Speaker
Fredo Erxleben
(Helmholtz-Zentrum Dresden-Rossendorf)
Description
This day will have the following content:
- The Series Data Type: Learn about the fundamental data type used for labelled sequential data.
- Introduction to DataFrames: Get to know a more advanced data type to deal with multi-dimensional data.
- Accessing Data: Learn about multiple ways to access subsections of a Series or a DataFrame and singular elements in it.
- Filtering Data: Learn how to create filter masks to separate out the interesting data.
- Modifying Data: Learn how to add and manipulate existing data in a DataFrame or Series.
- Hands-on Exercise (Pandas) Loading Data: Try out your newly learned skills on a real-live data set. In this section, you will learn how to load a complex data set and re-shape it into a usable form based on the provided metadata. The instructors are available to give advice and feedback.
