{ "info": { "author": "Joshua Griffiths", "author_email": "jgriffiths@ceramyq.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Intended Audience :: Developers", "Intended Audience :: System Administrators", "License :: OSI Approved :: Apache Software License", "Operating System :: POSIX :: Linux", "Programming Language :: Python", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.6", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.0", "Programming Language :: Python :: 3.1", "Programming Language :: Python :: 3.2", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5" ], "description": "=================================================\nParser for sadf/sar output into Pandas Dataframes\n=================================================\n\npython-sadf provides a simple way to create system utilisation reports using sysstat and the Pandas api.\n\n\nExample\n=======\n\n::\n\n import sadf\n from sadf import fieldgroups as fg\n\n cmd = sadf.SadfCommand(start_time='09:00:00',\n end_time='18:00:00')\n\n cmd.field_groups = [\n fg.CPULoad(all_fields=True),\n fg.Queue(),\n fg.ProcessAndContextSwitch(),\n fg.IO(),\n fg.Memory(all_fields=True),\n ]\n\n report = cmd.run()\n\n memory_report = report.reports['memory']\\\n .resample('30T').mean()\n\n ldavg_report = report.reports['queue']\\\n .resample('10T').rolling(window=3).mean()\\\n .dropna()\\\n .loc[:, ['ldavg-1', 'ldavg-5', 'ldavg-15']]\n\n\nAuthor\n======\n\nJoshua Griffiths \n\nLicense\n=======\n\nApache - See LICENSE file", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "http://github.com/jpgxs/python-sadf", "keywords": null, "license": "UNKNOWN", "maintainer": null, "maintainer_email": null, "name": "sadf", "package_url": "https://pypi.org/project/sadf/", "platform": "POSIX", "project_url": "https://pypi.org/project/sadf/", "project_urls": { "Download": "UNKNOWN", "Homepage": "http://github.com/jpgxs/python-sadf" }, "release_url": "https://pypi.org/project/sadf/0.1.1/", "requires_dist": null, "requires_python": null, "summary": "Parse sysstat (sa/sar) output into Pandas Dataframes", "version": "0.1.1" }, "last_serial": 2309319, "releases": { "0.1.0": [ { "comment_text": "", "digests": { "md5": "ace4fb6f0987f07390906e25d85136df", "sha256": "e4a8af12e60605b2fcfd91d92b30ff998b55ac19ba7529f6f2408df53c5244af" }, "downloads": -1, "filename": "sadf-0.1.0.tar.gz", "has_sig": false, "md5_digest": "ace4fb6f0987f07390906e25d85136df", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 4877, "upload_time": "2016-08-28T09:39:40", "url": "https://files.pythonhosted.org/packages/92/03/c6ec1dce4c60da9750f8149e960d48bdd1729dc65a3bddabaee5e975e3ba/sadf-0.1.0.tar.gz" } ], "0.1.1": [ { "comment_text": "", "digests": { "md5": "3e727965c6804aaf09977e03c5bad75a", "sha256": "2d6ffed6980c3f8c33bf6ae03ea6649ad1576757c03c6b58cf5fbf7575e71a15" }, "downloads": -1, "filename": "sadf-0.1.1.tar.gz", "has_sig": false, "md5_digest": "3e727965c6804aaf09977e03c5bad75a", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 4882, "upload_time": "2016-08-28T09:43:29", "url": "https://files.pythonhosted.org/packages/f5/fd/465fb40f5c7c26ce7fc578c44f4390d485daea6ab4d773f37392a0cedd03/sadf-0.1.1.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "3e727965c6804aaf09977e03c5bad75a", "sha256": "2d6ffed6980c3f8c33bf6ae03ea6649ad1576757c03c6b58cf5fbf7575e71a15" }, "downloads": -1, "filename": "sadf-0.1.1.tar.gz", "has_sig": false, "md5_digest": "3e727965c6804aaf09977e03c5bad75a", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 4882, "upload_time": "2016-08-28T09:43:29", "url": "https://files.pythonhosted.org/packages/f5/fd/465fb40f5c7c26ce7fc578c44f4390d485daea6ab4d773f37392a0cedd03/sadf-0.1.1.tar.gz" } ] }