A python based toolkit to download and anlyse data from the Ethoscope hardware system.
Project description
ethoscopy
A data-analysis toolbox utilising the python language for use with data collected from 'Ethoscopes', a Drosophila video monitoring system.
For more information on the ethoscope system: https://www.notion.so/The-ethoscope-60952be38787404095aa99be37c42a27
Ethoscopy is made to work alongside this system, working as a post experiment analysis toolkit. Ethoscopy provides the tools to download epxerimental data from a remote ftp servers as setup in ethoscope tutorial. Downloaded data can be curated during the pipeline into a range of ways, all fromatted using the pandas data structure.
Further the ethoscopy package provides behavpy a subclassed version of pandas that combines metadata with the data for easily manipulation.
In addtion the behavpy class has hmmlearn imbedded, a python package for the use of hidden markov models (HMM) (https://hmmlearn.readthedocs.io/en/latest/). Here you can set the architecture and train a HMM of your choice. There are several plotting functions avaiable alongside side it to explore the hidden markov model, using plotly as graphing tool of choice.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for ethoscopy-0.1.3-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d88c389437f24455ec0be5b6ea14f6bd367013c781293edfdaeb8a9143550a7e |
|
MD5 | 3b8b68e604e81236676736fc8e965bf5 |
|
BLAKE2b-256 | 75279fe341ead479ba7816934262c505e8995ba36c1cb773600f1e830e32a24a |