How to install Graphviz and get started tutorial under Windows

Download and installConfigure environment variablesintallConfigure environment variablesVerifyBasic drawing introductiongraphdigraphA complex exampleInteract with Python

Discovering good tools is like discovering a new world. Sometimes, we are curious about how those vivid illustrations in papers and various professional books are made. Without exception, they are the result of skillful use of drawing tools.

Download and install, configure environment variables

intall

Windows version download address: http://www.graphviz.org/Download_windows.php

Double-click the msi file, then keep clicking next (remember the installation path, as the path information will be used when configuring environment variables later). After the installation is complete, a shortcut will be created in the Windows start menu. The default shortcut is not placed on the desktop.

Configuring environment variables

Add the bin folder under the graphviz installation directory to the Path environment variable:

verify

Enter the Windows command line interface, enter dot -version , and press Enter. If the relevant version information of graphviz is displayed, the installation and configuration are successful.

Basic drawing tutorial

Open the graphviz editor gvedit under Windows, write the following dot script language, and save it as a gv format text file. Then enter the command line interface and use the dot command to convert the gv file into a png graphic file.

dot D:\test\1.gv -Tpng -o image.png

graph

Graph usage -- describing relationships

graph pic1 { 
 a -- b
 a -- b
 b -- a [color=blue]
} 

digraph

Use -> describe relationship

digraph pic2 { 
 a -> b
 a -> b
 b -> a [style=filled color=blue]
} 

A complex example

digraph startgame {
  label="Game resource update process"
  rankdir="TB"
  start[label="Start the game" shape=circle style=filled]
  ifwifi[label="Network environment determines whether it is WIFI" shape=diamond]
  needupdate[label="Whether there are resources that need to be updated" shape=diamond]
  startslientdl[label="Silent download" shape=box]
  enterhall[label="Enter the game lobby" shape=box]

  enterroom[label="Enter room" shape=box]
  resourceuptodate[label="Resource incomplete" shape=diamond]
  startplay[label="Normal game" shape=circle fillcolor=blue]
  warning[label="Remind players whether to update" shape=diamond]
  startdl[label="Enter the download interface" shape=box]
  //{rank=same; needupdate, enterhall}

  {shape=diamond; ifwifi, needupdate}

  start -> ifwifi
  ifwifi->needupdate[label="yes"]
  ifwifi->enterhall[label="no"]
  needupdate->startslientdl[label="yes"]
  startslientdl->enterhall
  needupdate->enterhall[label="no"]

  enterhall -> enterroom
  enterroom->resourceuptodate
  resourceuptodate -> warning[label="yes"]
  resourceuptodate -> startplay[label="no"]
  warning -> startdl[label="Confirm download"]
  warning -> enterhall[label="Cancel download"]
  startdl -> enterhall[label="Cancel download"]
  startdl -> startplay[label="Download completed"]
} 

Interacting with Python

Graphviz's powerful and convenient relationship diagram/flowchart drawing method easily reminds us of the display method of Decision Tree in machine learning. Fortunately, scikit-learn provides an interface for generating .dot files. The specific operations are as follows:

In the Python editing environment:

from sklearn.tree import export_graphviz # Imports a function # tree represents a trained model, that is, the fit(X_train, y_train) method of the DecisionTreeClassifier instance has been called export_graphviz(tree, out_file='tree.dot', 
    feature_names=['petal length', 'petal width'])

Enter the Windows command line interface, switch to the path where tree.dot is located, and execute

dot -Tpng tree.dot -o tree.png 

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