三列图表
Three column graphviz
如何重现该图:
使用 graphviz 节点?
我测试了几种排名组合,都没有成功。这是一个工作示例,距离 objective:
还很远
digraph cohort_flow_chart {
node [fontname = Helvetica, fontsize = 12, shape = box, style = rounded, width = 4]
a[label = '1,618,937 \n hospitalisations due to alcohol\n and substence use related disorders']
d[label = '1,882,629 \n hospitalisations due to\n schizophrenia']
f[label = '780,811\n hospitalisations due to\n mood disorders']
c[label = '114 million \n Brazilian cohort']
b[label = '2,250,454 \n hospitalisations due to\n diabetes mellitus']
e[label = '19,646,098\n hospitalisations due to\n cardiovascular diseases']
g[label = '278,540\n hospitalisations due to\n tuberculossis']
{rank = same a, b}
{rank = same c, d, e}
{rank = same f, g}
}
您需要边或 rank=source & rank=sink 来让您的节点进入不同的等级。
这将添加簇以获得 dot 以分别处理每一列:
digraph cohort_flow_chart {
node [fontname = Helvetica, fontsize = 12, shape = box, style = rounded, width = 4]
edge[style=invis]
a[label = "1,618,937 \n hospitalisations due to alcohol\n and substence use related disorders"]
d[label = "1,882,629 \n hospitalisations due to\n schizophrenia"]
f[label = "780,811\n hospitalisations due to\n mood disorders"]
c[label = "\n\n\n\n\n114 million \n Brazilian cohort\n\n\n\n\n\n" width=1.3]
b[label = "2,250,454 \n hospitalisations due to\n diabetes mellitus"]
e[label = "19,646,098\n hospitalisations due to\n cardiovascular diseases"]
g[label = "278,540\n hospitalisations due to\n tuberculossis"]
node[ style=invis label=""]
d1 d2
subgraph cluster_col1 { peripheries=0 a -> d -> f}
subgraph cluster_col2 { peripheries=0 d1 -> c -> d2 }
subgraph cluster_col3 { peripheries=0 b -> e -> g}
}
给予:
如何重现该图:
使用 graphviz 节点?
我测试了几种排名组合,都没有成功。这是一个工作示例,距离 objective:
还很远 digraph cohort_flow_chart {
node [fontname = Helvetica, fontsize = 12, shape = box, style = rounded, width = 4]
a[label = '1,618,937 \n hospitalisations due to alcohol\n and substence use related disorders']
d[label = '1,882,629 \n hospitalisations due to\n schizophrenia']
f[label = '780,811\n hospitalisations due to\n mood disorders']
c[label = '114 million \n Brazilian cohort']
b[label = '2,250,454 \n hospitalisations due to\n diabetes mellitus']
e[label = '19,646,098\n hospitalisations due to\n cardiovascular diseases']
g[label = '278,540\n hospitalisations due to\n tuberculossis']
{rank = same a, b}
{rank = same c, d, e}
{rank = same f, g}
}
您需要边或 rank=source & rank=sink 来让您的节点进入不同的等级。
这将添加簇以获得 dot 以分别处理每一列:
digraph cohort_flow_chart {
node [fontname = Helvetica, fontsize = 12, shape = box, style = rounded, width = 4]
edge[style=invis]
a[label = "1,618,937 \n hospitalisations due to alcohol\n and substence use related disorders"]
d[label = "1,882,629 \n hospitalisations due to\n schizophrenia"]
f[label = "780,811\n hospitalisations due to\n mood disorders"]
c[label = "\n\n\n\n\n114 million \n Brazilian cohort\n\n\n\n\n\n" width=1.3]
b[label = "2,250,454 \n hospitalisations due to\n diabetes mellitus"]
e[label = "19,646,098\n hospitalisations due to\n cardiovascular diseases"]
g[label = "278,540\n hospitalisations due to\n tuberculossis"]
node[ style=invis label=""]
d1 d2
subgraph cluster_col1 { peripheries=0 a -> d -> f}
subgraph cluster_col2 { peripheries=0 d1 -> c -> d2 }
subgraph cluster_col3 { peripheries=0 b -> e -> g}
}
给予: