PyPI 官网下载 | igraph-0.1.4.tar.gz

igraph ====== An embeddable webGL graph visualization library. http://patrickfuller.github.io/igraph/ Examples ======== * [IPython notebook](http://patrickfuller.github.io/igraph/examples/ipython.html) * [les misérables](http://patrickfuller.github.io/igraph/examples/miserables.html) * [github connections](http://patrickfuller.github.io/igraph/examples/github.html) 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 [associated example](http://patrickfuller.github.io/igraph/examples/ipython.html) for more. Javascript ========== Start by downloading the minified javascript file: ``` wget https://raw.githubusercontent.com/patrickfuller/igraph/master/js/build/igraph.min.js ``` Include this file alongside [jQuery](http://jquery.com/) in your project, and then use with: ```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 ================= igraph takes input graph data structures as plain 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.