Are there any methods for detecting binary time series periodicity?

Question

I am struggling with finding methods which can be used to detect the periodicity of binary time series.(the binary time series look like 0,0,1,0,0,1,0,0,1... or 1,0,0,0,1,1,0,1,0,0,0,0...)

Answer 1

You can try to solve this problem by using a Python's library, I think. I never experienced it but when I google it as "python how to detect a periodicity" then one of the first links on the search result was this.

According to this package;

Useful tools for analysis of periodicities in time series data.

Documentation: https://periodicity.readthedocs.io

Currently includes:

• Auto-Correlation Function
• Spectral methods:
  • Lomb-Scargle periodogram
  • Wavelet Transform
  • Hilbert-Huang Transform (WIP)
• Phase-folding methods:
  • String Length
  • Phase Dispersion Minimization
  • Analysis of Variance (soon™)
• Gaussian Processes:
  • george implementation
  • celerite implementation
  • pymc3 implementation (soon™)

Hope, this helps.