Recent Books
Recently Updated Pages
Getting started
Installing ethoscopy as a docker container with ethoscope-lab (recommended). The ethoscope-lab d...
Basic methods
Behavpy has lots of built in methods to manipulate your data. The next few sections will walk you...
Periodograms
Periodograms are essential for definitely showing periodicity in a quantifiable way. Periodogra...
Circadian methods and plots
The below methods and plots should give a good insight into your specimens circadian rhythm. If y...
Jupyter tutorials
Ethoscopy is best used in a Jupyter instance. We provide a pre-baked docker container that comes ...
Visualising with the HMM
The best way to get to grips with your newly trained HMM is to decode some data and has a look at...
Training an HMM
Behavpy_HMM is an extension of behavpy that revolves around the use of Hidden Markov Models (HMM)...
Visualising your data
Once the behavpy object is created, the print function will just show your data structure. If yo...
About
Behavpy is the default object in ethoscopy, a way of storing your metadata and data in a single s...
Loading the data
Setting up To begin you need three paths saved as variables: the path to the metadata .csv fi...
Recent Activity








