{ "info": { "author": "HEI Geo", "author_email": "gis@houstoneng.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Environment :: Web Environment", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Topic :: Scientific/Engineering :: GIS", "Topic :: Scientific/Engineering :: Information Analysis", "Topic :: System :: Networking :: Monitoring" ], "description": ".. image:: https://raw.githubusercontent.com/heigeo/climata-viewer/master/app/images/logo-small.png\n :target: http://climata.houstoneng.net\n :alt: Climata\n :align: center\n\n**climata** is a pythonic interface for loading and processing time series data\nfrom climate and flow monitoring stations and observers. climata leverages \na number of webservices as listed below. climata is powered by\n`wq.io `_, and shares its goal of maximizing the reusability of\ndata parsing code, by smoothing over some of the differences between various data formats.\n\n\n.. image:: https://img.shields.io/pypi/v/climata.svg\n :target: https://pypi.python.org/pypi/climata\n :alt: Latest PyPI Release\n\n.. image:: https://img.shields.io/github/release/heigeo/climata.svg\n :target: https://github.com/heigeo/climata/releases\n :alt: Release Notes\n \n.. image:: https://img.shields.io/pypi/l/climata.svg\n :target: https://github.com/heigeo/climata/blob/master/LICENSE\n :alt: License\n \n.. image:: https://img.shields.io/github/stars/heigeo/climata.svg\n :target: https://github.com/heigeo/climata/stargazers\n :alt: GitHub Stars\n\n.. image:: https://img.shields.io/github/forks/heigeo/climata.svg\n :target: https://github.com/heigeo/climata/network\n :alt: GitHub Forks\n \n.. image:: https://img.shields.io/github/issues/heigeo/climata.svg\n :target: https://github.com/heigeo/climata/issues\n :alt: GitHub Issues\n\n|\n\n.. image:: https://img.shields.io/travis/heigeo/climata.svg\n :target: https://travis-ci.org/heigeo/climata\n :alt: Travis Build Status\n \n.. image:: https://img.shields.io/pypi/pyversions/climata.svg\n :target: https://pypi.python.org/pypi/climata\n :alt: Python Support\n\n\nGetting Started\n---------------\n\n.. code:: bash\n\n # Recommended: create virtual environment\n # python3 -m venv venv\n # . venv/bin/activate\n pip install climata\n\nSee https://github.com/heigeo/climata to report any issues.\n\nAvailable Services\n------------------\n\n=================== ================================================================ ============== ============\n Module Classes Data Source Agency/Org.\n=================== ================================================================ ============== ============\nclimata.acis_ ``StationMetaIO``, ``StationDataIO`` ACIS_ NOAA RCCs\nclimata.epa_ ``WqxDomainIO`` WQX_ EPA\nclimata.cocorahs_ ``CocorahsIO`` CoCoRaHS_ CoCoRaHS\nclimata.hydromet_ ``DailyDataIO``, ``InstantDataIO``, ``AgrimetRecentIO`` Hydromet_ USBR\nclimata.nws_ ``HydroForecastIO``, ``EnsembleForecastIO``, ``EnsembleSiteIO`` CNRFC_ NWS\nclimata.snotel_ ``StationIO``, ``StationDailyDataIO``, ``RegionDailyDataIO`` `SNOTEL AWDB`_ NRCS\nclimata.usgs_ ``SiteIO``, ``DailyValueIO``, ``InstantValueIO`` NWIS_ USGS\n=================== ================================================================ ============== ============\n\nUsage\n-----\nCommand-line interface:\n\n.. code:: bash\n\n # Load metadata for sites in Upper Klamath Lake basin\n wq cat climata.acis.StationMetaIO \"basin=18010203\" > sites.csv\n\n # Load daily average temperature for these sites\n PARAMS=\"basin=18010203,start_date=2017-01-01,end_date=2017-01-31,parameter=avgt\"\n wq