angus-g/lagrangian-filtering: 0.9.0beta1

This provides a library and a post-processing analysis tool for the removal of sub-inertial frequencies from data in a Lagrangian frame of reference. This may be useful, for example, for distinguishing stationary internal waves. At a high level, the algorithm looks like:

1. particle advection using OceanParcels
2. sampling of data (e.g. velocity, density) along particle tracks
3. temporal filtering
4. writing filtered data back to disk