流程图 Graphviz - Graph Visualization Software

时间:2023-03-09 18:10:35
流程图 Graphviz - Graph Visualization Software

0.目录

1.参考

https://www.processon.com/  应该值得一试

知乎 用什么软件画流程图?

9款国内外垂直领域的在线作图工具[可代替visio]

程序员必知的七个图形工具

说到流程图还是再次提及一下,我们之前说到的Graphviz 。

Graphviz (英文:Graph Visualization Software的缩写)是一个由AT&T实验室启动的开源工具包,用于绘制DOT语言脚本描述的图形。它也提供了供其它软件使用的库。

它的主要特点是代码生成图像,并且足够的简单。

2.Graphviz

(1)下载安装

http://graphviz.org/Download.php最下方 agree

Windows
Stable and development Windows Install packages

(2)添加环境变量

path添加: D:\Program Files (x86)\Graphviz2.38\bin

新开cmd:dot -?

(3)中文支持

在 Windows 上設定 Graphviz 中文字型

只要你用 UTF-8 的編碼來儲存描述關係圖的 dot 檔,Graphviz 也可以產生包含中文的關係圖。但 Windows 版的 Graphviz 似乎沒有設定好 fontconfig,因此會找不到中文字型,只要設定好 fontconfig 即可解決。依照預設安裝路徑,設定檔在 C:\Program Files\Graphviz 2.21\etc\fonts\fonts.conf,找到以下這行:

    <dir>#FONTDIR#</dir>
改成 Windows 字型檔的路徑: <dir>C:\WINDOWS\Fonts</dir>
Graphviz 就可以使用中文了!但注意目前似乎只能輸入英文的字型名稱,範例如下: digraph g {
node[fontname = "PMingLiu"];
"中文" -> "英文";
}

(4) 可以运行gvedit.exe写入代码,f5直接预览效果

(5) python库,其实用处不大

https://pypi.python.org/pypi/graphviz

3.参考文档

官网: http://graphviz.org/Documentation.php

使用DOT语言和Graphviz绘图(翻译)

一次性批量定义属性

    node [color=Red,fontname=Courier,shape=box] //All nodes will this shape and colour
edge [color=Blue, style=dashed] //All the lines look like this

标 题: 【合集】dot language Graphviz流程图的问题

  (连线连在角上)

  portPos headport tailport 这几个属性

画图神器--graphviz

digraph login3times{

    edge[fontname="Microsoft YaHei"]
node[shape=box, fontname="Microsoft YaHei" size="20,20"]
fontname="Microsoft YaHei"
label="三次登录流程图"

4.语法注意事项

(1)框图为node,默认形状 ellipse 椭圆形, shape = box 长方形,diamond 菱形,circle 圆形

(2)连线为edge,箭头方向 [dir=forward, back, both, or none]

(3)在有必要的时候加双引号,如:“do sth”, "func()"

(4)注释为 //, 或 /*   */

(5)不方便之处:

A -> B -> C ->D[label=to] ,则会在三条连线上都添加 to 字样

对比:

A -> B

B -> C[label=to]

C ->D

5.综合应用

//G:\pydata\pycode>dot eg.dot -Tpng -o eg.png
digraph graphname
{
//rankdir=LR
node[fontname = "simsun"]
fontname="Microsoft YaHei"
label="代理IP获取流程图" START[label="入口get_mimvp()" shape=box]
END[label=出口ip_port_type_tuple_list, shape=box]
JUDGE[label="feature_vectors == []" color=Blue, fontsize=24, shape=diamond] START -> JUDGE
{rank=same; "extract_features()", "load_mimvp()"}
JUDGE -> "extract_features()"[label=True tailport=w]// headport=n]
"extract_features()"[style=filled, fillcolor=orange]
JUDGE -> "load_mimvp()"[label=False tailport=s headport=n] "extract_features()" -> "load_mimvp()"[label=return, fontcolor=red, dir=forward] //dir=forward, back, both, or none port_src_list[style=filled, fillcolor=yellow]
port_list[style=filled, fillcolor=green] "load_mimvp()" -> {ip_list, type_list, port_src_list}
port_src_list -> port_list
{rank=same; ip_list, type_list, port_list} -> "merge_result" -> END subgraph cluster1
{
label=子图1_特征提取 "invoke extract_features()"[style=filled, fillcolor=orange]
judge[label="filepath is not None" color=Blue, shape=diamond]
feature_vectors[style=filled, fillcolor=red] "invoke extract_features()" -> judge
judge -> "load_images_from_filepath()"[label=True tailport=w]
judge -> "load_images_from_src_list()"[label=False tailport=s]
{rank=same; "load_images_from_filepath()", "load_images_from_src_list()"}
"load_images_from_filepath()" -> "split_image()"[label=img_list]
"load_images_from_src_list()" -> "split_image()"[label=img_list]
"split_image()" -> "build_vector()"[label="split_imgs"]
"build_vector()" -> feature_vectors[label="item = {input: vector}"] // -> "load_mimvp()"
} subgraph cluster2
{
label=子图2_余弦相似度比较
port_src[style=filled, fillcolor=yellow]
port[style=filled, fillcolor=green] port_src -> "get_port()" -> "load_image_from_src()" -> "invoke split_image()" -> "invoke build_vector()"
"invoke build_vector()" -> "cos_similarity()"[label="vector\nfeature_vectors", fontcolor=red]
"cos_similarity()" -> port
}
}

代码另存为eg.dot, 编码utf-8

在命令行中运行:G:\pydata\pycode>dot eg.dot -Tpng -o eg.png

流程图 Graphviz - Graph Visualization Software