{ "info": { "author": "Matheus Boni Vicari", "author_email": "matheus.boni.vicari@gmail.com", "bugtrack_url": null, "classifiers": [ "Programming Language :: Python", "Topic :: Scientific/Engineering" ], "description": "========\npc2graph\n========\n\nGeneral Information\n~~~~~~~~~~~~~~~~~~~\n\nThis is a Python (2.7x) script that converts a numpy.ndarray containing a point cloud\n(x, y, z) into a NetworkX graph.\n\nThe code also includes a function to extract shortest path information from a\ngraph. Any NetworkX method/function can be called from/on a graph\ncreated with array_to_graph function.\n\nThis code was developed as part of my PhD research, supervised by Dr. Mat Disney,\nin the Department of Geography at University College London (UCL). My research \nis funded through Science Without Borders from the National Council of Technological\nand Scientific Development (10.13039/501100003593) \u2013 Brazil (Process number 233849/2014-9). \n\nAny questions or suggestions, feel free to contact me using one of the\nfollowing e-mails: matheus.boni.vicari@gmail.com or matheus.vicari.15@ucl.ac.uk\n\n\nInstallation\n~~~~~~~~~~~~\n\nTo install this package use the command:\n\n .. code-block:: python\n\n python setup.py install\n\nor:\n\n .. code-block:: python\n\n pip install pc2graph\n\n\n\n\n\n\n\n\n\n\n", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/mattbv/pc2graph", "keywords": "networkx graph shortest path TLS point cloud LiDAR", "license": "LICENSE.txt", "maintainer": "", "maintainer_email": "", "name": "pc2graph", "package_url": "https://pypi.org/project/pc2graph/", "platform": "", "project_url": "https://pypi.org/project/pc2graph/", "project_urls": { "Homepage": "https://github.com/mattbv/pc2graph" }, "release_url": "https://pypi.org/project/pc2graph/1.0.1/", "requires_dist": [ "numpy (>=1.11.3)", "scikit-learn (>=0.19.1)", "networkx (>=1.11)" ], "requires_python": "", "summary": "Generates a NetworkX graph from 3D point clouds acquired using Terrestrial LiDAR Scanners.", "version": "1.0.1" }, "last_serial": 4845055, "releases": { "1.0": [ { "comment_text": "", "digests": { "md5": "5078de5952c5bbac5d21f64e549bbafc", "sha256": "cf83ffc8cacc24b1c883c56c1d8a9a90279cb15414b58ffd19449ecbdf706d28" }, "downloads": -1, "filename": "pc2graph-1.0-py2.py3-none-any.whl", "has_sig": false, "md5_digest": "5078de5952c5bbac5d21f64e549bbafc", "packagetype": "bdist_wheel", "python_version": "py2.py3", "requires_python": null, "size": 19933, "upload_time": "2019-02-20T11:21:58", "url": "https://files.pythonhosted.org/packages/fe/a6/60014b3fce8dbf90be441da7e060d16f540f9f722a906d2f028ba395fb60/pc2graph-1.0-py2.py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "0df5205a635a3f953a95bcea5f42b7ba", "sha256": "ee59e3e1e2cb4942c477d6d8790319fef8ad5da6665e8f074695c5aca7f6df88" }, "downloads": -1, "filename": "pc2graph-1.0.tar.gz", "has_sig": false, "md5_digest": "0df5205a635a3f953a95bcea5f42b7ba", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 6666, "upload_time": "2019-02-20T11:22:00", "url": "https://files.pythonhosted.org/packages/1e/7a/edb577e14d47419bd40dc11a32995df3b5cecf2e53b0c1b2b5ca655c788d/pc2graph-1.0.tar.gz" } ], "1.0.1": [ { "comment_text": "", "digests": { "md5": "f992e224ca7bf4c9f88c6a424cd881ad", "sha256": "f4940fafc026c6d1eafe490e82c95e28b04eccc3b7a2e1644cd722f26a447847" }, "downloads": -1, "filename": "pc2graph-1.0.1-py2.py3-none-any.whl", "has_sig": false, "md5_digest": "f992e224ca7bf4c9f88c6a424cd881ad", "packagetype": "bdist_wheel", "python_version": "py2.py3", "requires_python": null, "size": 19998, "upload_time": "2019-02-20T11:40:20", "url": "https://files.pythonhosted.org/packages/94/dd/64837e9ca7cc62e4f147c46bf6695b647a45eabd589736ee64a5118eaaca/pc2graph-1.0.1-py2.py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "b0c1bacb0f861f00224878bd9e421a6f", "sha256": "d431c48de483c7cb685d508c523b2510bfcc4dacabc42b7ba653de5a2cf8e9c6" }, "downloads": -1, "filename": "pc2graph-1.0.1.tar.gz", "has_sig": false, "md5_digest": "b0c1bacb0f861f00224878bd9e421a6f", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 2004708, "upload_time": "2019-02-20T11:40:22", "url": "https://files.pythonhosted.org/packages/34/5d/6e765f6b55a6e356b370c7754aac34a67227634365ca9abbbf859082d358/pc2graph-1.0.1.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "f992e224ca7bf4c9f88c6a424cd881ad", "sha256": "f4940fafc026c6d1eafe490e82c95e28b04eccc3b7a2e1644cd722f26a447847" }, "downloads": -1, "filename": "pc2graph-1.0.1-py2.py3-none-any.whl", "has_sig": false, "md5_digest": "f992e224ca7bf4c9f88c6a424cd881ad", "packagetype": "bdist_wheel", "python_version": "py2.py3", "requires_python": null, "size": 19998, "upload_time": "2019-02-20T11:40:20", "url": "https://files.pythonhosted.org/packages/94/dd/64837e9ca7cc62e4f147c46bf6695b647a45eabd589736ee64a5118eaaca/pc2graph-1.0.1-py2.py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "b0c1bacb0f861f00224878bd9e421a6f", "sha256": "d431c48de483c7cb685d508c523b2510bfcc4dacabc42b7ba653de5a2cf8e9c6" }, "downloads": -1, "filename": "pc2graph-1.0.1.tar.gz", "has_sig": false, "md5_digest": "b0c1bacb0f861f00224878bd9e421a6f", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 2004708, "upload_time": "2019-02-20T11:40:22", "url": "https://files.pythonhosted.org/packages/34/5d/6e765f6b55a6e356b370c7754aac34a67227634365ca9abbbf859082d358/pc2graph-1.0.1.tar.gz" } ] }