Skip to main content

Azure Machine Learning 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-1.14.0-py3-none-any.whl (1.3 MB view details)

Uploaded Python 3

File details

Details for the file azureml_opendatasets-1.14.0-py3-none-any.whl.

File metadata

  • Download URL: azureml_opendatasets-1.14.0-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/1.5.0.1 requests/2.24.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.5.4

File hashes

Hashes for azureml_opendatasets-1.14.0-py3-none-any.whl
Algorithm Hash digest
SHA256 67aeb378810d2c0c593d0d25785cf3c6eb3a54450eb7606ee5e19ae2e16073a1
MD5 21cf6883564cbeef0df49c26b3f1a9be
BLAKE2b-256 1c4ca8e4cac235d9cdcc322aa7bb30aed2e57a2b95e970645dc33e6fc30cf5a3

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