Skip to main content

A client for SDMX - Statistical Data and Metadata eXchange

Project description

https://travis-ci.org/dr-leo/pandaSDMX.svg?branch=master https://codecov.io/gh/dr-leo/pandaSDMX/branch/master/graph/badge.svg Documentation Status https://img.shields.io/pypi/v/pandaSDMX.svg

Source code @ GithubAuthors

pandaSDMX is an Apache 2.0-licensed Python package that implements SDMX 2.1 (ISO 17369:2013), a format for exchange of statistical data and metadata used by national statistical agencies, central banks, and international organisations.

pandaSDMX can be used to:

  • explore the data available from data providers such as the World Bank, International Monetary Fund, Eurostat, OECD, and United Nations;

  • parse data and metadata in SDMX-ML (XML) or SDMX-JSON formats—either:

    • from local files, or

    • retrieved from SDMX web services, with query validation and caching;

  • convert data and metadata into pandas objects, for use with the analysis, plotting, and other tools in the Python data science ecosystem;

  • apply the SDMX Information Model to your own data;

…and much more.

Documentation

See https://pandasdmx.readthedocs.io/en/latest for the latest docs, or https://pandasdmx.readthedocs.io/en/v0.9 for the 0.9 release.

License

Copyright 2014–2019, pandaSDMX developers

Licensed under the Apache License, Version 2.0 (the “License”); you may not use these files except in compliance with the License. You may obtain a copy of the License:

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

History

pandaSDMX originally started as a fork of pysdmx. Even if pandaSDMX would not have been possible without the inspiring work done for that project, the author decided to rewrite it from scratch, so pandaSDMX became an independent project. Many people from all over the world have generously contributed code and feedback.

pandaSDMX also contains sample data and metadata from the SDMX user guide.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pandaSDMX-1.0b1.tar.gz (284.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pandaSDMX-1.0b1-py2.py3-none-any.whl (83.8 kB view details)

Uploaded Python 2Python 3

File details

Details for the file pandaSDMX-1.0b1.tar.gz.

File metadata

  • Download URL: pandaSDMX-1.0b1.tar.gz
  • Upload date:
  • Size: 284.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.4.2 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.7.3

File hashes

Hashes for pandaSDMX-1.0b1.tar.gz
Algorithm Hash digest
SHA256 751944cb71d4224c8999e1887b6ea0ded8a77f7f81de210a0461462299dabe92
MD5 16075a3acc8b4358383e1738b71b7754
BLAKE2b-256 96804180a66f4e456701cb0d79b634851de2971e43e61fe7868724b4d7d21cd0

See more details on using hashes here.

File details

Details for the file pandaSDMX-1.0b1-py2.py3-none-any.whl.

File metadata

  • Download URL: pandaSDMX-1.0b1-py2.py3-none-any.whl
  • Upload date:
  • Size: 83.8 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.4.2 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.7.3

File hashes

Hashes for pandaSDMX-1.0b1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 c1e0963fc1032ed1e2a7f885f364d9c15a208e9e36cfa6593207263fef8ff361
MD5 4180ebbe2f546a10e3d8f3f3555e4d0d
BLAKE2b-256 e2064e7bee4c78453074c9617f31985b32fa3905766b2b3a7436ec7a3a1f69ee

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page