Iris#

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

Iris implements a data model based on the CF conventions giving you a powerful, format-agnostic interface for working with your data. It excels when working with multi-dimensional Earth Science data, where tabular representations become unwieldy and inefficient.

For more information see Why Iris.

Getting Started

Installing and gallery examples.

User Manual

Learn how to use Iris.

Developers Guide

Contribute to Iris as a developer.

Developers Guide

Iris API

Iris functionality by module.

generated/api/iris.html

What’s New

Recent changes in Iris.

What’s New in Iris

Voted Issues

Raise the profile of issues by voting.

Icons made by FreePik from Flaticon

Colouring Anomaly Data With Logarithmic Scaling

Deriving the Coriolis Frequency Over the Globe

Cross Section Plots

Calculating a Custom Statistic

Loading a Cube From a Custom File Format

Quickplot of a 2D Cube on a Map

Test Data Showing Inset Plots

Multi-Line Temperature Profile Plot

Example of a Polar Stereographic Plot

Fitting a Polynomial

Plotting in Different Projections

Rotated Pole Mapping

Applying a Filter to a Time-Series

Zonal Mean Diagram of Air Temperature

Global Average Annual Temperature Plot

Global Average Annual Temperature Maps

Deriving Exner Pressure and Air Temperature

Hovmoller Diagram of Monthly Surface Temperature

Seasonal Ensemble Model Plots

Ionosphere Space Weather

Plotting Wind Direction Using Barbs

Plotting Wind Direction Using Quiver

Oceanographic Profiles and T-S Diagrams

Load a Time Series of Data From the NEMO Model

Tri-Polar Grid Projected Plotting

Gallery Carousel

Support#

We, the Iris developers have adopted GitHub Discussions to capture any discussions or support questions related to Iris.

See also StackOverflow for “How Do I? that may be useful but we do not actively monitor this.

The legacy support resources:

Users Google Group
Developers Google Group
Legacy Documentation (Iris 2.4 or earlier). This is an archive of zip files of past documentation. You can download, unzip and view the documentation locally (index.html). There may be some incorrect rendering and older javascvript (.js) files may show a warning when uncompressing, in which case we suggest you use a different unzip tool.