{ "info": { "author": "Alisue", "author_email": "lambdalisue@hashnote.net", "bugtrack_url": null, "classifiers": [ "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Programming Language :: Python" ], "description": "# Graf\n\nGraf was built as a daily graph drawing program.\nThere is a powerfull graph drawing tool called [matplotlib][] but that is too\npowerfull and complecated to use as a daily tool.\nThe purpose of the Graf is to make it easier and simpler for daily graph drawing\npowerd by wrapping matplotlib and giving some useful methods for loading or\nanalysing data.\n\n# Example\nPrepare example data in `raw` directory as `data.00.txt`, `data.01.txt`, ...etc.\nSave the following code as `example01.graf` and run `graf example01.graf`\n\n```python\n# Load column 0 and 1 of data.00.txt, data.01.txt, ... in raw directory\ndataset = load('raw/data.??.txt', using=(0, 1))\n# Plot all data\nfor x, y in dataset:\n plot(x, y)\n# Show\nshow()\n```", "description_content_type": null, "docs_url": null, "download_url": "https://github.com/lambdalisue/graf/tarball/master", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/lambdalisue/graf", "keywords": "numpy,scipy,matplotlib,gnuplot,plot,graph,analysis", "license": "MIT", "maintainer": null, "maintainer_email": null, "name": "graf", "package_url": "https://pypi.org/project/graf/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/graf/", "project_urls": { "Download": "https://github.com/lambdalisue/graf/tarball/master", "Homepage": "https://github.com/lambdalisue/graf" }, "release_url": "https://pypi.org/project/graf/0.1.2/", "requires_dist": null, "requires_python": null, "summary": "Light weight numpy, scipy, and matplotlib wrapper", "version": "0.1.2" }, "last_serial": 895717, "releases": { "0.1.0": [ { "comment_text": "", "digests": { "md5": "500e8a517ba85e9e91bd7eb1b29edaf5", "sha256": "0d6619321fc44ffbff84e479203c41d81d4c326d491647d8100bced7f78aca8c" }, "downloads": -1, "filename": "graf-0.1.0.tar.gz", "has_sig": false, "md5_digest": "500e8a517ba85e9e91bd7eb1b29edaf5", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 35366, "upload_time": "2013-10-09T16:39:40", "url": "https://files.pythonhosted.org/packages/75/e9/c0858475fbe8853dad468982fe450779844d1ac03401f0f866ff9108df2f/graf-0.1.0.tar.gz" } ], "0.1.1": [ { "comment_text": "", "digests": { "md5": "566edd8c3e1ed1737afc075edad4cc93", "sha256": "c5a60d92b4000ad3d493f17c03405f8bd19051a1407130338c33da939edf06ef" }, "downloads": -1, "filename": "graf-0.1.1.tar.gz", "has_sig": false, "md5_digest": "566edd8c3e1ed1737afc075edad4cc93", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 36594, "upload_time": "2013-10-14T13:30:34", "url": "https://files.pythonhosted.org/packages/f6/e0/0e2d0600020858b70a3fa2e587ba4da6bccff9d5485f2e7443ca75e75303/graf-0.1.1.tar.gz" } ], "0.1.2": [ { "comment_text": "", "digests": { "md5": "95b6453bddeab2a3edc3b25a3eca68be", "sha256": "3b02c256ced032db935c99269b0c789568ae78121b3b254b6925d851dce538b0" }, "downloads": -1, "filename": "graf-0.1.2.tar.gz", "has_sig": false, "md5_digest": "95b6453bddeab2a3edc3b25a3eca68be", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 36569, "upload_time": "2013-10-16T13:11:54", "url": "https://files.pythonhosted.org/packages/1e/2c/796280cd139648d977b5d6f15f958c6835f0a8f16df677c9ee7277374762/graf-0.1.2.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "95b6453bddeab2a3edc3b25a3eca68be", "sha256": "3b02c256ced032db935c99269b0c789568ae78121b3b254b6925d851dce538b0" }, "downloads": -1, "filename": "graf-0.1.2.tar.gz", "has_sig": false, "md5_digest": "95b6453bddeab2a3edc3b25a3eca68be", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 36569, "upload_time": "2013-10-16T13:11:54", "url": "https://files.pythonhosted.org/packages/1e/2c/796280cd139648d977b5d6f15f958c6835f0a8f16df677c9ee7277374762/graf-0.1.2.tar.gz" } ] }