A powerful, format-agnostic, community-driven Python package for analysing and visualising Earth science data
Project description
Iris is a powerful, format-agnostic, community-driven Python package for analysing and visualising Earth science data
| ⚙️ CI |     |
| 💬 Community |    |
| 📖 Documentation |  |
| 📈 Health |  |
| ✨ Meta |     |
| 📦 Package |     |
| 🧰 Repo |    |
For documentation see the latest developer version or the most recent released stable version.
#ShowYourStripes
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
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 Distribution
scitools-iris-3.7.0rc0.tar.gz
(1.8 MB
view hashes)
Built Distribution
Close
Hashes for scitools_iris-3.7.0rc0-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 81742070fda36ea85cb31c1c31f69ec3ed5fe4cdeba0917aa01fabb6501a36e1 |
|
| MD5 | e451cf3f33a08e8ad22623a07e5ba74f |
|
| BLAKE2b-256 | 567a22b7510abb8447eea86617220a6beedcbb9d6645483ecbc5425cfd9bd32d |
