graph-tool
The python tools can be used to generate graph. Learn more about the different ways in which you can use the graph-tool in python.
graph-tool: PyDotPlus
PyDotPlus is an improved version of the old pydot project that provides a Python Interface to Graphviz’s Dot language.
Installation
For the latest stable version:
pip install pydotplus
For the development version:
pip install https://github.com/carlos-jenkins/pydotplus/archive/master.zip
Load graph as defined by a DOT file
The file is assumed to be in DOT format. It will be loaded, parsed and a Dot class will be returned, representing the graph. For example, a simple demo.dot:
digraph demo1{ a -> b -> c; c ->a; }
import pydotplus
graph_a = pydotplus.graph_from_dot_file('demo.dot') graph_a.write_svg('test.svg') # generate graph in svg.
You will get a svg(Scalable Vector Graphics) like this:
PyGraphviz
Get PyGraphviz from the Python Package Index at https://pypi.python.org/pypi/pygraphviz or install it with:
pip install pygraphviz
and an attempt will be made to find and install an appropriate version that matches your operating system and Python version.
You can install the development version (at github.com) with:
pip install git://github.com/pygraphviz/pygraphviz.git#egg=pygraphviz
Get PyGraphviz from the Python Package Index at https://pypi.python.org/pypi/pygraphviz
or install it with:
easy_install pygraphviz
and an attempt will be made to find and install an appropriate version that matches your operating system and Python version.
Load graph as defined by a DOT file
The file is assumed to be in DOT format. It will be loaded, parsed and a Dot class will be returned, representing the graph. For example,a simple demo.dot:
digraph demo1{ a -> b -> c; c ->a; }
Load it and draw it.
import pygraphviz as pgv
G = pgv.AGraph("demo.dot")
G.draw('test', format='svg', prog='dot')
You will get a svg(Scalable Vector Graphics) like this:
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