Ethoscopy
Ethoscopy user manual
Getting started
Installing ethoscopy as a docker container with ethoscope-lab (recommended). The ethoscope-lab d...
Metadata design
What is the metadata? The metadata is a simple .csv file that contains the information to (1) fi...
Loading the data
Setting up To begin you need three paths saved as variables: the path to the metadata .csv fi...
Behavpy
About
Behavpy is the default object in ethoscopy, a way of storing your metadata and data in a single s...
Basic methods
Behavpy has lots of built in methods to manipulate your data. The next few sections will walk you...
Visualising your data
Once the behavpy object is created, the print function will just show your data structure. If yo...
Visualising mAGO data
Within the Gilestro lab we have special adaptations to the ethoscope which includes the mAGO, a m...
Behavpy - Circadian analysis
At the Gilestro lab we work on sleep and often need to do a lot of circadian analysis to complime...
Behavpy - Hidden Markov Model
Behavpy_HMM is an extension of behavpy that revolves around the use of Hidden Markov Models (HMM)...
Jupyter tutorials
Ethoscopy is best used in a Jupyter instance. We provide a pre-baked docker container that comes ...