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        "author": "Rodrigo Garcia",
        "author_email": "rgarcia@iecologia.unam.mx",
        "bugtrack_url": null,
        "classifiers": [
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Programming Language :: Python :: 3.5",
            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: Information Analysis"
        ],
        "description": "# Pyveplot\n\nA nice way of visualizing complex networks are [Hiveplots](http://www.hiveplot.com/).\n\n\nThis library uses [svgwrite](http://svgwrite.readthedocs.org/en/latest/classes/shapes.html) \nto programmatically create images like the one bellow, a visualization of\na Barabasi-Albert network, in which nodes are categorized by degree\ninto high, medium and low.\n\n![an example hive plot generated with this library](https://gitlab.com/rgarcia-herrera/pyveplot/raw/master/ba_hiveplot.png)\n\nHere's the code that generated the figure:\n\n~~~ python\n    from pyveplot import Hiveplot, Axis, Node\n    import networkx as nx\n    import random\n\n    c = ['#e41a1c', '#377eb8', '#4daf4a',\n         '#984ea3', '#ff7f00', '#ffff33',\n         '#a65628', '#f781bf', '#999999',]\n\n    # create hiveplot object\n    h = Hiveplot('ba_hiveplot.svg')\n\n    # create three axes, spaced at 120 degrees from each other\n    h.axes = [Axis(start=20, angle=0,\n                   stroke=random.choice(c), stroke_width=1.1),\n              Axis(start=20, angle=120,\n                   stroke=random.choice(c), stroke_width=1.1),\n              Axis(start=20, angle=120 + 120,\n                   stroke=random.choice(c), stroke_width=1.1)\n              ]\n\n    # create a random Barabasi-Albert network\n    g = nx.barabasi_albert_graph(100, 2)\n\n    # sort nodes by degree\n    k = list(nx.degree(g))\n    k.sort(key=lambda tup: tup[1])\n\n    # categorize them as high, medium and low degree\n    hi_deg = [v[0] for v in k if v[1] > 7]\n    md_deg = [v[0] for v in k if v[1] > 3 and v[1] <= 7]\n    lo_deg = [v[0] for v in k if v[1] <= 3]\n\n    # place these nodes into our three axes\n    for axis, nodes in zip(h.axes,\n                           [hi_deg, md_deg, lo_deg]):\n        circle_color = random.choice(c)\n        for v in nodes:\n            # create node object\n            node = Node(radius=g.degree(v),\n                        label=\"node %s k=%s\" % (v, g.degree(v)))\n            # add it to axis\n            axis.add_node(v, node)\n            # once it has x, y coordinates, add a circle\n            node.add_circle(fill=circle_color, stroke=circle_color,\n                            stroke_width=0.1, fill_opacity=0.7)\n            if axis.angle < 180:\n                orientation = -1\n                scale = 0.6\n            else:\n                orientation = 1\n                scale = 0.35\n            # also add a label\n            node.add_label(\"node %s k=%s\" % (v, g.degree(v)),\n                           angle=axis.angle + 90 * orientation,\n                           scale=scale)\n\n    # iterate through axes, from left to right\n    for n in range(-1, len(h.axes) - 1):\n        curve_color = random.choice(c)\n        # draw curves between nodes connected by edges in network\n        h.connect_axes(h.axes[n],\n                       h.axes[n+1],\n                       g.edges,\n                       stroke_width=0.5,\n                       stroke=curve_color)\n\n    # save output\n    h.save('ba_hiveplot.svg')\n~~~\n\n\n\n## Installation\n\nInstall library::\n\n    $ pip install pyveplot\n\n\n",
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