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 相关问题).
这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,但有一个技巧.因此,我采用上面相同的代码,并引入不可见的边缘
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:如果有人好奇为什么我从1到2变为n,那是因为我打算在那里放一个省略号,但我不知道如何做到这一点......当我到达那个时,越过那座桥.
这是ranksep你要找的-这行添加到该图形的属性:
ranksep = 0.1
在点中,这给出了所需的等级间隔,以英寸为单位.这是一个级别中节点底部与下一个节点顶部之间的最小垂直距离.