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        "author": "Miguel Exp\u00f3sito Mart\u00edn",
        "author_email": "miguel.exposito@gmail.com",
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        "classifiers": [
            "Development Status :: 4 - Beta",
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            "License :: OSI Approved :: Apache Software License",
            "Operating System :: MacOS :: MacOS X",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: POSIX",
            "Programming Language :: Python",
            "Topic :: Scientific/Engineering :: Information Analysis",
            "Topic :: Software Development :: Libraries"
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        "description": "**LAST RELEASE 1.0**: update to 1.0 version is highly recommended, since it supports JSON-stat 2.0 and brings other improvements.\n\n=======\npyjstat\n=======\n\n.. image:: https://travis-ci.org/predicador37/pyjstat.svg?branch=master\n    :target: https://travis-ci.org/predicador37/pyjstat\n\n**pyjstat** is a python library for **JSON-stat** formatted data manipulation\nwhich allows reading and writing JSON-stat [1]_ format with python,using the\nDataFrame structures provided by the widely accepted pandas library [2]_.\nThe JSON-stat format is a simple lightweight JSON format for data\ndissemination, currently in its 2.0 version.\nPyjstat is inspired in rjstat [3]_, a library to read and write\nJSON-stat with R, by ajschumacher. Note that, like in the rjstat project,\nnot all features are supported (i.e. not all metadata are converted).\n**pyjstat** is provided under the Apache License 2.0.\n\n.. [1] http://json-stat.org/ for JSON-stat information\n.. [2] http://pandas.pydata.org for Python Data Analysis Library information\n.. [3] https://github.com/ajschumacher/rjstat for rjstat library information\n\nThis library was first developed to work with Python 2.7. With some fixes\n(thanks to @andrekittredge), now it works with Python 3.4 too.\n\nSupport for JSON-stat 1.3 and 2.0 is provided. JSON-stat 1.3 methods are\ndeprecated now and shouldn't be used in the future, but backwards compatibility\nhas been preserved.\n\nPyjstat 1.0 is aimed for simplicity. JSON-stat classes have been replicated\n(Dataset, Collection and Dimension) and provided with simple read() and write()\nmethods. Funcionality covers common use cases as having a URL or dataframe\nas data sources.\n\nMethods for retrieving the value of a particular cube cell are taken from the\nJSON-stat Javascript sample code. Thanks to @badosa for this.\n\nAlso, version 1.0 makes use of the requests package internally, which should\nmake downloading of datasets easier.\n\nTest coverage is 88% and Travis CI is used.\n\nFinally, note that the new classes and methods are inspired by JSON-stat 2.0,\nand hence, won't work with previous versions of JSON-stat. However, older\nmethods are still available incorporating bug fixes and performance\nimprovements.\n\nInstallation\n============\n\npyjstat requires pandas package. For installation::\n\n    pip install pyjstat\n\nUsage of version 1.0 and newer (with JSON-stat 2.0 support)\n===========================================================\n\nDataset operations: read and write\n----------------------------------\n\nTypical usage often looks like this::\n\n    from pyjstat import pyjstat\n\n    EXAMPLE_URL = 'http://json-stat.org/samples/galicia.json'\n\n    # read from json-stat\n    dataset = pyjstat.Dataset.read(EXAMPLE_URL)\n\n    # write to dataframe\n    df = dataset.write('dataframe')\n    print(df)\n\n    # read from dataframe\n    dataset_from_df = pyjstat.Dataset.read(df)\n\n    # write to json-stat\n    print(dataset_from_df.write())\n\nDataset operation: get_value\n----------------------------------\n\nThis operation mimics the Javascript example in the JSON-stat web page::\n\n    from pyjstat import pyjstat\n\n    EXAMPLE_URL = 'http://json-stat.org/samples/oecd.json'\n    query = [{'concept': 'UNR'}, {'area': 'US'}, {'year': '2010'}]\n\n    dataset = pyjstat.Dataset.read(EXAMPLE_URL)\n    print(dataset.get_value(query))\n\nCollection operations: read and write\n-------------------------------------\n\nA collection can be parsed into a list of dataframes::\n\n    from pyjstat import pyjstat\n\n    EXAMPLE_URL = 'http://json-stat.org/samples/collection.json'\n\n    collection = pyjstat.Collection.read(EXAMPLE_URL)\n    df_list = collection.write('dataframe_list')\n    print(df_list)\n\nExample with UK ONS API\n-----------------------\n\nIn the following example, apikey parameter must be replaced by a real api key\nfrom ONS. This dataset corresponds to residence type by sex by age in London::\n\n    EXAMPLE_URL = 'http://web.ons.gov.uk/ons/api/data/dataset/DC1104EW.json?'\\\n                  'context=Census&jsontype=json-stat&apikey=yourapikey&'\\\n                  'geog=2011HTWARDH&diff=&totals=false&'\\\n                  'dm/2011HTWARDH=E12000007'\n    dataset = pyjstat.Dataset.read(EXAMPLE_URL)\n    df = dataset.write('dataframe')\n    print(df)\n\nMore examples\n-------------\n\nMore examples can be found in the examples directory, both for versions 1.3\nand 2.0.\n\n\nUsage of version 0.3.5 and older (with support for JSON-stat 1.3)\n=================================================================\n\nThis syntax is deprecated and therefore not recommended anymore.\n\nFrom JSON-stat to pandas DataFrame\n-----------------------------------\n\nTypical usage often looks like this::\n\n    from pyjstat import pyjstat\n    import requests\n    from collections import OrderedDict\n\n    EXAMPLE_URL = 'http://json-stat.org/samples/us-labor.json'\n\n    data = requests.get(EXAMPLE_URL)\n    results = pyjstat.from_json_stat(data.json(object_pairs_hook=OrderedDict))\n    print (results)\n\nFrom pandas DataFrame to JSON-stat\n----------------------------------\n\nThe same data can be converted into JSON-stat, with some unavoidable metadata\nloss::\n\n    from pyjstat import pyjstat\n    import requests\n    from collections import OrderedDict\n    import json\n\n    EXAMPLE_URL = 'http://json-stat.org/samples/us-labor.json'\n\n    data = requests.get(EXAMPLE_URL)\n    results = pyjstat.from_json_stat(data.json(object_pairs_hook=OrderedDict))\n    print (results)\n    print (json.dumps(json.loads(pyjstat.to_json_stat(results))))\n\nChanges\n-------\n\nFor a changes, fixes, improvements and new features reference, see CHANGES.txt.\n\n\n",
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