Metadata-Version: 1.1
Name: pandaSDMX
Version: 0.9
Summary: A client for SDMX - Statistical Data and Metadata eXchange
Home-page: https://github.com/dr-leo/pandasdmx
Author: Dr. Leo
Author-email: fhaxbox66@gmail.com
License: UNKNOWN
Description-Content-Type: UNKNOWN
Description: =============

        pandaSDMX

        =============

        

        pandaSDMX is an Apache 2.0-licensed  

        client to retrieve and acquire statistical data

        and metadata disseminated in

        `SDMX <http://www.sdmx.org>`_ 2.1, an ISO-standard

        widely used by institutions

        such as statistics offices, central banks, and international organisations.

        pandaSDMX exposes datasets and related structural metadata 

        including dataflows, code-lists, 

        and datastructure definitions as `pandas <http://pandas.pydata.org>`_ Series 

        or multi-indexed DataFrames. Many other 

        output formats and storage backends are available thanks to `Odo <http://odo.readthedocs.io/>`_.  

        

        Supported data providers

        ----------------------------

        pandaSDMX ships with built-in support for the following agencies (others may be  

        configured by the user): 

        

        * `Australian Bureau of Statistics (ABS) <http://www.abs.gov.au/>`_ 

        * `European Central Bank (ECB) <http://www.ecb.europa.eu/stats/ecb_statistics/co-operation_and_standards/sdmx/html/index.en.html>`_

        * `Eurostat <http://ec.europa.eu/eurostat/web/sdmx-web-services/rest-sdmx-2.1>`_

        * `French National Institute for Statistics (INSEE) 

          <http://www.bdm.insee.fr/bdm2/statique?page=sdmx>`_

        * `International Monetary Fund (IMF) - SDMX Central only 

          <https://sdmxcentral.imf.org/>`_   

        * `Organisation for Economic Cooperation and Development (OECD)

          <http://stats.oecd.org/SDMX-JSON/>`_  

        * `United Nations Statistics Division (UNSD) <https://unstats.un.org/home/>`_

        * `UNESCO (free registration required) <https://apiportal.uis.unesco.org/getting-started>`_

        * `World Bank - World Integrated Trade Solution (WITS) <wits.worldbank.org>`_ 

         

        

        Main features

        ---------------------

        

        * support for many SDMX features including

        

          - generic and structure-specific data sets in SDMXML format

          - data sets in SDMXJSON format  

          - data structure definitions, code lists and concept schemes

          - dataflow definitions and content-constraints

          - categorisations and category schemes

        

        * pythonic representation of the SDMX information model  

        * When requesting datasets, validate column selections against code lists 

          and content-constraints if available

        * export data and structural metadata such as code lists as multi-indexed pandas DataFrames or Series, and

          many other formats as well as database backends via `Odo`_ 

        * read and write SDMX messages to and from files 

        * configurable HTTP connections

        * support for `requests-cache <https://readthedocs.io/projects/requests-cache/>`_ allowing to cache SDMX messages in 

          memory, MongoDB, Redis or SQLite  

        * extensible through custom readers and writers for alternative input and output formats 

        * growing test suite

        

        For further details including release notes and extensive code examples

        see the 

        `documentation <http://pandasdmx.readthedocs.io>`_ . 

        

        

        pandaSDMX Links

        -------------------------------

        

        * `Documentation <http://pandasdmx.readthedocs.io>`_

        * `Google group <https://groups.google.com/forum/?hl=en#!forum/sdmx-python>`_  

        * `github <https://github.com/dr-leo/pandaSDMX>`_

         

          

        
Keywords: statistics SDMX pandas data economics science
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Financial and Insurance Industry
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Provides: pandasdmx
