{ "info": { "author": "Richard Gerum", "author_email": "richard.gerum@fau.de", "bugtrack_url": null, "classifiers": [], "description": ".. -*- mode: rst -*-\n\nPylustrator\n===========\n\n|DOC|_ |License|_ |DOI|_\n\n.. |DOC| image:: https://readthedocs.org/projects/pylustrator/badge/\n.. _DOC: https://pylustrator.readthedocs.io\n\n.. |License| image:: https://img.shields.io/badge/License-GPLv3-blue.svg\n.. _License: http://www.gnu.org/licenses/gpl-3.0.html\n\n.. |DOI| image:: https://img.shields.io/badge/DOI-10.5281/zenodo.1294663-blue.svg\n.. _DOI: https://zenodo.org/record/1294664\n\nVisualisations of data are at the core of every publication of scientific research results. They have to be as clear as\npossible to facilitate the communication of research. As data can have different formats and shapes, the visualisations\noften have to be adapted to reflect the data as well as possible. We developed Pylustrator, an interface to directly\nedit python generated matplotlib graphs to finalize them for publication. Therefore, subplots can be resized and dragged\naround by the mouse, text and annotations can be added. The changes can be saved to the initial plot file as python code.\n\nKeywords: python, matplotlib, draggable subplots, texts, annotations, code generation\n\nPlease refer to our `Documentation `_ for more information and instructions on installing it.", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://bitbucket.org/fabry_biophysics/pylustrator", "keywords": "", "license": "GPLv3", "maintainer": "", "maintainer_email": "", "name": "pylustrator", "package_url": "https://pypi.org/project/pylustrator/", "platform": "", "project_url": "https://pypi.org/project/pylustrator/", "project_urls": { "Homepage": "https://bitbucket.org/fabry_biophysics/pylustrator" }, "release_url": "https://pypi.org/project/pylustrator/0.12.0/", "requires_dist": null, "requires_python": "", "summary": "Adds interactivity to arrange panels in matplotlib", "version": "0.12.0" }, "last_serial": 5790921, 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