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circlify-0.9.3
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مشاهده بیشترتوضیحات
Circle packing algorithm for Python
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | circlify-0.9.3 |
| نام | circlify |
| نسخه کتابخانه | 0.9.3 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Elmotec |
| ایمیل نویسنده | elmotec@gmx.com |
| آدرس صفحه اصلی | http://github.com/elmotec/circlify |
| آدرس اینترنتی | https://pypi.org/project/circlify/ |
| مجوز | MIT |
.. image:: https://img.shields.io/pypi/v/circlify.svg
:target: https://pypi.org/pypi/circlify/
:alt: PyPi version
.. image:: https://img.shields.io/pypi/pyversions/circlify.svg
:target: https://pypi.org/pypi/circlify/
:alt: Python compatibility
.. image:: https://img.shields.io/github/workflow/status/elmotec/circlify/Python%20package/main
:target: https://github.com/elmotec/circlify/actions
:alt: GitHub Workflow Status (branch)
.. image:: https://codecov.io/gh/elmotec/circlify/branch/master/graph/badge.svg?token=PSE4TFPGTV
:target: https://codecov.io/gh/elmotec/circlify
:alt: Codecov
========
circlify
========
Pure Python implementation of a circle packing layout algorithm, inspired by `d3js <https://observablehq.com/@d3/zoomable-circle-packing>`_ and `squarify <https://github.com/laserson/squarify>`_.
Circles are first arranged with a euristic inspired by the A1.0 of [Huang-2006]_, then enclosed in a circle created around them using [MSW-1996]_ algorithm used in [Bostock-2017]_. I hope to implement A1.5 at some point in the future but the results are good enough for my use case.
Installation
------------
Using pip:
::
pip install circlify
or using the source:
::
git clone git://github.com/elmotec/circlify.git
cd circlify
python setup.py install
The last step may require ``sudo`` if you don't have root access.
Usage
-----
The main function ``circlify`` is supported by a small data class ``circlify.Circle`` and takes 3 parameters:
* A list of positive values sorted from largest to smallest.
* (optional) A target enclosure where the packed circles should fit. It defaults to the unit circle (0, 0, 1).
* (optional) A boolean indicating if the target enclosure should be appended to the output.
The function returns a list of ``circlify.Circle`` whose *area* is proportional to the corresponding input value.
Example
^^^^^^^
.. code:: python
>>> from pprint import pprint as pp
>>> import circlify as circ
>>> circles = circ.circlify([19, 17, 13, 11, 7, 5, 3, 2, 1], show_enclosure=True)
>>> pp(circles)
[Circle(x=0.0, y=0.0, r=1.0, level=0, ex=None),
Circle(x=-0.633232604611031, y=-0.47732413442115296, r=0.09460444572843042, level=1, ex={'datum': 1}),
Circle(x=-0.7720311587589236, y=0.19946176418549022, r=0.13379089020993573, level=1, ex={'datum': 2}),
Circle(x=-0.43168871955473165, y=-0.6391381648617572, r=0.16385970662353394, level=1, ex={'datum': 3}),
Circle(x=0.595447603036083, y=0.5168251295666467, r=0.21154197162246005, level=1, ex={'datum': 5}),
Circle(x=-0.5480911056188739, y=0.5115139053491098, r=0.2502998363185337, level=1, ex={'datum': 7}),
Circle(x=0.043747233552068686, y=-0.6848366902134195, r=0.31376744998074435, level=1, ex={'datum': 11}),
Circle(x=0.04298737651230445, y=0.5310431146935967, r=0.34110117996070605, level=1, ex={'datum': 13}),
Circle(x=-0.3375943908160698, y=-0.09326467617622711, r=0.39006412239133215, level=1, ex={'datum': 17}),
Circle(x=0.46484095011516874, y=-0.09326467617622711, r=0.4123712185399064, level=1, ex={'datum': 19})]
A simple matplotlib representation. See ``circlify.bubbles`` helper function (requires ``matplotlib``):
.. figure:: https://github.com/elmotec/circlify/blob/main/static/Figure_3.png
:alt: visualization of circlify circle packing of first 9 prime numbers.
