Iris can be installed using conda or pip.
Iris is currently supported and tested against Python 3.10, 3.11 and 3.9 running on Linux. We do not currently actively test on other platforms such as Windows or macOS.
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 contributors. Be aware that we do not currently test against any WSL distributions.
This documentation was built using Python 3.11.5.
Installing a Released Version Using Conda#
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 a Released Version Using Pip#
Iris is also available from https://pypi.org/ so can be installed with
pip install scitools-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 pip:
pip install iris-sample-data
Installing a Development Version from a Git Checkout#
The latest Iris source release is available from SciTools/iris.
Once conda is installed, you can create a development environment for 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/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/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/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 directory.
Finally you need to run the command to configure your environment to find your local Iris code. From your Iris directory run:
pip install --no-deps --editable .
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.