cat climata.acis.StationDataIO \"$PARAMS\" > data.csv\n\n\nPython API:\n\n.. code:: python\n\n from climata.acis import StationDataIO\n\n # Load average temperature for sites in Upper Klamath Lake basin\n sites = StationDataIO(\n basin=\"18010203\",\n start_date=\"2017-01-01\",\n end_date=\"2017-01-31\",\n parameter=\"avgt\"\n )\n\n # Display site information and time series data\n for site in sites:\n print site.name\n for evt in site.data:\n print evt.date, evt.avgt\n\n\nMore Python code examples are available via the `climata-viewer website`_.\n\n.. _ACIS: http://data.rcc-acis.org/\n.. _CoCoRaHS: http://data.cocorahs.org/cocorahs/export/exportmanager.aspx\n.. _WQX: https://www3.epa.gov/storet/wqx/wqx_getdomainvalueswebservice.html\n.. _Hydromet: http://www.usbr.gov/pn/hydromet/arcread.html\n.. _CNRFC: http://www.cnrfc.noaa.gov/\n.. _SNOTEL AWDB: http://www.wcc.nrcs.usda.gov/web_service/awdb_web_service_landing.htm\n.. _NWIS: http://waterdata.usgs.gov/nwis\n.. _climata.acis: https://github.com/heigeo/climata/blob/master/climata/acis/__init__.py\n.. _climata.cocorahs: https://github.com/heigeo/climata/blob/master/climata/cocorahs/__init__.py\n.. _climata.epa: https://github.com/heigeo/climata/blob/master/climata/epa/__init__.py\n.. _climata.hydromet: https://github.com/heigeo/climata/blob/master/climata/hydromet/__init__.py\n.. _climata.nws: https://github.com/heigeo/climata/blob/master/climata/nws/__init__.py\n.. _climata.snotel: https://github.com/heigeo/climata/blob/master/climata/snotel/__init__.py\n.. _climata.usgs: https://github.com/heigeo/climata/blob/master/climata/usgs/__init__.py\n.. _climata-viewer website: http://climata.houstoneng.net/datarequests/\n", "description_content_type": null, "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/heigeo/climata", "keywords": "", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "climata", "package_url": "https://pypi.org/project/climata/", "platform": "", "project_url": "https://pypi.org/project/climata/", "project_urls": { "Homepage": "https://github.com/heigeo/climata" }, "release_url": "https://pypi.org/project/climata/0.5.0/", "requires_dist": null, "requires_python": "", "summary": "Loads climate and hydrology data from ACIS (NOAA RCCs), CoCoRaHS, Hydromet (USBR), SNOTEL AWDB (NRCS) and NWIS (USGS).", "version": "0.5.0" }, "last_serial": 3174237, "releases": { "0.1.0": [ { "comment_text": "", "digests": { "md5": "3e2b7ce00d0646be8833b16616fd8dd9", "sha256": "5541b77aba3df0f2e33cf67ed32b199395cb9d0f0133986047598d71b56f5e52" }, "downloads": -1, "filename": "climata-0.1.0.tar.gz", "has_sig": false, "md5_digest": "3e2b7ce00d0646be8833b16616fd8dd9", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 7899, "upload_time": "2013-10-29T03:26:03", "url": "https://files.pythonhosted.org/packages/9f/cd/e6933137e7d79afd7af829eb12cb2794fe94e6eaadecc9c68c8a1fa6be17/climata-0.1.0.tar.gz" } ], "0.2.0": [ { "comment_text": "", "digests": { "md5": "b9cbc546e6313aa51f76ea44889e2da4", "sha256": "1919d555bab8f083d25dbe17e6516d33d1b9d84e566ee6b3d18c162c3be41713" }, "downloads": -1, "filename": "climata-0.2.0.tar.gz", "has_sig": false, "md5_digest": "b9cbc546e6313aa51f76ea44889e2da4", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 10919, "upload_time": "2013-12-13T16:29:08", "url": "https://files.pythonhosted.org/packages/31/b7/ec191d2c51c64f35f500663670c385c4a27371db194d86bd8cb472886fad/climata-0.2.0.tar.gz" } ], "0.3.0": [ { "comment_text": "", "digests": { "md5": "5a269a347a7f0f464c259a317375c25c", "sha256": "dc98ac3b530178af694f99dc7666d4adc2ae5109574404234f6c2d56277d6993" }, "downloads": -1, "filename": "climata-0.3.0.tar.gz", "has_sig": false, "md5_digest": "5a269a347a7f0f464c259a317375c25c", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 16707, "upload_time": "2014-06-13T23:32:01", "url": "https://files.pythonhosted.org/packages/83/66/acc4f3e097524f6f1dc0613916ddad95aea6bd49d39f43e2419e094a1b56/climata-0.3.0.tar.gz" } ], "0.3.1": [ { "comment_text": "", "digests": { "md5": "d7019283394785fa91e975144c903aec", "sha256": "2644e18b7987dc9b16cf0a8b39092e9f31c4af5eaeef365e98ad43b4c691ec95" }, "downloads": -1, "filename": "climata-0.3.1.tar.gz", "has_sig": false, "md5_digest": "d7019283394785fa91e975144c903aec", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 19877, "upload_time": "2014-07-08T22:02:25", "url": "https://files.pythonhosted.org/packages/31/1a/3aa9bdcd9ddfa132612ccce9db59912a8c1ebe1678744af18f9c347bf023/climata-0.3.1.tar.gz" } ], "0.3.2": [ { "comment_text": "", "digests": { "md5": "e8e83195e75ed6337142e7ee4c4b0387", "sha256": "305f3bd43ece0df0a46537d2fe4c7f06c35ce6de1f0ca961591ae76cd6bdba7c" }, "downloads": -1, "filename": "climata-0.3.2.tar.gz", "has_sig": false, "md5_digest": "e8e83195e75ed6337142e7ee4c4b0387", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 21728, "upload_time": "2014-07-31T03:22:29", "url": "https://files.pythonhosted.org/packages/c2/3d/d242fea8d51eb380529f713191876f051c352d2edb0bba8c651335eef9aa/climata-0.3.2.tar.gz" } ], "0.4.0": [ { "comment_text": "", "digests": { "md5": "a2406fa65a2710d7f6d952e6e390df9c", "sha256": "5d4031aee0f4d51f122f3479d9aa11904052160e054c2834dcd40f8df4c83d4b" }, "downloads": -1, "filename": "climata-0.4.0.tar.gz", "has_sig": false, "md5_digest": "a2406fa65a2710d7f6d952e6e390df9c", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 22617, "upload_time": "2015-01-16T09:42:44", "url": "https://files.pythonhosted.org/packages/f8/f4/921598f6c5df037306b3753ffa752fd342bf256dbdec1f3b47623fb7af04/climata-0.4.0.tar.gz" } ], "0.4.1": [ { "comment_text": "", "digests": { "md5": "6f572aba998f7ecc289b58fffe3c84a4", "sha256": "6c49eea8d1830b02628ed813c1e92581436cc6ef4b5ead55b773c712a50cd111" }, "downloads": -1, "filename": "climata-0.4.1.tar.gz", "has_sig": false, "md5_digest": "6f572aba998f7ecc289b58fffe3c84a4", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 21295, "upload_time": "2017-03-29T15:35:58", "url": "https://files.pythonhosted.org/packages/f5/8c/6f93eab63b3cd4fd5cf9b1dc50c3a98f11a30ec2a99fa2018f64a546db8e/climata-0.4.1.tar.gz" } ], "0.5.0": [ { "comment_text": "", "digests": { "md5": "714b38e7f91f640f59124391a243bc1c", "sha256": "4bf00910b64606df644dabfcec1cdd0b279c1cb0168e52f75e59d0eccbabc2b2" }, "downloads": -1, "filename": "climata-0.5.0.tar.gz", "has_sig": false, "md5_digest": "714b38e7f91f640f59124391a243bc1c", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 22559, "upload_time": "2017-09-14T17:10:33", "url": "https://files.pythonhosted.org/packages/ac/16/0aed9e415ea8093f8198a64b418769fc59ee4e78392f3545db19fdd6d3a8/climata-0.5.0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "714b38e7f91f640f59124391a243bc1c", "sha256": "4bf00910b64606df644dabfcec1cdd0b279c1cb0168e52f75e59d0eccbabc2b2" }, "downloads": -1, "filename": "climata-0.5.0.tar.gz", "has_sig": false, "md5_digest": "714b38e7f91f640f59124391a243bc1c", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 22559, "upload_time": "2017-09-14T17:10:33", "url": "https://files.pythonhosted.org/packages/ac/16/0aed9e415ea8093f8198a64b418769fc59ee4e78392f3545db19fdd6d3a8/climata-0.5.0.tar.gz" } ] }