Module 4: Introduction to Pandas

This model will teach you how to user Pandas. Some functionalities in Pyleoclim are supported by Pandas (and we will add more in the coming year). For now, Pandas represent the easiest way to get non-LiPD formatted data into Python for use with Pyleoclim. One of the main reasons we do not use Pandas is because most its advanced capabilities require a datetime format incompatible with paleoclimate data.

1Reading data from a csv

2Slicing and plotting

About this course

This is a free, open source course on how to use different Data Science Tools such as Jupyter Notebooks, relevant Python libraries, GitHub, and information about making your science FAIR. It's made possible by a long and fruitful collaboration to NSF and EarthCube. Contributions and comments on how to improve the course are welcome! To file an issue go to:

About me

For nearly a decade, the EarthCube community has been transforming the conduct of geosciences research by developing and maintaining a well-connected and facile environment that improves access, sharing, visualization, and analysis of data and related resources. While sharable tools, methods, and cyberinfrastructure have been critical achievements for EarthCube, we find that our dedicated community is what makes our program successful. LinkedEarth builds upon EarthCube success, specifically targeting the paleogeosciences community.