying a correct width attribute for the invisible nodes and scaling nodesep consequently works just fine.

以下是更正的来源:

digraph G {
    nodesep=0.4; //was 0.8
    ranksep=0.5;

    {node[style=invis,label=""]; cx_30;
    }
    {node[style=invis, label="", width=.1]; ocx_45; ocx_20;
    }

    {rank=same; 20; 45; cx_30}
    {rank=same; 10; 25; ocx_20}
    {rank=same; 40; 50; ocx_45}

    30 -> 20;
    30 -> 45;
    20 -> 10;
    20 -> 25;

    45 -> 40;
    45 -> 50;

    {edge[style=invis];
                        //Distantiate nodes
                        30 -> cx_30;
                            20 -> cx_30 -> 45;

                        //Force ordering between children
                        45 -> ocx_45;
                            40 -> ocx_45 -> 50;
                        20 -> ocx_20;
                            10 -> ocx_20 -> 25;
    }
}

具有相应的输出

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