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Tools for quick visualization of three dimensional datasets.

Project description

Data slicer

The data-slicer package offers fast 3D data visualization tools with plugin capabilites.

The package was developed to deal with the high data throughput of modern measurement instruments, where quick visualizations and preliminary analyses are necessary to guide the direction of a measurement session.

Documentation

This README just gives a minimal overview. For more information, guides, examples and more, visit the documentation which is hosted by the friendly people over at ReadTheDocs.org: https://data-slicer.readthedocs.io/en/latest/

Installation

data-slicer should run on all platforms that support python and has been shown to run on Windows, macOS ans Linux.

The package can be installed from PyPI using pip install data_slicer. It is recommended to do this from within some sort of virtual environment. Visit the documentation for more detailed instructions: https://data-slicer.readthedocs.io/en/latest/installation.html

Contributing

If you are familiar with the workflow on github, feel free to go ahead and create a pull request or open an issue. If you are unsure of what that means but are willing to contribute, contact Kevin Kramer via email: kevin.kramer@uzh.ch

Plugins

If you have created a PIT plugin, feel free to add it to the list below, either via pull request or through an email (see above).

Plugin Name (link) Description
ds-arpes-plugin tools for angle-resolved photoelectron spectroscopy (ARPES)

Project details


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