loongson/pypi/: graphviz-0.8.4 metadata and description

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Simple Python interface for Graphviz

author Sebastian Bank
author_email sebastian.bank@uni-leipzig.de
classifiers
  • Development Status :: 4 - Beta
  • Intended Audience :: Developers
  • Intended Audience :: Science/Research
  • License :: OSI Approved :: MIT License
  • Operating System :: OS Independent
  • Programming Language :: Python :: 2
  • Programming Language :: Python :: 2.7
  • Programming Language :: Python :: 3
  • Programming Language :: Python :: 3.4
  • Programming Language :: Python :: 3.5
  • Programming Language :: Python :: 3.6
  • Programming Language :: Python :: 3.7
  • Topic :: Scientific/Engineering :: Visualization
keywords graph visualization dot render
license MIT
platform
  • any
provides_extras test
requires_dist
  • tox (>=3.0) ; extra == 'dev'
  • flake8 ; extra == 'dev'
  • pep8-naming ; extra == 'dev'
  • wheel ; extra == 'dev'
  • twine ; extra == 'dev'
  • sphinx (>=1.3) ; extra == 'docs'
  • sphinx-rtd-theme ; extra == 'docs'
  • mock (>=2) ; extra == 'test'
  • pytest (>=3.4) ; extra == 'test'
  • pytest-mock (>=1.8) ; extra == 'test'
  • pytest-cov ; extra == 'test'
requires_python >=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*

Because this project isn't in the mirror_whitelist, no releases from root/pypi are included.

File Tox results History
graphviz-0.8.4-py2.py3-none-any.whl
Size
16 KB
Type
Python Wheel
Python
2.7

Latest PyPI Version License Supported Python Versions Format Readthedocs

Travis Codecov

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) as well as the Jupyter Qt Console.

Installation

This package runs under Python 2.7, and 3.4+, use pip to install:

$ pip install graphviz

To render the generated DOT source code, you also need to install Graphviz (download page).

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.