Skip to main content

Provides a set of APIs to consume Azure Open Datasets.

Project description

This package provides a set of APIs to consume Azure Open Datasets.

In general, it allows users to turn the open datasets into both SPARK and Pandas dataframe, with filters that are commonly applied to each specific dataset.

For some of the open datasets, it provides enricher capability to join with other data. For example, you can join your data with weather data by lat/long/zipcode + time quite easily.


This package also contains open datasets with the following third-party notices.

[1]: ftp://ftp.ncdc.noaa.gov/pub/data/noaa/readme.txt [2]: https://www.ncei.noaa.gov/thredds/catalog/gfs-004-files/catalog.html?dataset=gfs-g4-files [3]: http://opendefinition.org/licenses/odc-pddl/ [4]: https://data.seattle.gov/stories/s/Data-Policy/6ukr-wvup/ [5]: https://datasf.org/opendata/terms-of-use/ [6]: https://www.chicago.gov/city/en/narr/foia/data_disclaimer.html [7]: https://www1.nyc.gov/home/terms-of-use.page

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

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

azureml_opendatasets-1.36.0-py3-none-any.whl (1.3 MB view details)

Uploaded Python 3

File details

Details for the file azureml_opendatasets-1.36.0-py3-none-any.whl.

File metadata

  • Download URL: azureml_opendatasets-1.36.0-py3-none-any.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.7.1 requests/2.26.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.2

File hashes

Hashes for azureml_opendatasets-1.36.0-py3-none-any.whl
Algorithm Hash digest
SHA256 5d22a08653ecad679ba6b922291902adf6a9178f118a28582d18bd30e497f023
MD5 7758becd446493a82e395e459b86e152
BLAKE2b-256 4e7f1627ad836fb97a95f940390518f48b22006a71ee7beab64acb3cd5955683

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