Hierarchical circle packing
---------------------------
Starting with version 0.10, circlify also handle hierarchical input so that:
.. code:: python
>>> from pprint import pprint as pp
>>> import circlify as circ
>>> data = [
0.05, {'id': 'a2', 'datum': 0.05},
{'id': 'a0', 'datum': 0.8, 'children': [0.3, 0.2, 0.2, 0.1], },
{'id': 'a1', 'datum': 0.1, 'children': [
{'id': 'a1_1', 'datum': 0.05}, {'datum': 0.04}, 0.01],
},
]
>>> circles = circ.circlify(data, show_enclosure=True)
>>> pp(circles)
[Circle(x=0.0, y=0.0, r=1.0, level=0, ex=None),
Circle(x=-0.5658030759977484, y=0.4109778665114514, r=0.18469903125906464, level=1, ex={'datum': 0.05}),
Circle(x=-0.5658030759977484, y=-0.4109778665114514, r=0.18469903125906464, level=1, ex={'id': 'a2', 'datum': 0.05}),
Circle(x=-0.7387961250362587, y=0.0, r=0.2612038749637415, level=1, ex={'id': 'a1', 'datum': 0.1, 'children': [{'id': 'a1_1', 'datum': 0.05}, {'datum': 0.04}, 0.01]}),
Circle(x=0.2612038749637414, y=0.0, r=0.7387961250362586, level=1, ex={'id': 'a0', 'datum': 0.8, 'children': [0.3, 0.2, 0.2, 0.1]}),
Circle(x=-0.7567888163564135, y=0.1408782365133844, r=0.0616618704777984, level=2, ex={'datum': 0.01}),
Circle(x=-0.8766762590444033, y=0.0, r=0.1233237409555968, level=2, ex={'datum': 0.04}),
Circle(x=-0.6154723840806618, y=0.0, r=0.13788013400814464, level=2, ex={'id': 'a1_1', 'datum': 0.05}),
Circle(x=0.6664952237042414, y=0.33692908734605553, r=0.21174557028487648, level=2, ex={'datum': 0.1}),
Circle(x=-0.1128831469183017, y=-0.23039288135707192, r=0.29945345726929773, level=2, ex={'datum': 0.2}),
Circle(x=0.1563193680487183, y=0.304601976765483, r=0.29945345726929773, level=2, ex={'datum': 0.2}),
Circle(x=0.5533243963620487, y=-0.23039288135707192, r=0.3667540860110527, level=2, ex={'datum': 0.3})]
A simple matplotlib representation. See ``circlify.bubbles`` helper function (requires ``matplotlib``):
.. figure:: https://github.com/elmotec/circlify/blob/main/static/Figure_4.png
:alt: visualization of circlify nested circle packing for a hierarchical input.
Relative size of circles in hierachy
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
The area of the circles are proportional to the values passed in input only if the circles are at the same hierarchical level.
For 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*.
In 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*.
Invalid input
^^^^^^^^^^^^^
A warning is issued if a key is not understood. The check is disabled if the program is running with -O or -OO option. One can also disable the warning with the `regular logging filters <https://docs.python.org/3/library/logging.html#filter-objects>`_.
For instance:
.. code:: python
>>> import logging
>>> import sys
>>> import circlify as circ
>>> data = [ 0.05, {'id': 'a2', 'datum': 0.05, "bogus": {}}]
>>> logging.getLogger().addHandler(logging.StreamHandler(sys.stdout))
>>> _ = circ.circlify(data)
unexpected 'bogus' in input is ignored # not issued if __debug__ is false
.. [Huang-2006]
WenQi HUANG, Yu LI, ChuMin LI, RuChu XU, New Heuristics for Packing Unequal Circles into a Circular Container, https://home.mis.u-picardie.fr/~cli/Publis/circle.pdf
.. [Bostock-2017]
Mike Bostock, D3.js, https://beta.observablehq.com/@mbostock/miniball, https://beta.observablehq.com/@mbostock/miniball
.. [MSW-1996]
J. Matoušek, M. Sharir, and E. Welzl. A Subexponential Bound For Linear Programming. Algorithmica, 16(4/5):498–516, October/November 1996, http://www.inf.ethz.ch/personal/emo/PublFiles/SubexLinProg_ALG16_96.pdf
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.5 | Python |
نحوه نصب
نصب پکیج whl circlify-0.9.3:
pip install circlify-0.9.3.whl
نصب پکیج tar.gz circlify-0.9.3:
pip install circlify-0.9.3.tar.gz