Analysis of luminescence spectroscopy data with HyperSpy.
Project description
LumiSpy is a Python package extending the functionality for multi-dimensional data analysis provided by the HyperSpy library. It is aimed at helping with the analysis of luminescence spectroscopy data (cathodoluminescence, photoluminescence, electroluminescence, Raman, SNOM).
If analysis using LumiSpy forms a part of published work, please consider recognising the code development by citing the project using the Zenodo-DOI.
Go to the documentation for instructions on how to install LumiSpy and start an analysis: Read the docs.
Tutorials and exemplary workflows have been curated as a series of Jupyter notebooks that you can work through and modify to perform many common analyses. These can be either downloaded and run locally or tried out using interactive online sessions.
Everyone is welcome to contribute. Please read our contributing guidelines and get started!
Development of LumiSpy is documented in the changelog.
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
Built Distribution
File details
Details for the file lumispy-0.2.2.tar.gz
.
File metadata
- Download URL: lumispy-0.2.2.tar.gz
- Upload date:
- Size: 54.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7257a79d936127b40edc1897fac8d89e7a29e7db3b39d8f063392b0ac2e6e513 |
|
MD5 | 8c70d7efa7817d14387521b171c5de6e |
|
BLAKE2b-256 | a54dc4a0ee98616e2776a379e1f4e032349827687b61634dc05b363f56ad9696 |
File details
Details for the file lumispy-0.2.2-py3-none-any.whl
.
File metadata
- Download URL: lumispy-0.2.2-py3-none-any.whl
- Upload date:
- Size: 60.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3c7a79197c43823c499ab97312edcdd3852a4440ca503fda4b2efc3bd97db1c4 |
|
MD5 | fb8dc32c518cdc89f52d68a9fda7e9a2 |
|
BLAKE2b-256 | fbbcaadf6c92610c06afc1ffa0d882990caafda8c9db1316e15e2692a27974c6 |