The gallery is divided into sections as described below. All entries show the code used to produce the example plot. Additionally there are links to download the code directly as source or as part of a jupyter notebook, these links are at the bottom of the page.
In order to successfully view the jupyter notebook locally so you may
experiment with the code you will need an environment setup with the
appropriate dependencies, see Installing for instructions.
iris-sample-data is installed as it is used in the gallery.
Additionally ensure that you install
jupyter. The command to install both
conda install -c conda-forge iris-sample-data jupyter
Once you have downloaded the notebooks (bottom of each gallery page), you may start the jupyter notebook via:
If you wish to contribute to the gallery see the Gallery section of the Contributing to the Documentation.
Example of a Polar Stereographic Plot
Quickplot of a 2D Cube on a Map
Multi-Line Temperature Profile Plot
Applying a Filter to a Time-Series
Deriving the Coriolis Frequency Over the Globe
Calculating a Custom Statistic
Zonal Mean Diagram of Air Temperature
Colouring Anomaly Data With Logarithmic Scaling
Plotting in Different Projections
Loading a Cube From a Custom File Format
Hovmoller Diagram of Monthly Surface Temperature
Plotting Wind Direction Using Quiver
Plotting Wind Direction Using Barbs
Deriving Exner Pressure and Air Temperature
Global Average Annual Temperature Plot
Global Average Annual Temperature Maps
Tri-Polar Grid Projected Plotting
Load a Time Series of Data From the NEMO Model
Oceanographic Profiles and T-S Diagrams