Skip to main content

A powerful, format-agnostic, community-driven Python package for analysing and visualising Earth science data

Project description

Iris

Iris is a powerful, format-agnostic, community-driven Python package for analysing and visualising Earth science data

⚙️ CI ci-manifest ci-tests ci-wheels pre-commit
💬 Community Contributor Covenant GH Discussions twitter
📖 Documentation rtd
📈 Health codecov
✨ Meta code style - black NEP29 license - bds-3-clause conda platform
📦 Package DOI conda-forge pypi pypi - python version
🧰 Repo commits-since contributors release

For documentation see the latest developer version or the most recent released stable version.

#ShowYourStripes

#showyourstripes Global 1850-2021

Graphics and Lead Scientist: Ed Hawkins, National Centre for Atmospheric Science, University of Reading.

Data: Berkeley Earth, NOAA, UK Met Office, MeteoSwiss, DWD, SMHI, UoR, Meteo France & ZAMG.

#ShowYourStripes is distributed under a Creative Commons Attribution 4.0 International License creative-commons-by

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

scitools-iris-3.6.1.tar.gz (1.8 MB view details)

Uploaded Source

Built Distribution

scitools_iris-3.6.1-py3-none-any.whl (2.6 MB view details)

Uploaded Python 3

File details

Details for the file scitools-iris-3.6.1.tar.gz.

File metadata

  • Download URL: scitools-iris-3.6.1.tar.gz
  • Upload date:
  • Size: 1.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.4

File hashes

Hashes for scitools-iris-3.6.1.tar.gz
Algorithm Hash digest
SHA256 77502f6dc25f2ae6e189929001fd5684055529efab227b4bc6f18857b917757b
MD5 acd47c438a9c3051be5abf3a5196cb05
BLAKE2b-256 0e9761782b608f174b322adcd6c9fd210303572cb06656ccb24fab2acf079427

See more details on using hashes here.

File details

Details for the file scitools_iris-3.6.1-py3-none-any.whl.

File metadata

File hashes

Hashes for scitools_iris-3.6.1-py3-none-any.whl
Algorithm Hash digest
SHA256 14e788f6e285bf179e073733faea1fec989cf247070e28ed43d3e56e786a5670
MD5 819517cf78cbd2426742bca82756dd50
BLAKE2b-256 9a37d1b58686aab68e513142bbde3377b65210c42202046e1dbf36e5a2868358

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