Iris is available using conda for the following platforms:
Mac OSX 64-bit, and
Windows 10 now has support for Linux distributions via WSL (Windows Subsystem for Linux). This is a great option to get started with Iris for users and developers. Be aware that we do not currently test against any WSL distributions.
Iris is currently supported and tested against Python 3.10, 3.8 and 3.9 running on Linux. We do not currently actively test on other platforms such as Windows or macOS.
This documentation was built using Python 3.10.8.
Installing Using Conda (Users)#
To install Iris using conda, you must first download and install conda, for example from https://docs.conda.io/en/latest/miniconda.html.
Once conda is installed, you can install Iris using conda with the following command:
conda install -c conda-forge iris
If you wish to run any of the code in the gallery you will also need the Iris sample data. This can also be installed using conda:
conda install -c conda-forge iris-sample-data
Further documentation on using conda and the features it provides can be found at https://docs.conda.io/projects/conda/en/latest/index.html.
Installing from Source Without Conda on Debian-Based Linux Distros (Developers)#
Iris can also be installed without a conda environment. The instructions in this section are valid for Debian-based Linux distributions (Debian, Ubuntu, Kubuntu, etc.).
Iris and its dependencies need some shared libraries in order to work properly. These can be installed with apt:
sudo apt-get install python3-pip python3-tk libudunits2-dev libproj-dev proj-bin libgeos-dev libcunit1-dev
The rest can be done with pip:
pip3 install scitools-iris
This procedure was tested on a Ubuntu 20.04 system on the 26th of July, 2021. Be aware that through updates of the involved Debian packages, dependency conflicts might arise or the procedure might have to be modified.
Installing from Source with Conda (Developers)#
The latest Iris source release is available from https://github.com/SciTools/iris.
Once conda is installed, you can install Iris using conda and then activate it. The example commands below assume you are in the root directory of your local copy of Iris:
conda env create --force --file=requirements/ci/iris.yml conda activate iris-dev
--force option, used when creating the environment, first removes
any previously existing
iris-dev environment of the same name. This is
particularly useful when rebuilding your environment due to a change in
requirements/ci/iris.yml file defines the Iris development conda
environment name and all the relevant top level conda-forge package
dependencies that you need to code, test, and build the
documentation. If you wish to minimise the environment footprint, simply
remove any unwanted packages from the requirements file e.g., if you don’t
intend to run the Iris tests locally or build the documentation, then remove
all the packages from the testing and documentation sections.
requirements/ci/iris.yml file will always use the latest
Iris tested Python version available. For all Python versions that
are supported and tested against by Iris, view the contents of
the requirements/ci directory.
Finally you need to run the command to configure your shell environment to find your local Iris code:
python setup.py develop
Running the Tests#
To ensure your setup is configured correctly you can run the test suite using the command:
For more information see Testing Iris in a Manually Created Environment.
Custom Site Configuration#
The default site configuration values can be overridden by creating the file
iris/etc/site.cfg. For example, the following snippet can be used to
specify a non-standard location for your dot executable:
[System] dot_path = /usr/bin/dot
An example configuration file is available in
iris.config() for further configuration options.