Part 1: Use Pandas to index, split, apply, and combine data
- To prepare for this session, please go to my EAA github site and clone or fork it.
- Start the Jupyter notebook and open the file
session_6_prep.ipynb. If you use Spyder, for the Python file click here.
- Using the EBA Risk Dashboard data, can you show the evolution of non-performing loans over time?
Part 2: Post-discussion of Assignment 1
- We will debrief
assignment_1.
- We will try to answer the question if the data shows that U.S. bank liquidity increased since the start of 2020 (and why).