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    "info": {
        "author": "Greg Clunies",
        "author_email": "greg.clunies@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Scientific/Engineering"
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        "description": "# noaa_coops\n\n[![Build Status](https://travis-ci.org/GClunies/noaa_coops.svg?branch=master)](https://travis-ci.org/GClunies/noaa_coops)\n[![PyPI](https://img.shields.io/pypi/v/noaa_coops.svg)](https://pypi.python.org/pypi/noaa-coops)\n[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/noaa_coops.svg)](https://pypi.python.org/pypi/noaa-coops)\n\n`noaa_coops` is a Python wrapper for the NOAA CO-OPS Tides & Currents [Data](https://tidesandcurrents.noaa.gov/api/)\nand [Metadata](https://tidesandcurrents.noaa.gov/mdapi/latest/) APIs.\n\n\nThis package is an evolution of [py_noaa](https://github.com/GClunies/py_noaa), the main addition being the creation of a `Station` class that is central to \n `noaa_coops` and provides distinct advantages over `py_noaa`.\n\n## Use\n---\nAll data and metadata is handled using a `Station` class with methods and \nattributes for retrieving metadata, observed data, and predicted data.\n\n### Getting Metadata\n\nAll available metadata for a desired station (identifed by unique `stationid`) \nis automagically generated when a `Station` object is initialzed. Station IDs \ncan be found using the mapping interface at https://tidesandcurrents.noaa.gov/.\nAll metadata is stored as a dictionary in the `.metadata` attribute of a \n`Station` object for easy exploration (e.g. `seattle.metadata`). Additionally, \nthe keys of the metadata attribute dictionary are also assigned as attributes \nof the station object itself (easily explored using tab-completion in your IDE).\nFor example:\n\n```python\n>>> from pprint import pprint  # For pretty printing\n>>> import noaa_coops as nc\n>>> seattle = nc.Station(9447130)\n>>> pprint(seattle.lat_lon['lat'])\n47.601944\n>>> pprint(seattle.lat_lon['lon'])\n-122.339167\n\n```\n\n### Getting Observed or Predicted Data\nStation data can be retrieved using the `.get_data` method on a `Station` \nclass object. Data is returned as a Pandas DataFrame for easy use and analysis. \nData types are listed on the [NOAA CO-OPS Data API](https://tidesandcurrents.noaa.gov/api/#products). The data types currently supported for retrieval with `noaa_coops` are:\n\n    - Currents\n    - Observed water levels\n    - Observered daily high and low water levels (use `product=\"high_low\"`)\n    - Predicted water levels\n    - Predicted high and low water levels\n    - Winds\n    - Air pressure\n    - Air temperature\n    - Water temperature\n\nCompatibility with other data products may exist, but is not guaranteed at this \ntime. Feel free to submit a pull request if you would like to add addtional \nfunctionality.\n\nIn the example below, water level data is retrieved for the Seattle station (`stationid`=9447130) for a 3 month period.\n\n```python\n>>> import noaa_coops as nc\n>>> seattle = nc.Station(9447130)\n>>> df_water_levels = seattle.get_data(\n...     begin_date=\"20150101\",\n...     end_date=\"20150331\",\n...     product=\"water_level\",\n...     datum=\"MLLW\",\n...     units=\"metric\",\n...     time_zone=\"gmt\")\n>>> df_water_levels.head()  # doctest: +NORMALIZE_WHITESPACE\n                     water_level  sigma    flags QC\ndate_time                                          \n2015-01-01 00:00:00        1.799  0.023  0,0,0,0  v\n2015-01-01 00:06:00        1.718  0.018  0,0,0,0  v\n2015-01-01 00:12:00        1.639  0.013  0,0,0,0  v\n2015-01-01 00:18:00        1.557  0.012  0,0,0,0  v\n2015-01-01 00:24:00        1.473  0.014  0,0,0,0  v\n\n```\n\n## Requirements\n\nFor use:\n- requests\n- numpy\n- pandas\n\nFor development/contributions:\n- pytest\n- pytest-cov\n\n\n## TODO\nSee [issues](https://github.com/GClunies/py_noaa/issues) for a list of issues \nand to add issues of your own.\n\n## Contribution\nAll contributions are welcome, feel free to submit a pull request if you have a valuable addition to the package or constructive feedback.\n\n**Many thanks to the following contributors!**\n- [@delgadom](https://github.com/delgadom)\n- [@CraigHarter](https://github.com/CraigHarter)\n- [@jcconnel](https://github.com/jcconnell)\n- [@fabaff](https://github.com/fabaff)\n- [@taataam](https://github.com/taataam)\n\n\n",
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