Pandas is an open-source python library that provides simple data structures and data analysis tools similar to R. Pandas is especially great for time-series data which is fantastic for the atmospheric sciences since most of our data is time-indexed. It is my experience that most libraries passed around the atmospheric community are written for Igor Pro, which is a proprietary software. Although great for time-indexed data analysis, it costs quite a bit of money (>$0).
As I am set to begin my PhD at MIT this coming September, I have decided to launch the atmospy python library - a python library dedicated to the atmospheric sciences. My goal is to build the library as I move on with my education (and have time). I would like to make this a formal announcement to recruit any others that would like to contribute to the project to do so.
Goals for the library
- Include basic plotting techniques such as diurnal profiles, wind-roses, etc
- Include data munging techniques that output into commonly used formats such as ICARTT
- Include common (and uncommon) models such as MEGAN, and others I'm not familiar with
If anyone has any thoughts, ideas, or would like to contribute, please contact me as I would love your help. You can also send any pull requests to the github repository.