{
    "info": {
        "author": "Elmotec",
        "author_email": "elmotec@gmx.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Scientific/Engineering :: Visualization",
            "Topic :: Software Development",
            "Topic :: Utilities"
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        "description": ".. image:: https://img.shields.io/pypi/v/circlify.svg\n    :target: https://pypi.org/pypi/circlify/\n    :alt: PyPi version\n\n.. image:: https://img.shields.io/pypi/pyversions/circlify.svg\n    :target: https://pypi.org/pypi/circlify/\n    :alt: Python compatibility\n\n.. image:: https://img.shields.io/travis/elmotec/circlify.svg\n    :target: https://travis-ci.org/elmotec/circlify\n    :alt: Build Status\n\n.. image:: https://coveralls.io/repos/elmotec/circlify/badge.svg\n    :target: https://coveralls.io/r/elmotec/circlify\n    :alt: Coverage\n\n.. image:: https://img.shields.io/codacy/grade/474b0af6853a4c5f8f9214d3220571f9.svg\n    :target: https://www.codacy.com/app/elmotec/circlify/dashboard\n    :alt: Codacy\n\n\n========\ncirclify\n========\n\nPure Python implementation of circle packing layout algorithm.\n\nCircles are first arranged via a version of A1.0 by Huang et al (see https://home.mis.u-picardie.fr/~cli/Publis/circle.pdf for details) and then enclosed in a circle created around them using Matou\u00c5\u00a1ek-Sharir-Welzl algorithm used in d3js (see https://beta.observablehq.com/@mbostock/miniball, http://www.inf.ethz.ch/personal/emo/PublFiles/SubexLinProg_ALG16_96.pdf, and https://github.com/d3/d3-hierarchy/blob/master/src/pack/enclose.js)\n\nInstallation\n------------\n\nUsing pip:\n\n::\n\n    pip install circlify\n\nor using the source:\n\n:: \n\n    git clone git://github.com/elmotec/circlify.git\n    cd circlify\n    python setup.py install\n\n\nThe last step may require ``sudo`` if you don't have root access.\n\n\nUsage\n-----\n\nThe main function ``circlify`` is supported by a small data class ``circlify.Circle`` and takes 3 parameters:\n\n* A list of positive values sorted from largest to smallest.\n* (optional) A target enclosure where the packed circles should fit. It defaults to the unit circle (0, 0, 1).\n* (optional) A boolean indicating if the target enclosure should be appended to the output.\n\nThe function returns a list of ``circlify.Circle`` objects, each one corresponding\nto the coordinates and radius of cirlces proportional to the corresponding input value.\n\n\nExample\n-------\n\n.. code:: python\n\n  import circlify as circ\n\n  data = [19, 17, 13, 11, 7, 5, 3, 2, 1]\n  circles = circ.circlify(data, with_enclosure=True)\n\n\nThe variable `circles` contains (level 0 is the enclosure):\n\n.. code:: python\n\n    [\n        circ.Circle(x=0.0, y=0.0, r=1.0, level=0),\n        circ.Circle(x=0.09222041925800777, y=0.8617116738294696,\n                    r=0.09068624109026069),\n        circ.Circle(x=-0.40283175658099674, y=0.7512387781681531,\n                    r=0.12824971207048294),\n        circ.Circle(x=0.3252787490004198, y=0.7776370388468007,\n                    r=0.15707317711577193),\n        circ.Circle(x=0.48296614887228806, y=0.4541723195782383,\n                    r=0.20278059970175755),\n        circ.Circle(x=-0.6132109517981927, y=0.4490810687795324,\n                    r=0.23993324126007678),\n        circ.Circle(x=-0.045884607890591435, y=-0.6977206243364218,\n                    r=0.3007722353441051),\n        circ.Circle(x=-0.04661299415374866, y=0.4678014425767657,\n                    r=0.32697389223002427),\n        circ.Circle(x=-0.411432317820337, y=-0.13064957525245907,\n                    r=0.3739089508053733),\n        circ.Circle(x=0.35776879346704843, y=-0.13064957525245907,\n                    r=0.39529216048201216),\n    ]\n\n\nA simple matplotlib representation. See ``circlify.bubbles`` helper function (requires ``matplotlib``):\n\n.. figure:: https://github.com/elmotec/circlify/blob/master/static/Figure_3.png\n   :alt: visualization of circlify circle packing of first 9 prime numbers.\n\nStarting with version 0.10, circlify also handle hierarchical input so that:\n\n.. code:: python\n\n  import circlify as circ\n\n  data = [0.05, {'id': 'a2', 'datum': 0.05},\n          {'id': 'a0', 'datum': 0.8, 'children': [0.3, 0.2, 0.2, 0.1], },\n          {'id': 'a1', 'datum': 0.1, 'children':\n            [ {'id': 'a1_1', 'datum': 0.05}, {'datum': 0.04}, 0.01],},\n        ]\n  circles = circ.circlify(data, with_enclosure=True)\n\n\nreturns:\n\n.. code:: python\n\n    [\n        circ.Circle(level=0, r=1.0),\n        circ.Circle(x=-0.565803075997749, y=0.41097786651145324,\n                    r=0.18469903125906464),\n        circ.Circle(x=-0.3385727489559141, y=0.7022188441650276,\n                    r=0.18469903125906464, ex={'id': 'a2', 'datum': 0.05}),\n        circ.Circle(x=-0.7387961250362587, r=0.2612038749637415,\n                    ex={'id': 'a1', 'datum': 0.1,\n                        'children': [{'id': 'a1_1', 'datum': 0.05},\n                                     {'datum': 0.04},\n                                     {'id': 'a1_2', 'datum': 0.01}]}),\n        circ.Circle(x=0.2612038749637414, r=0.7387961250362586,\n                    ex={'id': 'a0', 'datum': 0.8,\n                        'children': [0.3, 0.2, 0.2, 0.1]}),\n        circ.Circle(level=2, x=-0.7567888163564136,\n                    y=0.14087823651338607, r=0.0616618704777984,\n                    ex={'id': 'a1_2', 'datum': 0.01}),\n        circ.Circle(level=2, x=-0.8766762590444033, y=0.0,\n                    r=0.1233237409555968,\n                    ex={'datum': 0.04}),\n        circ.Circle(level=2, ex={'id': 'a1_1', 'datum': 0.05},\n                    x=-0.6154723840806618, y=0.0, r=0.13788013400814464),\n        circ.Circle(level=2, x=0.6664952237042423,\n                    y=0.3369290873460549, r=0.2117455702848763),\n        circ.Circle(level=2, x=-0.11288314691830154,\n                    y=-0.230392881357073, r=0.2994534572692975),\n        circ.Circle(level=2, x=0.15631936804871832,\n                    y=0.30460197676548245, r=0.2994534572692975),\n        circ.Circle(level=2, x=0.5533243963620484,\n                    y=-0.230392881357073, r=0.36675408601105247),\n    ]\n\n\nA simple matplotlib representation. See ``circlify.bubbles`` helper function (requires ``matplotlib``):\n\n.. figure:: https://github.com/elmotec/circlify/blob/master/static/Figure_4.png\n   :alt: visualization of circlify nested circle packing for a hierarchical input.\n\n*Note* that the area of the circles are proportional to the values passed in input only if the circles are at the same hierarchical level.\nFor instance: circles *a1_1* and *a2* both have a value of 0.05, yet *a1_1* is smaller than *a2* because *a1_1* is fitted within its parent circle *a1* one level below the level of *a2*.\nIn other words, the level 1 circles *a1* and *a2* are both proportional to their respective values but *a1_1* is proportional to the values on level 2 witin *a1*.",
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