{ "info": { "author": "Daniel Hogg", "author_email": "danielhogg@protonmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 3", "Topic :: Software Development :: Build Tools" ], "description": "# autoformat\nAutomatic, range-aware formatting of time-axis labels for timeseries data using matplotlib.\n\nThis package is supported for Python 3 only. This project works for time ranges on the order of milliseconds or millenia, and produces a decent-looking result with a few lines:\n\n```python\nfrom autoformat import autoformat\n\nautoformat.scale(start_date, end_date)\n# your matplotlib plotting code here\n\n```\n\n## Installation\n\n```\npip install autoformat \n```\n\nProject [github link](https://github.com/danielhogg/autoformat)\n\n\n\n", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/danielhogg/autoformat", "keywords": "matplotlib timeseries datetime", "license": "", "maintainer": "", "maintainer_email": "", "name": "autoformat", "package_url": "https://pypi.org/project/autoformat/", "platform": "", "project_url": "https://pypi.org/project/autoformat/", "project_urls": { "Homepage": "https://github.com/danielhogg/autoformat" }, "release_url": "https://pypi.org/project/autoformat/1.0.0/", "requires_dist": [ "numpy", "matplotlib" ], "requires_python": ">=3.5, <4", "summary": "Automatic, range-aware formatting of time-axis labels for timeseries data using matplotlib.", "version": "1.0.0" }, "last_serial": 4944688, "releases": { "1.0.0": [ { "comment_text": "", "digests": { "md5": "fb578a0b4390f2e0754ca80546764288", "sha256": "2f71a1ce6b150ff46602f2d381626006cd475b3816d3ac68621d972203a3def5" }, "downloads": -1, "filename": "autoformat-1.0.0-py3-none-any.whl", "has_sig": false, "md5_digest": "fb578a0b4390f2e0754ca80546764288", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": ">=3.5, <4", "size": 3267, "upload_time": "2019-03-15T15:19:38", "url": "https://files.pythonhosted.org/packages/07/71/380ea66db324c9d6d150015654a5b878ff8359924acdf26c5a10db058953/autoformat-1.0.0-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "8e00b402a92337048fcd5b8ad54e2ea0", "sha256": "662db875959eb01da57430621fdb79887d5d6bfb4d76a3d07b0dbd881070c8da" }, "downloads": -1, "filename": "autoformat-1.0.0.tar.gz", "has_sig": false, "md5_digest": "8e00b402a92337048fcd5b8ad54e2ea0", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.5, <4", "size": 2288, "upload_time": "2019-03-15T15:19:40", "url": "https://files.pythonhosted.org/packages/f1/c2/e132ae9c06d829dd868e423a8080d1b10c525dbd10d81aaa77c81660a6ae/autoformat-1.0.0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "fb578a0b4390f2e0754ca80546764288", "sha256": "2f71a1ce6b150ff46602f2d381626006cd475b3816d3ac68621d972203a3def5" }, "downloads": -1, "filename": "autoformat-1.0.0-py3-none-any.whl", "has_sig": false, "md5_digest": "fb578a0b4390f2e0754ca80546764288", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": ">=3.5, <4", "size": 3267, "upload_time": "2019-03-15T15:19:38", "url": "https://files.pythonhosted.org/packages/07/71/380ea66db324c9d6d150015654a5b878ff8359924acdf26c5a10db058953/autoformat-1.0.0-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "8e00b402a92337048fcd5b8ad54e2ea0", "sha256": "662db875959eb01da57430621fdb79887d5d6bfb4d76a3d07b0dbd881070c8da" }, "downloads": -1, "filename": "autoformat-1.0.0.tar.gz", "has_sig": false, "md5_digest": "8e00b402a92337048fcd5b8ad54e2ea0", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.5, <4", "size": 2288, "upload_time": "2019-03-15T15:19:40", "url": "https://files.pythonhosted.org/packages/f1/c2/e132ae9c06d829dd868e423a8080d1b10c525dbd10d81aaa77c81660a6ae/autoformat-1.0.0.tar.gz" } ] }