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-0.16.4.tar.gz (50.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

trompy-0.16.4-py3-none-any.whl (46.5 kB view details)

Uploaded Python 3

File details

Details for the file trompy-0.16.4.tar.gz.

File metadata

  • Download URL: trompy-0.16.4.tar.gz
  • Upload date:
  • Size: 50.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.10

File hashes

Hashes for trompy-0.16.4.tar.gz
Algorithm Hash digest
SHA256 c6f678550c3194130a55dd046a853a26f1baf27948b8f4d50229e1d96d9dcf9a
MD5 7469c40d7e991dab794cdf4f42d8bdf1
BLAKE2b-256 8d701d8c7a4e78a48bc5c4df792eac4c6a63131addd5ca9aec4541aceecda089

See more details on using hashes here.

File details

Details for the file trompy-0.16.4-py3-none-any.whl.

File metadata

  • Download URL: trompy-0.16.4-py3-none-any.whl
  • Upload date:
  • Size: 46.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.10

File hashes

Hashes for trompy-0.16.4-py3-none-any.whl
Algorithm Hash digest
SHA256 a63c66404baee97e3e5f1bba8d5d886f8e0b882fc5c9eaf6e969210d7165af84
MD5 10b7c05a8f5ac41cc1084b3095860482
BLAKE2b-256 8104ce00bb91183d53b9ec1ea89e1cd25d3a2b3d04c3a72579744153f84b9c09

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