Iris seeks to provide a powerful, easy to use, and community-driven Python library for analysing and visualising meteorological and oceanographic data sets.
With Iris you can:
- Use a single API to work on your data, irrespective of its original format.
- Read and write (CF-)netCDF, GRIB, and PP files.
- Easily produce graphs and maps via integration with matplotlib and cartopy.
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Installation guide
including dependency details -
User guide
an introduction to Iris and its core concepts -
Reference documentation
complete Iris package reference help -
Gallery
a collection of images produced using Iris -
Developer's guide
guide for SciTools developers -
Whitepapers
extra information on specific technical issues -
What's new in Iris 2.0?
recent changes in Iris's capabilities