Introduction

Glider are ususally available as time series. For example, the measured temperature can be extracted from the glider data as function of time. In the post-processing of gliderdata, the user can reference the measured time series to other coordinates, such as depth (or pressure), latitude and longitude. Often it is desirable to treat a glider time series on a per profile basis. When the daa are separated into profiles, it becomes fairly straight forward to compare one file to the next, interpolate a profile on a given grid and other analysis. The python module profiles provide a class to split glider data into profiles using the class definition profiles.profiles.ProfileSplitter.