International Standard Atmosphere - part 1 - Data Plotting

This is the first video in the International Standard Atmosphere mini-series. We explore the atmospheric data gathered for more than 100 years and plot the data using python and the Datashader library that handles large datasets. We also explore the pitfalls of having a lot of data to plot and how to handle them. ______Useful Links______ next episode: https://youtu.be/RA9O5DRcWtA Flight Test Channel Github / ISA https://github.com/flight-test-engineering/PEC/tree/main/ISA USAF TPS Textbook https://ntrl.ntis.gov/NTRL/dashboard/searchResults/titleDetail/ADA170957.xhtml Society of Flight Test Engineers http://sfte.org/ http://sfte-ec.org/ JupyterLab https://github.com/jupyterlab/jupyterlab Rob’s Jupyterlab tutorial https://www.youtube.com/watch?v=5pf0_bpNbkw Python Basics https://pythonprogramming.net/python-fundamental-tutorials/ https://www.youtube.com/playlist?list=PLQVvvaa0QuDeAams7fkdcwOGBpGdHpXln Datashader https://datashader.org/ https://datashader.org/user_guide/Plotting_Pitfalls.html Integrated Global Radiosonde Archive (IGRA) https://www.ncei.noaa.gov/products/weather-balloon/integrated-global-radiosonde-archive Radiosonde explanation - NOAA https://www.noaa.gov/jetstream/upperair/radiosondes Sympy tutorial - Mr P Solver https://www.youtube.com/watch?v=1yBPEPhq54M ______Video Contents______ 00:00 - Intro 01:21 - What is a radiosonde 02:18 - NOAA/IGRA radiosonde data archive download 04:34 - Python IGRA parser / module installation 06:36 - Data parsing... 10:01 - Quick and dirty pressure plot 10:51 - Improved plot, but still... 12:02 - Temperature plot 13:03 - Datashader intro 13:56 - Plotting pitfalls 16:45 - Datashader install 18:21 - Datashader plot 21:09 - Multiple locations plot