2021-08-03 | Blog 003
A few weeks back I made a funky GIF, posted below. It got quite a few likes/views on the old Twitter so thought I'd post it here for easy finding.
Plotting of LiDAR windspeed data at different heights.
— Rory Morrison (@rory_morrison) July 2, 2021
I had an idea based off of @matplotlib's "Matplotlib Unchained".
Before anyone says it, I KNOW the flow isn't turbulent. The titles just fit well with "Joy Division|Unknown Pleasures".#Python #data #wind pic.twitter.com/xMaCsKXJwR
About half of the code (and the general idea) was taken from the following matplotlib gallery. MATPLOTLIB UNCHAINED. The other half of the code was adapting the random lines to represent real LiDAR data. LiDARs are tools for measuring windspeeds at different heights. Hence, the different lines represent the different measurement heights, and the spiked-ness represents the wind measurement.
I'm glad how it came out. It wasn't much of a leap to come up with the idea. It did end up taking a while to produce though as it refused to save in a nice GIF format...
In other news, I did a c++ course on LinkedIn Learning. I did NOT rate it. Both literally (you can't seem to rate courses on LL) and figuratively. The examples the course instructor gave were nonsense and overly complex. I'm learning c++ as I'm tentatively scheduled to do a training on a highly customizable bit of software called OpenFOAM. OpenFOAM is for fluid dynamics simulations.
Rory
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