igraph is a library for creating and manipulating graphs. It is intended to be as powerful (ie. fast) as possible to enable the analysis of large graphs.
This repository contains the source code to the Python interface of igraph.
You can learn more about python-igraph on our website.
$ sudo python setup.py install
See details in Installing Python Modules.
Install dependencies
$ sudo apt install build-essential python-dev libxml2 libxml2-dev zlib1g-dev
and then
$ pip install python-igraph
If you have downloaded the source code from Github and not PyPI, chances are that you have the latest development version, which might not be compatible with the latest release of the C core of igraph. Therefore, to install the bleeding edge version, you need to instruct the setup script to download the latest development version of the C core as well:
$ sudo python setup.py develop --c-core-url https://github.com/igraph/igraph/archive/master.tar.gz
This version of python-igraph is compatible with PyPy and
is regularly tested on PyPy with tox. However, the
PyPy version falls behind the CPython version in terms of performance; for
instance, running all the tests takes ~5 seconds on my machine with CPython and
~15 seconds with PyPy. This can probably be attributed to the need for
emulating CPython reference counting, and does not seem to be alleviated by the
JIT.
There are also some subtle differences between the CPython and PyPy versions:
-
Docstrings defined in the C source code are not visible from PyPy.
-
GraphBaseis hashable and iterable in PyPy but not in CPython. SinceGraphBaseis internal anyway, this is likely to stay this way.