Visualization - John Naulty, Ross Barnowski, Biye Jiang, Jennifer Jones

Attending

• Anyone is welcome. We hope you’ll join us!

Meeting Info

• When: 4:00pm - 5:30pm
• Where: BIDS, Room 190 of Doe Library.
• Who: Anyone interested in software development best practices is welcome to come to our meetings.
• How: A predetermined main topic (45 minutes) will be followed by impromptu lightning talks (5 minutes each)

John Naulty

Bio

Ross Barnowski

… likes computers

pyqtgraph

Install: pip install pyqtgraph

Demo: python -m pyqtgraph.examples

Description of pyqtgraph

My Take: pyqtgraph is less user-friendly than matplotlib (esp. the documentation; the gallery contains far fewer examples and doesn’t do a good job of covering all of the possible features and uses of pyqtgraph), but is very feature-rich and more performance-oriented, despite still being pure python. There are several scenarios in which pyqtgraph is definitely worth looking into:

• The need for speed: pyqtgraph is in many cases much faster than matplotlib (see demo). Also has built-in support for remote plot updating.
• Volumetric rendering: If you need to visualize in 3D, pyqtgraph has a lot to offer. The other de-facto python 3D-visualization library is mayavi — I would say pyqtgraph has a slightly steeper learning curve and is a little less pretty, but again is much faster than mayavi. I don’t have enough experience with yt to say how it compares.
• Building Qt Applications: If you’re using python-ized Qt (either PySide or PyQt) to build a GUI, pyqtgraph integrates very nicely. It is built with the same tools!
• Beyond Visualization: The author(s) of pyqtgraph had the goal of making it a general science/engineering tool. There are a lot of built-in features designed to aid in analyzing data visually and interactively. See the Data Slicing and Image Analysis examples to get a feel for this.

Jennifer Jones

This is my Bio

Biye Jiang

I am a third year CS PhD at Cal, working with Prof. John Canny, on topics like making machine learing more easier to use. Checkout our BIDMach project.

Here is the ipython notebook I will use in the talk. This will be similar to our data science class.

Discussion: Topic Description

Please insert your topic description here. Bold text, italic text, hyperlinks, and other markup follow markdown syntax.

Please place any tutorial materials in the master branch of this repository and link to them from this post like so. For help and questions, please file an issue or email Katy.

Lightning Talks

Finally, there will be a time for a couple of Lightning Talks, which are 5-10 minute blasts of information about a particular topic or question of interest to the group. This topic can be anything useful, new, or interesting to scientists who compute. It may be some new skill you have recently picked up in your research, a productivity tool you have recently learned to love, a quick demo of a useful library, or anything you feel we would enjoy learning.
Note that the lightning talk time is a good way to bring a question to the group. If you have a bug you need help with, here’s the place to ask many ears about it at once.

Name : Topic

Notes and links

Name : Topic

Notes and links