Skip to main content

A collection of tools for data analysis and plotting that originated in the McCutcheon Lab (UiT, Tromso)

Project description

trompy

A collection of tools for plotting and data analysis from McCutcheon Lab based at UiT in Tromsø, Norway (hence trom-py). We study ingestive behavior and motivation in rodent neuroscience experiments but code may be useful in other settings.

Highlights include:

  • GUI for analyzing lick patterns in rodent feeding and drinking experiments [^1]
  • GUI for analyzing fiber photometry data from rodent neuroscience experiments
  • Function for plotting bar plots with individual data points
  • Function for reading data files produced by Med Associates behavioral equipment
  • Functions for analyzing patterns of licking in rodent experiments
  • Functions for performing ROC (receiver-operator characteristic) analysis

[^1]: GUIs are now available as separate packages: https://github.com/mccutcheonlab/Lick-Calc-GUI and https://github.com/mccutcheonlab/photogui

Code is maintained by James McCutcheon, Dept of Psychology, UiT The Arctic University of Norway.

Installation

The simplest way to install is via the pip package manager. Briefly, from a terminal run

pip install trompy

Dependencies will be automatically downloaded but are also listed in environment

Previous versions

https://pypi.org/project/trompy/#history

How to cite this project?

Please email jmc010@uit.no to get instructions on how to properly cite this project.

Contributing

You are welcome to contribute to the code via pull requests. Please have a look at the NLeSC guide for guidelines about software development.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

trompy-0.15.8.tar.gz (43.7 kB view details)

Uploaded Source

File details

Details for the file trompy-0.15.8.tar.gz.

File metadata

  • Download URL: trompy-0.15.8.tar.gz
  • Upload date:
  • Size: 43.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.9

File hashes

Hashes for trompy-0.15.8.tar.gz
Algorithm Hash digest
SHA256 29bd5858e9d5fd8c6213a5119f5e6899e90e662d0f7304aca320f3ab83fb3c34
MD5 75ea7c643740a580a9616a06a079b2e0
BLAKE2b-256 03d69981b2100fe0610e8a464f07328eeb8f86b5fc8e20ded5f1dbba15db8282

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page