SPyOD is the python implementation of the Spectral Proper Orthogonal Decomposition published by Sieber et al. in 2016.

It includes two .py-files:

• spod.py – Includes the function spod which calculates the SPOD and
• findpairs.py – Includes the post-processing of the SPOD in the function findpairs which finds linked modes as described in Sieber et al. in 2016

and one jupyter notebook example example_SPOD_free_jet.ipynb of the SPOD of experimental PIV data from a free jet flow. The data are stored in PIV_jext_example.mat.

The paper describing the SPOD method is made publicly available by the TU Berlin at the following link.

SPyOD was developed by Grigorios Hatzissawidis and Moritz Sieber.