Reputation: 33
My ultimate aim is to write a python script that will automatically generate graphviz graphs based on some input data. However, I'm first focusing just on the graphviz.
This is currently what I have:
digraph G {
compound=true;
node [shape=box];
edge [dir=none];
subgraph cluster_overall{
subgraph cluster_top{
apple;
banana;
}
subgraph clustermsc{
basket1;
basket2;
label="Baskets";
}
subgraph cluster_bottom{
orange;
kiwi;
}
label="Test";
}
apple -> basket1;
banana -> basket2;
orange -> basket1;
kiwi -> basket2;
}
Current: https://i.sstatic.net/oLKn8.png
This is what I want my final graph to look like. With the number of fruits evenly distributed between the top and bottom section (based on the input date):
Final: https://i.sstatic.net/jb56Y.png
How do I structure the page to have 3 static, separate sections. Currently the fruit's placement constantly changes based on node they point to.
Please let me know if I wasn't clear in my explanation, I'll try better explaining it. Thanks. Don't have enough repuation to directly post images.
Upvotes: 1
Views: 3306
Reputation: 7659
In graphviz
, it is important to produce the hierarchy as the tool sees it, not reproducing the logic that is on your mind. simply reversing the edges from your baskets to the "lower" fruits does the job:
digraph G {
compound=true;
node [shape=box];
edge [dir=none];
subgraph cluster_overall{
subgraph cluster_top{
apple;
banana;
}
subgraph clustermsc{
basket1;
basket2;
label="Baskets";
}
subgraph cluster_bottom{
orange;
kiwi;
}
label="Test";
}
apple -> basket1;
banana -> basket2;
basket1 -> orange; // !!!
basket2-> kiwi; // !!!
}
gives you
If you want to force a certain order of items (such as apple being to the left of banana), you can do so by replacing your definition with
subgraph cluster_top{
{ rank = same; apple -> banana[ style = invis ] }
}
Upvotes: 2
Reputation: 4750
If I correctly understood you, you need to connect clusters with invisible edges to force their position.
Here I've added a dummy node into each cluster (because to connect clusters you have to connect nodes in these clusters and then add lhead and ltail attributes).
Then I've connected these clusters in the correct order with invisible edges. Also I've added an extremely big weight to these edges to give them priority over other edges.
Is that what you need?
digraph G {
compound=true;
node [shape=box];
edge [dir=none];
subgraph cluster_overall{
subgraph cluster_top{
dummy_top [shape=point width=0 style=invis]
apple;
banana;
}
subgraph clustermsc{
dummy_msc [shape=point width=0 style=invis]
basket1;
basket2;
label="Baskets";
}
subgraph cluster_bottom{
dummy_bottom [shape=point width=0 style=invis]
orange;
kiwi;
}
label="Test";
}
dummy_top -> dummy_msc [
style=invis
weight=100
lhead="clustermsc"
ltail="cluster_top"
]
dummy_msc -> dummy_bottom [
style=invis
weight=100
lhead="cluster_bottom"
ltail="clustermsc"
]
apple -> basket1;
banana -> basket2;
orange -> basket1;
kiwi -> basket2;
}
Upvotes: 0