graphviz

This package facilitates the creation and rendering of graph descriptions in the DOT language of the Graphviz graph drawing software (upstream 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 QtConsole.

Installation

This package runs under Python 3.8+, use pip to install:

$ pip install graphviz

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

Make sure that the directory containing the dot executable is on your systems’ PATH (sometimes done by the installer; setting PATH on Linux, Mac, and Windows).

Anaconda: see the conda-forge package conda-forge/python-graphviz (feedstock), which should automatically conda install conda-forge/graphviz (feedstock) as dependency.

Quickstart

Create a graph object:

>>> import graphviz  # doctest: +NO_EXE
>>> dot = graphviz.Digraph(comment='The Round Table')
>>> dot  #doctest: +ELLIPSIS
<graphviz.graphs.Digraph object at 0x...>

Add nodes and edges:

>>> dot.node('A', 'King Arthur')  # doctest: +NO_EXE
>>> 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 +NO_EXE
// 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 (skip/ignore any doctest_mark_exe() lines):

>>> doctest_mark_exe()  # skip this line

>>> dot.render('doctest-output/round-table.gv').replace('\\', '/')
'doctest-output/round-table.gv.pdf'

Save and render and view the result:

>>> doctest_mark_exe()  # skip this line

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

Caveat: Backslash-escapes and strings of the form <...> have a special meaning in the DOT language. If you need to render arbitrary strings (e.g. from user input), check the details in the user guide.

License

This package is distributed under the MIT license.

Development

Development documentation: https://graphviz.readthedocs.io/en/latest/development.html
Release process: https://graphviz.readthedocs.io/en/latest/release_process.html

Release files for graphviz 0.20.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for graphviz 0.20.3
File	Size	Uploaded
graphviz-0.20.3.zip	256.5 kB	Mar 21, 2024	Details

Built distribution (wheel)

Table of built distributions (wheels) for graphviz 0.20.3
File	Interpreter	ABI	Platform	Reset
graphviz-0.20.3-py3-none-any.whl 47.1 kB Mar 21, 2024	Python 3	none	any	Details

Total release size:303.6 kB

Release files / graphviz-0.20.3.zip

Download URL	graphviz-0.20.3.zip
Size	256.5 kB
Tags	Source
SHA-256 checksum How to use checksums	`09d6bc81e6a9fa392e7ba52135a9d49f1ed62526f96499325930e87ca1b5925d`
BLAKE2b-256 checksum How to use checksums	`fa835a40d19b8347f017e417710907f824915fba411a9befd092e52746b63e9f`
Upload date	Mar 21, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/5.0.0 CPython/3.12.2`

Release files / graphviz-0.20.3-py3-none-any.whl

Download URL	graphviz-0.20.3-py3-none-any.whl
Size	47.1 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`81f848f2904515d8cd359cc611faba817598d2feaac4027b266aa3eda7b3dde5`
BLAKE2b-256 checksum How to use checksums	`00bed59db2d1d52697c6adc9eacaf50e8965b6345cc143f671e1ed068818d5cf`
Upload date	Mar 21, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/5.0.0 CPython/3.12.2`