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    "info": {
        "author": "Martin Roberge",
        "author_email": "mroberge.whois@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Scientific/Engineering :: Information Analysis",
            "Topic :: Scientific/Engineering :: Visualization",
            "Topic :: Utilities"
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        "description": "===============================\nHydroFunctions\n===============================\n\n.. image:: https://img.shields.io/pypi/v/hydrofunctions.svg\n        :target: https://pypi.python.org/pypi/hydrofunctions\n        :alt: Visit Hydrofunctions on PyPI\n\n.. image:: https://img.shields.io/travis/mroberge/hydrofunctions.svg\n        :target: https://travis-ci.org/mroberge/hydrofunctions\n        :alt: Unit Testing Status\n\n.. image:: https://codecov.io/gh/mroberge/hydrofunctions/branch/master/graph/badge.svg\n        :target: https://codecov.io/gh/mroberge/hydrofunctions\n        :alt: Code Coverage Status\n\n.. image:: https://readthedocs.org/projects/hydrofunctions/badge/?version=latest\n        :target: https://hydrofunctions.readthedocs.io/en/latest/?badge=latest\n        :alt: Documentation Status\n\n.. image:: https://img.shields.io/github/license/mashape/apistatus.svg\n        :target: https://github.com/mroberge/hydrofunctions/blob/master/LICENSE\n        :alt: MIT license\n\na suite of convenience functions for exploring water data in Python.\n\nFeatures\n--------\n\n* Retrieves stream data from the USGS NWIS service\n* Retrieve data using multiple site numbers, state, county codes, or boundary box\n* Preserves NWIS metadata, including NoData values\n* Helpful error messages to help you write valid requests\n* Extracts data into a Pandas dataframe, json, or dict\n* Plotting and manipulation through Pandas dataframes\n* Interactive map for finding stream gage ID numbers\n* Still in early development! More features to come!\n\nRead the `Users Guide <https://hydrofunctions.readthedocs.io/en/master>`_ for more details.\n\n\nBasic Usage\n-----------\n\nFirst, import hydrofunctions into your project and enable automatic chart \ndisplay::\n\n    >>> import hydrofunctions as hf\n    >>> %matplotlib inline\n\nCreate NWIS data object to hold our request and the data we will retrieve.\nWe will request the daily values ('dv') for site '0158520' for the past\n55 days::\n\n    >>> herring = hf.NWIS('01585200', 'dv', period='P55D')\n\nWe've set up our system, now we submit our request for data and get a\nresponse::\n\n    >>> herring.get_data()\n    <hydrofunctions.station.NWIS at 0x127506d6ac8>\n\nCreate a dataframe from our data, and list the first five items::\n\n    >>> herring.df().head()\n\n*--a table with our data appears--*\n\n    +------------+--------------------------------------------------+\n    |  datetime  | 01585200 - Mean Discharge, cubic feet per second |\n    +------------+--------------------------------------------------+\n    | 2017-06-01 |                                       0.71       |\n    +------------+--------------------------------------------------+\n    | 2017-06-02 |                                       0.64       |\n    +------------+--------------------------------------------------+\n    | 2017-06-03 |                                       0.61       |\n    +------------+--------------------------------------------------+\n    | 2017-06-04 |                                       0.58       |\n    +------------+--------------------------------------------------+\n    | 2017-06-05 |                                       1.95       |\n    +------------+--------------------------------------------------+\n\nPlot the data using built-in methods from Pandas and mathplotlib::\n\n    >>> herring.df().plot()\n\n*--a stream hydrograph appears--*\n\n.. image:: https://raw.githubusercontent.com/mroberge/hydrofunctions/master/_static/HerringHydrograph.png\n        :alt: a stream hydrograph for Herring Run\n\nDraw an interactive map in a Jupyter Notebook:\n\n.. image:: https://raw.githubusercontent.com/mroberge/hydrofunctions/master/_static/draw_map.jpg\n        :alt: a map in an interactive Jupyter Notebook.\n\nLearn more:\n\n* `More usage <https://hydrofunctions.readthedocs.io/en/master/usage.html>`_ tips\n* `Introduction to Hydrofunctions <https://github.com/mroberge/hydrofunctions/blob/master/Introduction%20to%20Hydrofunctions.ipynb>`_, a Jupyter Notebook with a quick tutorial.\n\nEasy Installation\n-----------------\n\nThe easiest way to install Hydrofunctions is by typing this from your \ncommand line:\n\n.. code-block:: console\n\n    $ pip install hydrofunctions\n\n\nHydrofunctions depends upon Pandas and numerous other scientific packages\nfor Python. `Anaconda <https://www.continuum.io/open-source-core-modern-software>`_ \nis an easy, safe, open-source method for downloading everything and avoiding\nconflicts with other versions of Python that might be running on your\ncomputer.\n\nVisit the `Installation Page <https://hydrofunctions.readthedocs.io/en/master/installation.html>`_ \nin the Users Guide to learn how to install\nAnaconda, or if you have problems using the Easy Installation method above.\n\n\nOther Projects You Should See\n-----------------------------\n\n`Hydropy <https://github.com/stijnvanhoey/hydropy>`_, a Python package that builds upon Pandas for enhanced data selection and plotting of hydrology data.\n\n`WellApplication <https://github.com/inkenbrandt/WellApplication>`_ a Python package that provides functions for working with dataloggers and USGS well data.\n\nThis package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.\n\n.. _Cookiecutter: https://github.com/audreyr/cookiecutter\n.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage\n\nMIT License\n\nCopyright (c) 2016, Martin Roberge and contributors\n\n\n=======\nHistory\n=======\n\n0.1.0 (2016-08-11)\n------------------\n\n* Project set up.\n\n0.1.1 (2016-08-11)\n------------------\n\n* Customized project boilerplate.\n\n0.1.2 (2016-08-26)\n------------------\n\n* Set up template for custom exceptions\n* Added get_nwis function\n\n0.1.3 (2016-09-09)\n-----------------------\n\n* Check user inputs & raise explanatory exceptions\n* Extract data from response into a dataframe.\n* Stations object for managing data.\n\n0.1.4 (2016-09-18)\n----------------------\n\n* Added tests & documentation.\n\n0.1.5 (2018-02-22)\n----------------------\n\n* Updated to support Python 3.6\n* Updated docs, added notebooks (mcr jdh)\n* Added parameterCd to allow requests for different datasets (thanks @jdhughes-usgs!)\n* Added ability to query sites by state or county (jdh)\n* Added ability to request lists of sites or counties (jdh)\n* Improved column names: now includes site id & variable description (for example, '07228000 - Mean Discharge, cubic feet per second')(jdh)\n* Added descriptive warnings to explain why queries fail (mcr)\n\n\n0.1.6 (2018-03-07)\n----------------------\n\n* Added draw_map function for help selecting sites (mcr)\n* Added ability to query sites by a bounding box (jdh)\n* Revised pandas dataframe column names to be the name composed of the provider, site id, parameter, and statistic (for example. USGS:01638500:00060:0001). (jdh)\n* Added qualifiers for each station as a column in the dataframe. (jdh)\n* Added ability extract NWIS property data from the response object (for example, siteName). (jdh)\n\n0.1.7 (2018-11-11)\n----------------------\n\n* Added a flow duration chart (mcr)\n* Added the cycleplot chart (mcr)\n* Added code coverage (mcr)\n* Improved the build scripts for TravisCI (mcr)\n* Updated to support Python 3.7\n\n",
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        "keywords": "hydrofunctions hydrology USGS stream gauge water NWIS",
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