Package for handling optical absorption data.
The UVVisPy package provides tools for handling experimental data obtained using UV-visible (UVVis) absorption spectroscopy and is derived from the ASpecD framework. Due to inheriting from the ASpecD superclasses, all data generated with the UVVisPy package are completely reproducible and have a complete history.
What is even better: Actual data processing and analysis no longer requires programming skills, but is as simple as writing a text file summarising all the steps you want to have been performed on your dataset(s) in an organised way. Curious? Have a look at the following example:
default_package: uvvispy datasets: - /path/to/first/dataset - /path/to/second/dataset tasks: - kind: processing type: BaselineCorrection properties: parameters: order: 0 - kind: singleplot type: SinglePlotter1D properties: filename: - first-dataset.pdf - second-dataset.pdf
For more general information on the UVVisPy package and for how to use it, see its documentation.
A list of features:
- Fully reproducible processing of UVVis data
- Import of UVVis data from different sources
- Generic plotting capabilities, easily extendable
- Report generation using pre-defined templates
- Recipe-driven data analysis, allowing tasks to be performed fully unattended in the background
And to make it even more convenient for users and future-proof:
- Open source project written in Python (>= 3.5)
- Extensive user and API documentation
The UVVisPy package is currently under active development and still considered in Beta development state. Therefore, expect frequent changes in features and public APIs that may break your own code. Nevertheless, feedback as well as feature requests are highly welcome.
The UVVisPy package addresses scientists working with UVVis data (both, measured and calculated) on a daily base and concerned with reproducibility. Due to being based on the ASpecD framework, the cwepr package ensures reproducibility and—as much as possible—replicability of data processing, starting from recording data and ending with their final (graphical) representation, e.g., in a peer-reviewed publication. This is achieved by automatically creating a gap-less record of each operation performed on your data. If you do care about reproducibility and are looking for a system that helps you to achieve this goal, the cwepr package may well be interesting for you.
Install the package by running:
pip install uvvispy
This program is free software: you can redistribute it and/or modify it under the terms of the BSD License.
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