Table of Contents
Graphic visualization tool Graphviz Introduction
Installation
DOT Language
Practical case: Drawing a binary tree
Visualization API
Conclusion
Home Backend Development Golang Introduction to Graphviz, a graphical visualization tool

Introduction to Graphviz, a graphical visualization tool

Apr 07, 2024 pm 01:24 PM
python c++ graphviz Graphical visualization

Graphviz is a tool for visualizing graph structures, presenting abstract data through intuitive charts. It uses DOT language to describe charts, supports programmatic generation of charts, and provides clear analysis and understanding.

图解可视化工具 Graphviz 简介

Graphic visualization tool Graphviz Introduction

Graphviz is a powerful tool for visualizing graph structures. It can convert abstract data structures into easy-to-understand diagrams, making it easy to analyze and understand complex relationships.

Installation

Graphviz can be downloaded and installed from its official website: https://graphviz.gitlab.io/

After installation, you can pass the following command in the command line Use this:

dot -Tpng input.dot -o output.png
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This will generate a PNG file showing the chart defined in input.dot.

DOT Language

Graphviz uses the DOT language to describe graphs. The DOT language is easy to learn and you can use the following syntax:

graph graphname {
  // 节点的定义
  node1 [label="Node 1"];
  node2 [label="Node 2"];
  
  // 边的定义
  node1 -> node2;
}
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Practical case: Drawing a binary tree

The following is a DOT code example for drawing a binary tree:

graph binary_tree {
  node1 [label="Root"];
  node2 [label="Left"];
  node3 [label="Right"];
  
  node1 -> node2;
  node1 -> node3;
}
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Run the following command to generate PNG image of a binary tree:

dot -Tpng binary_tree.dot -o binary_tree.png
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Visualization API

In addition to the DOT language, Graphviz also provides an API for programmatically generating charts. This API can be used in various programming languages ​​such as Python, Java, C.

Conclusion

Graphviz is a powerful tool for presenting complex data structures in a visual way. It can significantly improve the understanding and analysis of complex relationships.

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