{ "info": { "author": "Moritz Goertz", "author_email": "goertzm@hochschule-trier.de", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Education", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Operating System :: Microsoft :: Windows", "Operating System :: Unix", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6" ], "description": "VecVis\n======\nA tool for visualization and filtering of vectors.\n\nFeatures\n--------\n- Simple to use API\n- Clear visualization of vectors in a starchart.\n- Filtering of vectors.\n\t- Only show Pareto-optimal vectors.\n\t- Constrain the vectors by valueranges for each dimension.\n\nHow to use\n----------\nAfter you have installed VecVis you are ready to go. \nThe only way to start the GUI and add vectors is via API.\nThe available functions are listed at readthedocs_.\nThis version does not work on Mac OS X.\n\n.. _readthedocs: http://vecvis.readthedocs.io/en/latest/#availabe-functions\n\nExample use:\n\n.. code-block:: python\n\n from vecvis import API\n \n app = API(3)\n app.add_vector((1,0.4,1.3))", "description_content_type": null, "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://gitlab.fsi.hochschule-trier.de/goertzm/bachelor", "keywords": "vector visualization starchart pareto filter", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "vecvis", "package_url": "https://pypi.org/project/vecvis/", "platform": "", "project_url": "https://pypi.org/project/vecvis/", "project_urls": { "Homepage": "https://gitlab.fsi.hochschule-trier.de/goertzm/bachelor" }, "release_url": "https://pypi.org/project/vecvis/1.0/", "requires_dist": null, "requires_python": "", "summary": "A module for showing and filtering vectors", "version": "1.0" }, "last_serial": 3161794, "releases": { "1.0": [ { "comment_text": "", "digests": { "md5": "5c0d95ddb73edb474902caa21d65f711", "sha256": "cbb0f7e501d493e6f2b691ad39ebdc1c9718e8e4c123ad79631b70c9884bc7af" }, "downloads": -1, "filename": "vecvis-1.0.tar.gz", "has_sig": false, "md5_digest": "5c0d95ddb73edb474902caa21d65f711", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 18592, "upload_time": "2017-09-09T13:51:42", "url": "https://files.pythonhosted.org/packages/fd/03/5867f11bdd61027e1289bff45605e8c3a6097c2463cf9053da198ae05ed7/vecvis-1.0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "5c0d95ddb73edb474902caa21d65f711", "sha256": "cbb0f7e501d493e6f2b691ad39ebdc1c9718e8e4c123ad79631b70c9884bc7af" }, "downloads": -1, "filename": "vecvis-1.0.tar.gz", "has_sig": false, "md5_digest": "5c0d95ddb73edb474902caa21d65f711", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 18592, "upload_time": "2017-09-09T13:51:42", "url": "https://files.pythonhosted.org/packages/fd/03/5867f11bdd61027e1289bff45605e8c3a6097c2463cf9053da198ae05ed7/vecvis-1.0.tar.gz" } ] }