Posts tagged advanced
Edward Tufte’s NYC Weather In Bokeh
- 19 July 2023
Hello, everyone! Welcome back to Cameron’s Corner. This week, I wanted to expand upon using Bokeh to visualize the weather by revisiting the Edward Tufte NYC Weather in 2003 visualization I recreated in Matplotlib. Except, this time, I want to see if Bokeh is up to the challenge.
All of the data & set up will be identical to the previous post from March, so we can gloss over those details. If you’re up to date, feel free to skip down to the Recreating Tufte in Bokeh section.
Tufte Weather In Matplotlib
- 08 March 2023
Edward Tufte is one of the pioneers of modern-day data visualization. In his work, he is brilliantly able to distill core concepts that can then be applied to nearly any form of visual communication. If you aren’t familiar with his work and are interested in the topic of data visualization in general, I highly recommend Tufte’s book, “The Visual Display of Quantitative Information”.
Given the era in which they were created, almost all of Tufte’s original works are hand drawn, relying on pen and paper. As such, his work is as artistic as it is informational, providing unique visualizations that focus attention and convey meaningful messages.
Matplotlib: Arbitrary Precision
- 07 December 2022
It’s no secret that matplotlib is one of my favorite tools in Python (sorry, pandas, I promise you’re a close second). But, I’m not sure if I’ve shared why I think matplotlib is such a great tool. I don’t love it because of its redundant APIs or simply because I’m familiar with it, I think matplotlib is a great tool because it has near-infinite flexibility. I refer to this as “arbitrary precision” as you can be as precise or imprecise as you want.
Want to put a Polygon in some arbitrary location?
The Central Limit Theorem - Visualized
- 28 September 2022
For this week, I’m finally sharing the code I wrote to produce my visualization demonstrating the Central Limit Theorem! But before we get to the code, I wanted to discuss the impact of this visualization and how it can be interpreted.
This is a very brief background & example of the Central Limit Theorem and is not intended to be comprehensive.
Matplotlib Legends: Artists & Handlers
- 17 August 2022
Hey all, got some matplotlib for you this week. I wanted to start touching on some more advanced ideas about it and decided to demonstrate a question I answered on Stack Overflow not long ago.
The question asked about custom legend artists- essentially asking “How can I change the style of the artists matplotlib presents in a given legend.” While the longest way to do this is to construct a Legend manually, thankfully matplotlib provides an escape hatch in the form of the handler_map argument.
Python: Advanced Decorators
- 21 May 2022
- English
In a previous post, I shared a primer on how to approach the thinking of decorators and when we can apply them in our code. To summarize, we primarily see 3 entry points where decorators can dynamically effect our code:
entry point