Tutorial¶

PyGeode is a Python library intended to help with the management, analysis, and visualization of geophysical datasets. It was originally developed with the intent of dealing with the output of an atmospheric general circulation model (specifically the Canadian Middle Atmosphere Model), but the library has been applied to many gridded dataset.

PyGeode is based on a number of existing third party libraries which it uses to perform the underlying computations and manipulations. Much of the underlying computation and manipulation is done using numpy, and PyGeode adopts many of its conventions. Some use is also made of scipy, and matplotlib is used for plotting. At present a small number of routines from the GSL are also used for interpolation; this may change in the future to remove this dependency.

While there is no strict need to use the ipython interpreter, the plotting features in combination with matplotlib are quite convenient and this tutorial has been written assuming you are working with this combination. It can also be run within a jupyter notebook. All the commands given should still work in any other interpreter.

The tutorial is split up into a series of parts, beginning with a brief overview the main features of the library and then proceeding through the different features in greater detail.