Gallery

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 Iris for instructions. Ensure that iris-sample-data is installed as it is used in the gallery. Additionally ensure that you install jupyter. The command to install both is:

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:

jupyter notebook

If you wish to contribute to the gallery see the Gallery section of the Contributing to the Documentation.

General

Figure 1 Example of a Polar Stereographic Plot

Figure 2 Quickplot of a 2D Cube on a Map

Figure 3 Cross Section Plots

Figure 4 Multi-Line Temperature Profile Plot

Figure 5 Fitting a Polynomial

Figure 6 Rotated Pole Mapping

Figure 7 Test Data Showing Inset Plots

Figure 8 Applying a Filter to a Time-Series

Figure 9 Deriving the Coriolis Frequency Over the Globe

Figure 10 Calculating a Custom Statistic

Figure 11 Colouring Anomaly Data With Logarithmic Scaling

Figure 12 Plotting in Different Projections

Figure 13 Loading a Cube From a Custom File Format

Meteorology

Figure 14 Ionosphere Space Weather

Figure 15 Hovmoller Diagram of Monthly Surface Temperature

Figure 16 Plotting Wind Direction Using Quiver

Figure 17 Deriving Exner Pressure and Air Temperature

Figure 18 Global Average Annual Temperature Plot

Figure 19 Seasonal Ensemble Model Plots

Figure 20 Global Average Annual Temperature Maps

Oceanography

Figure 21 Tri-Polar Grid Projected Plotting

Figure 22 Load a Time Series of Data From the NEMO Model

Figure 23 Oceanographic Profiles and T-S Diagrams