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: BSD License (BSD-3-Clause)
  • 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 Ruff 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: BSD License (BSD-3-Clause)
  • 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

This version

3.8.0

3.8.0rc0 pre-release

3.7.1

3.7.0

3.7.0rc0 pre-release

3.6.1

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-3.8.0.tar.gz (1.9 MB view details)

Uploaded Source

Built Distribution

scitools_iris-3.8.0-py3-none-any.whl (2.6 MB view details)

Uploaded Python 3

File details

Details for the file scitools-iris-3.8.0.tar.gz.

File metadata

  • Download URL: scitools-iris-3.8.0.tar.gz
  • Upload date:
  • Size: 1.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for scitools-iris-3.8.0.tar.gz
Algorithm Hash digest
SHA256 64acfe3195f7f52f110b023efaf71304e7558374b1cbe28fc95d828b2428daaf
MD5 7ce8dc03bf5ff074292aa7b425b73bf4
BLAKE2b-256 e265bd0139dd18091af11924d056f47c462d1ca92d456d09bfc6775cabb4c1f3

See more details on using hashes here.

File details

Details for the file scitools_iris-3.8.0-py3-none-any.whl.

File metadata

File hashes

Hashes for scitools_iris-3.8.0-py3-none-any.whl
Algorithm Hash digest
SHA256 4e29385e81779d452c3edca64761b503bfc1e21ec720cde35891aebf002f6edc
MD5 236f799bdc530a0166f9072465053e6c
BLAKE2b-256 f6f23450be792e40261115bfed4a6438b476e6f05faccea5fdf8f9821dbafc78

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