Simple Python interface for Graphviz

Overview

Graphviz

Latest PyPI Version License Supported Python Versions Format

Travis Codecov Readthedocs stable Readthedocs latest

This package facilitates the creation and rendering of graph descriptions in the DOT language of the Graphviz graph drawing software (master repo) from Python.

Create a graph object, assemble the graph by adding nodes and edges, and retrieve its DOT source code string. Save the source code to a file and render it with the Graphviz installation of your system.

Use the view option/method to directly inspect the resulting (PDF, PNG, SVG, etc.) file with its default application. Graphs can also be rendered and displayed within Jupyter notebooks (formerly known as IPython notebooks, example, nbviewer) as well as the Jupyter Qt Console.

Links

Installation

This package runs under Python 3.6+, use pip to install:

$ pip install graphviz

To render the generated DOT source code, you also need to install Graphviz (download page, installation procedure for Windows, archived versions).

Make sure that the directory containing the dot executable is on your systems' path.

Quickstart

Create a graph object:

>>> from graphviz import Digraph

>>> dot = Digraph(comment='The Round Table')

>>> dot  #doctest: +ELLIPSIS
<graphviz.dot.Digraph object at 0x...>

Add nodes and edges:

>>> dot.node('A', 'King Arthur')
>>> dot.node('B', 'Sir Bedevere the Wise')
>>> dot.node('L', 'Sir Lancelot the Brave')

>>> dot.edges(['AB', 'AL'])
>>> dot.edge('B', 'L', constraint='false')

Check the generated source code:

>>> print(dot.source)  # doctest: +NORMALIZE_WHITESPACE
// The Round Table
digraph {
    A [label="King Arthur"]
    B [label="Sir Bedevere the Wise"]
    L [label="Sir Lancelot the Brave"]
    A -> B
    A -> L
    B -> L [constraint=false]
}

Save and render the source code, optionally view the result:

>>> dot.render('test-output/round-table.gv', view=True)  # doctest: +SKIP
'test-output/round-table.gv.pdf'

https://raw.github.com/xflr6/graphviz/master/docs/round-table.png

See also

License

This package is distributed under the MIT license.

OpenStats is a library built on top of streamlit that extracts data from the Github API and shows the main KPIs

Open Stats Discover and share the KPIs of your OpenSource project. OpenStats is a library built on top of streamlit that extracts data from the Github

Pere Miquel Brull 4 Apr 03, 2022
Example Code Notebooks for Data Visualization in Python

This repository contains sample code scripts for creating awesome data visualizations from scratch using different python libraries (such as matplotli

Javed Ali 27 Jan 04, 2023
Visualize tensors in a plain Python REPL using Sparklines

Visualize tensors in a plain Python REPL using Sparklines

Shawn Presser 43 Sep 03, 2022
又一个云探针

ServerStatus-Murasame 感谢ServerStatus-Hotaru,又一个云探针诞生了(大雾 本项目在ServerStatus-Hotaru的基础上使用fastapi重构了服务端,部分修改了客户端与前端 项目还在非常原始的阶段,可能存在严重的问题 演示站:https://stat

6 Oct 19, 2021
Mapomatic - Automatic mapping of compiled circuits to low-noise sub-graphs

mapomatic Automatic mapping of compiled circuits to low-noise sub-graphs Overvie

Qiskit Partners 27 Nov 06, 2022
PyFlow is a general purpose visual scripting framework for python

PyFlow is a general purpose visual scripting framework for python. State Base structure of program implemented, such things as packages disco

1.8k Jan 07, 2023
Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js

pivottablejs: the Python module Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js Installation pip install pivot

Nicolas Kruchten 512 Dec 26, 2022
A research of IT labor market based especially on hh.ru. Salaries, rate of technologies and etc.

hh_ru_research Проект реализован в учебных целях анализа рынка труда, в особенности по hh.ru Input data В качестве входных данных используются сериали

3 Sep 07, 2022
Matplotlib tutorial for beginner

matplotlib is probably the single most used Python package for 2D-graphics. It provides both a very quick way to visualize data from Python and publication-quality figures in many formats. We are goi

Nicolas P. Rougier 2.6k Dec 28, 2022
This is a Web scraping project using BeautifulSoup and Python to scrape basic information of all the Test matches played till Jan 2022.

Scraping-test-matches-data This is a Web scraping project using BeautifulSoup and Python to scrape basic information of all the Test matches played ti

Souradeep Banerjee 4 Oct 10, 2022
This tool is designed to help administrators get an overview of their Active Directory structure.

This tool is designed to help administrators get an overview of their Active Directory structure. In the group view you can see all elements of an AD (OU, USER, GROUPS, COMPUTERS etc.). In the user v

deexno 2 Oct 30, 2022
Jupyter Notebook extension leveraging pandas DataFrames by integrating DataTables and ChartJS.

Jupyter DataTables Jupyter Notebook extension to leverage pandas DataFrames by integrating DataTables JS. About Data scientists and in fact many devel

Marek Čermák 142 Dec 28, 2022
patchwork for matplotlib

patchworklib patchwork for matplotlib test code Preparation of example plots import seaborn as sns import numpy as np import pandas as pd #Bri

Mori Hideto 185 Jan 06, 2023
Extract data from ThousandEyes REST API and visualize it on your customized Grafana Dashboard.

ThousandEyes Grafana Dashboard Extract data from the ThousandEyes REST API and visualize it on your customized Grafana Dashboard. Deploy Grafana, Infl

Flo Pachinger 16 Nov 26, 2022
Visualization ideas for data science

Nuance I use Nuance to curate varied visualization thoughts during my data scientist career. It is not yet a package but a list of small ideas. Welcom

Li Jiangchun 16 Nov 03, 2022
An interactive UMAP visualization of the MNIST data set.

Code for an interactive UMAP visualization of the MNIST data set. Demo at https://grantcuster.github.io/umap-explorer/. You can read more about the de

grant 70 Dec 27, 2022
Investment and risk technologies maintained by Fortitudo Technologies.

Fortitudo Technologies Open Source This package allows you to freely explore open-source implementations of some of our fundamental technologies under

Fortitudo Technologies 11 Dec 14, 2022
view cool stats related to your discord account.

DiscoStats cool statistics generated using your discord data. How? DiscoStats is not a service that breaks the Discord Terms of Service or Community G

ibrahim hisham 5 Jun 02, 2022
3D-Lorenz-Attractor-simulation-with-python

3D-Lorenz-Attractor-simulation-with-python Animação 3D da trajetória do Atrator de Lorenz, implementada em Python usando o método de Runge-Kutta de 4ª

Hevenicio Silva 17 Dec 08, 2022
A small script written in Python3 that generates a visual representation of the Mandelbrot set.

Mandelbrot Set Generator A small script written in Python3 that generates a visual representation of the Mandelbrot set. Abstract The colors in the ou

1 Dec 28, 2021