Skip to main content

View graph data structures in the IPython notebook.

Reason this release was yanked:

python-igraph was renamed to igraph; deleting old packages to avoid confusion

Project description

igraph
======

An embeddable webGL graph visualization library.
http://patrickfuller.github.io/igraph/

Examples
========

* [les misérables](http://patrickfuller.github.io/igraph/examples/miserables.html)
* [github connections](http://patrickfuller.github.io/igraph/examples/github.html)
* [IPython notebook](http://patrickfuller.github.io/igraph/examples/ipython.html)

Usage
=====

```javascript
igraph.create('my-selector');
igraph.draw(myGraph);
```

where `'my-selector'` is where you want to place igraph, and `myGraph` is a plain ol' object. See below for more on the object structure, or just check out the included example. The `igraph.create()` method takes a few optional parameters, specifying the sizes and colors of nodes, as well as force-directed optimization.

```javascript
options = {
directed: true, // Toggles edge arrows
nodeSize: 2.0, // Default node size
edgeSize: 0.25, // Edge connection diameter
arrowSize: 1.0, // If drawn, edge arrow size
defaultNodeColor: 0xaaaaaa, // Color for nodes without a "color" property
defaultEdgeColor: 0x777777, // Color for edges without a "color" property
shader: "toon", // three.js shader to use, can be "toon", "basic", "phong", or "lambert"
runOptimization: true // Runs a force-directed-layout algorithm on the graph
};
```

Graph Data Format
=================

The viewers take input graph data structures as javascript objects. Here's the most boring graph in the world:

```javascript
{
nodes: {
jane: { },
bob: { },
mike: { },
sally: { }
},
edges: [
{ source: "jane", target: "bob" },
{ source: "bob", target: "mike" },
{ source: "mike", target: "sally" }
]
}
```

Nodes require no information outside of their keys. However, there are useful
optional parameters that can be specified.

```javascript
{
color: 0xffffff, // Color for this node
size: 1.0, // Scaling factor for this node's size
location: [0.0, 0.0, 0.0] // Starting location of node. Useful for pre-rendering.
}
```

By default, the algorithm runs a force-directed layout on the graph. When
enabled, the "location" field is optional. However, for larger graphs, you will
want to disable this feature and pre-render the locations. Use the associated
Python library (`igraph.generate`) to do so.

IPython
=======

The IPython notebook is an open-source tool poised to replace MATLAB in many
applications. As a scientist of sorts, I'm all about it. Therefore, I made
handles to use igraph with the notebook. Install through pip:

```
pip install igraph
```

Open a new notebook and test the setup by typing:

```python
import igraph
igraph.draw([(1, 2), (2, 3), (3, 4), (4, 1), (4, 5), (5, 2)])
```

into a notebook cell. You should get a paddlewheel graph as an output. You can
use this in conjunction with other code for educational purposes (try generating
a red-black tree!). There are three commands and some optional parameters to
check out. Read the docstrings and check out the example for more.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

igraph-0.1.0.tar.gz (121.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

igraph-0.1.0-py2.py3-none-any.whl (122.6 kB view details)

Uploaded Python 2Python 3

File details

Details for the file igraph-0.1.0.tar.gz.

File metadata

  • Download URL: igraph-0.1.0.tar.gz
  • Upload date:
  • Size: 121.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for igraph-0.1.0.tar.gz
Algorithm Hash digest
SHA256 f4b708076689d76634e62d7dede41b47862452e497f328f81813b002ff13ee8e
MD5 1e5db0c9148ef63abff893be1ee4d299
BLAKE2b-256 41f34688d463e2ffddd188149da514bd94015711412bad0cc59e02f6dab7172e

See more details on using hashes here.

File details

Details for the file igraph-0.1.0-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for igraph-0.1.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 45f1bc5bfa88d3524b19af7515538cd59025640b1ff9c576c454e1b569c15961
MD5 c1dffb9e025d85cddc8ec88084cf09a6
BLAKE2b-256 cee48ee44a308215a3428dd42ffc915c3f1e4a562e071cb819dddd187d52a9eb

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page