在graphviz中水平组织盒子然后垂直组织盒子
有些方法可以在某些情况下水平显示框，而在其他情况下垂直显示框？ （见related question）。
以下是我得到的代码和输出：
码
/**
** Diagram representing the Simulator Engine
**/
digraph G {
graph [
rankdir = "TB"
];
/**
** The simulator engine rectangle
**/
subgraph cluster_simulator_engine {
style=filled;
color=lightgrey;
node [style=filled,color=white];
label = "Simulator Engine";
/**
** The first topology
**/
subgraph cluster_T1 {
color=white;
node [style=filled];
/**
** The n^th neuron
**/
subgraph cluster_T1_N3 {
color=lightgrey;
node [style=filled];
label = "Neuron n";
/**
** The n^th synapse
**/
"T1_N3_S3" [
style=filled
shape=box
color=white
label="Synapse n"
];
/**
** The second synapse
**/
"T1_N3_S2" [
style=filled
shape=box
color=white
label="Synapse 2"
];
/**
** The first synapse
**/
"T1_N3_S1" [
style=filled
shape=box
color=white
label="Synapse 1"
];
/*"T1_N1_S3" -> "T1_N1_S2" [style=invis];*/
}
/**
** The second neuron
**/
subgraph cluster_T1_N2 {
color=lightgrey;
node [style=filled];
label = "Neuron 2";
/**
** The n^th synapse
**/
"T1_N2_S3" [
style=filled
shape=box
color=white
label="Synapse n"
];
/**
** The second synapse
**/
"T1_N2_S2" [
style=filled
shape=box
color=white
label="Synapse 2"
];
/**
** The first synapse
**/
"T1_N2_S1" [
style=filled
shape=box
color=white
label="Synapse 1"
];
/*"T1_N1_S3" -> "T1_N1_S2" [style=invis];*/
}
/**
** The third neuron
**/
subgraph cluster_T1_N1 {
color=lightgrey;
node [style=filled];
label = "Neuron 1";
/**
** The n^th synapse
**/
"T1_N1_S3" [
style=filled
shape=box
color=white
label="Synapse n"
];
/**
** The second synapse
**/
"T1_N1_S2" [
style=filled
shape=box
color=white
label="Synapse 2"
];
/**
** The first synapse
**/
"T1_N1_S1" [
style=filled
shape=box
color=white
label="Synapse 1"
];
/*"T1_N1_S3" -> "T1_N1_S2" [style=invis];*/
}
label = "Topology 1";
}
/**
** The second topology
**/
subgraph cluster_T2 {
color=white;
node [style=filled];
/**
** The n^th neuron
**/
subgraph cluster_T2_N3 {
color=lightgrey;
node [style=filled];
label = "Neuron n";
/**
** The n^th synapse
**/
"T2_N3_S3" [
style=filled
shape=box
color=white
label="Synapse n"
];
/**
** The second synapse
**/
"T2_N3_S2" [
style=filled
shape=box
color=white
label="Synapse 2"
];
/**
** The first synapse
**/
"T2_N3_S1" [
style=filled
shape=box
color=white
label="Synapse 1"
];
/*"T1_N1_S3" -> "T1_N1_S2" [style=invis];*/
}
/**
** The second neuron
**/
subgraph cluster_T2_N2 {
color=lightgrey;
node [style=filled];
label = "Neuron 2";
/**
** The n^th synapse
**/
"T2_N2_S3" [
style=filled
shape=box
color=white
label="Synapse n"
];
/**
** The second synapse
**/
"T2_N2_S2" [
style=filled
shape=box
color=white
label="Synapse 2"
];
/**
** The first synapse
**/
"T2_N2_S1" [
style=filled
shape=box
color=white
label="Synapse 1"
];
/*"T1_N1_S3" -> "T1_N1_S2" [style=invis];*/
}
/**
** The third neuron
**/
subgraph cluster_T2_N1 {
color=lightgrey;
node [style=filled];
label = "Neuron 1";
/**
** The n^th synapse
**/
"T2_N1_S3" [
style=filled
shape=box
color=white
label="Synapse n"
];
/**
** The second synapse
**/
"T2_N1_S2" [
style=filled
shape=box
color=white
label="Synapse 2"
];
/**
** The first synapse
**/
"T2_N1_S1" [
style=filled
shape=box
color=white
label="Synapse 1"
];
/*"T1_N1_S3" -> "T1_N1_S2" [style=invis];*/
}
label = "Topology 2";
}
}
}
输出：
显然这太长了。我想要的是将每个突触移动到它自己的行中（我认为它在Graphviz-jargon中被称为'rank'）。显然，没有办法做到这一点，但有一个trick。因此，我采用上面相同的代码并引入隐形边缘，如此
码
/**
** Diagram representing the Simulator Engine
**/
digraph G {
graph [
rankdir = "TB"
];
/**
** The simulator engine rectangle
**/
subgraph cluster_simulator_engine {
style=filled;
color=lightgrey;
node [style=filled,color=white];
label = "Simulator Engine";
