Iris
A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data
Install / Use
/learn @SciTools/IrisREADME
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#ShowYourStripes
<h4 align="center"> <a href="https://showyourstripes.info/s/globe"> <img src="https://raw.githubusercontent.com/ed-hawkins/show-your-stripes/master/2021/GLOBE---1850-2021-MO.png" height="50" width="800" alt="#showyourstripes Global 1850-2021"></a> </h4>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.
<p> <a href="https://showyourstripes.info/s/globe">#ShowYourStripes</a> is distributed under a <a href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a> <a href="https://creativecommons.org/licenses/by/4.0/"> <img src="https://i.creativecommons.org/l/by/4.0/80x15.png" alt="creative-commons-by" style="border-width:0"></a> </p>