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


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

File details

Details for the file azureml_contrib_opendatasets-1.0.39-py3-none-any.whl.

File metadata

  • Download URL: azureml_contrib_opendatasets-1.0.39-py3-none-any.whl
  • Upload date:
  • Size: 76.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/39.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.5.2

File hashes

Hashes for azureml_contrib_opendatasets-1.0.39-py3-none-any.whl
Algorithm Hash digest
SHA256 8d4d292e4eae71ebe33fc0786b62ff18787a88710c1b6594823104a7dedc0f79
MD5 87d8b3d4b6c6b05ebba528ab6b522655
BLAKE2b-256 bdf64a06665eaf9a752011698fa4a31a38f0c5b56186e7c6593516880338a0fd

See more details on using hashes here.

Supported by

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