/**
** The first topology
**/
subgraph cluster_T1 {
color=white;
node [style=filled];
/**
** The n^th neuron
**/
subgraph cluster_T1_N3 {
color=lightgrey;
node [style=filled];
label = "Neuron n";
/**
** The n^th synapse
**/
"T1_N3_S3" [
style=filled
shape=box
color=white
label="Synapse n"
];
/**
** The second synapse
**/
"T1_N3_S2" [
style=filled
shape=box
color=white
label="Synapse 2"
];
/**
** The first synapse
**/
"T1_N3_S1" [
style=filled
shape=box
color=white
label="Synapse 1"
];
"T1_N3_S1" -> "T1_N3_S2" [style=invis];
"T1_N3_S2" -> "T1_N3_S3" [style=invis];
}
/**
** The second neuron
**/
subgraph cluster_T1_N2 {
color=lightgrey;
node [style=filled];
label = "Neuron 2";
/**
** The n^th synapse
**/
"T1_N2_S3" [
style=filled
shape=box
color=white
label="Synapse n"
];
/**
** The second synapse
**/
"T1_N2_S2" [
style=filled
shape=box
color=white
label="Synapse 2"
];
/**
** The first synapse
**/
"T1_N2_S1" [
style=filled
shape=box
color=white
label="Synapse 1"
];
"T1_N2_S2" -> "T1_N2_S3" [style=invis];
"T1_N2_S1" -> "T1_N2_S2" [style=invis];
}
/**
** The third neuron
**/
subgraph cluster_T1_N1 {
color=lightgrey;
node [style=filled];
label = "Neuron 1";
/**
** The n^th synapse
**/
"T1_N1_S3" [
style=filled
shape=box
color=white
label="Synapse n"
];
/**
** The second synapse
**/
"T1_N1_S2" [
style=filled
shape=box
color=white
label="Synapse 2"
];
/**
** The first synapse
**/
"T1_N1_S1" [
style=filled
shape=box
color=white
label="Synapse 1"
];
"T1_N1_S1" -> "T1_N1_S2" [style=invis];
"T1_N1_S2" -> "T1_N1_S3" [style=invis];
}
label = "Topology 1";
}
/**
** The second topology
**/
subgraph cluster_T2 {
color=white;
node [style=filled];
/**
** The n^th neuron
**/
subgraph cluster_T2_N3 {
color=lightgrey;
node [style=filled];
label = "Neuron n";
/**
** The n^th synapse
**/
"T2_N3_S3" [
style=filled
shape=box
color=white
label="Synapse n"
];
/**
** The second synapse
**/
"T2_N3_S2" [
style=filled
shape=box
color=white
label="Synapse 2"
];
/**
** The first synapse
**/
"T2_N3_S1" [
style=filled
shape=box
color=white
label="Synapse 1"
];
"T2_N3_S1" -> "T2_N3_S2" [style=invis];
"T2_N3_S2" -> "T2_N3_S3" [style=invis];
}
/**
** The second neuron
**/
subgraph cluster_T2_N2 {
color=lightgrey;
node [style=filled];
label = "Neuron 2";
/**
** The n^th synapse
**/
"T2_N2_S3" [
style=filled
shape=box
color=white
label="Synapse n"
];
/**
** The second synapse
**/
"T2_N2_S2" [
style=filled
shape=box
color=white
label="Synapse 2"
];
/**
** The first synapse
**/
"T2_N2_S1" [
style=filled
shape=box
color=white
label="Synapse 1"
];
"T2_N2_S1" -> "T2_N2_S2" [style=invis];
"T2_N2_S2" -> "T2_N2_S3" [style=invis];
}
/**
** The third neuron
**/
subgraph cluster_T2_N1 {
color=lightgrey;
node [style=filled];
label = "Neuron 1";
/**
** The n^th synapse
**/
"T2_N1_S3" [
style=filled
shape=box
color=white
label="Synapse n"
];
/**
** The second synapse
**/
"T2_N1_S2" [
style=filled
shape=box
color=white
label="Synapse 2"
];
/**
** The first synapse
**/
"T2_N1_S1" [
style=filled
shape=box
color=white
label="Synapse 1"
];
"T2_N1_S1" -> "T2_N1_S2" [style=invis];
"T2_N1_S2" -> "T2_N1_S3" [style=invis];
}
label = "Topology 2";
}
}
}
现在输出看起来更有吸引力。
输出：
但现在突触盒之间存在巨大差距。设置nodesep=0.1或len=0.1无效。任何人都可以告诉我如何解决这个问题，或者如何重新设计它。
注意：如果有人好奇我为什么从1到2到n，那是因为我打算在那里放一个省略号，但我不知道怎么做...当我到达那个桥时它
1 个答案:
答案 0 :(得分：8)
相关问题
最新问题
- 我写了这段代码，但我无法理解我的错误
- 我无法从一个代码实例的列表中删除 None 值，但我可以在另一个实例中。为什么它适用于一个细分市场而不适用于另一个细分市场？
- 是否有可能使 loadstring 不可能等于打印？卢阿
- java中的random.expovariate()
- Appscript 通过会议在 Google 日历中发送电子邮件和创建活动
- 为什么我的 Onclick 箭头功能在 React 中不起作用？
- 在此代码中是否有使用“this”的替代方法？
- 在 SQL Server 和 PostgreSQL 上查询，我如何从第一个表获得第二个表的可视化
- 每千个数字得到
- 更新了城市边界 KML 文件的来源？