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

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for Bill.Little from gravatar.com Bill.Little Avatar for dkillick from gravatar.com dkillick Avatar for ESadek-MO from gravatar.com ESadek-MO Avatar for HGWright from gravatar.com HGWright Avatar for lbdreyer from gravatar.com lbdreyer Avatar for martin.yeo from gravatar.com martin.yeo Avatar for pelson from gravatar.com pelson Avatar for ppmo from gravatar.com ppmo Avatar for QuLogic from gravatar.com QuLogic Avatar for stephen.worsley from gravatar.com stephen.worsley

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU Lesser General Public License v3 or later (LGPLv3+) (LGPL-3.0-or-later)
  • Author: Iris Contributors
  • Tags cf-metadata, data-analysis, earth-science, grib, netcdf, meteorology, oceanography, space-weather, ugrid, visualisation
  • Requires: Python >=3.9
Classifiers

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

Verified details

These details have been verified by PyPI
Maintainers
Avatar for Bill.Little from gravatar.com Bill.Little Avatar for dkillick from gravatar.com dkillick Avatar for ESadek-MO from gravatar.com ESadek-MO Avatar for HGWright from gravatar.com HGWright Avatar for lbdreyer from gravatar.com lbdreyer Avatar for martin.yeo from gravatar.com martin.yeo Avatar for pelson from gravatar.com pelson Avatar for ppmo from gravatar.com ppmo Avatar for QuLogic from gravatar.com QuLogic Avatar for stephen.worsley from gravatar.com stephen.worsley

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU Lesser General Public License v3 or later (LGPLv3+) (LGPL-3.0-or-later)
  • Author: Iris Contributors
  • Tags cf-metadata, data-analysis, earth-science, grib, netcdf, meteorology, oceanography, space-weather, ugrid, visualisation
  • Requires: Python >=3.9
Classifiers

Release history Release notifications | RSS feed

3.11.0

3.11.0rc0 pre-release

3.10.0

3.10.0rc0 pre-release

3.9.0

3.9.0rc0 pre-release

3.8.1

3.8.0

3.8.0rc0 pre-release

3.7.1

3.7.0

3.7.0rc0 pre-release

3.6.1

This version

3.6.0

3.6.0rc0 pre-release

3.5.0

3.5.0rc0 pre-release

3.4.1

3.4.0

3.4.0rc0 pre-release

3.3.1

3.3.0

3.3.0rc0 pre-release

3.2.1.post0

3.2.1

3.2.0.post0

3.1.0

3.0.4

3.0.3

3.0.2

3.0.1

3.0.0

2.4.0

2.3.0

2.2.0

2.1.0

2.0.0

2.0.0rc1 pre-release

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-3.6.0.tar.gz (1.8 MB view details)

Uploaded Source

Built Distribution

scitools_iris-3.6.0-py3-none-any.whl (2.6 MB view details)

Uploaded Python 3

File details

Details for the file scitools-iris-3.6.0.tar.gz.

File metadata

  • Download URL: scitools-iris-3.6.0.tar.gz
  • Upload date:
  • Size: 1.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.3

File hashes

Hashes for scitools-iris-3.6.0.tar.gz
Algorithm Hash digest
SHA256 f245617e4f2992edbf2e395d988b9d6f6d1c2bff1c823ad27ef8046d951a2123
MD5 0f498b723a79c43386898664c884fbfe
BLAKE2b-256 30818eea40eb865c469d247679f976f2a516596ea673b8b99b996d19959bc81e

See more details on using hashes here.

File details

Details for the file scitools_iris-3.6.0-py3-none-any.whl.

File metadata

File hashes

Hashes for scitools_iris-3.6.0-py3-none-any.whl
Algorithm Hash digest
SHA256 bfa6f4b80c153a7a3c8ea7561b4a9436b14534fd12acb763407a148645573699
MD5 fcbe216e4b5918b142a24c6032b6eaa1
BLAKE2b-256 a622e43cf9585db0ded0fdf8dc0dd8b61c37608701f79e5e478a72b52080de95

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