https://github.com/tacaswell/2021-03_APS

https://github.com/tacaswell/2021-03_APS

Last synced: 27 days ago
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• Host: GitHub
• URL: https://github.com/tacaswell/2021-03_APS
• Owner: tacaswell
• License: bsd-3-clause
• Created: 2021-03-09T05:18:39.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2021-06-16T00:01:05.000Z (about 3 years ago)
• Last Synced: 2024-02-19T01:32:42.508Z (4 months ago)
• Language: Jupyter Notebook
• Size: 46.6 MB
• Stars: 7
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Matplotlib and Scientific Visualization

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/tacaswell/2021-03_APS/main?urlpath=lab)

## Abstract L61.00005

Data visualization is critical to understanding data in physics. Visualization

is important in the early stages of understanding a measurement or a model and,

later, in communicating it clearly. Physicists need to produce visualizations

that fit their specific problem, often including multiple axes or novel plot

types. They need tools that make common tasks like scatter and line plots easy

and complex tasks like compound figures possible.

Matplotlib is the foundational data visualization library for the Scientific

Python Ecosystem. It is used by working physicists, from high-profile projects

like LIGO and the Event Horizon Telescope. to the day-to-day work of students,

for interactive exploratory visualization and publication-ready figures.

This talk will highlight some of the key features of the library, focusing on

examples of interactive multi-scale visualizations and tuning figures in

preparation for publication. I will also briefly discuss our future plans to

evolve the library to meet the future needs of our users.

## Code

This repo is the code for the exmaples and slide for the above talk.