Preparation

This session is concerned with more advanced data management and with plotting.

To prepare, work through the following materials:

Data management

• Selecting rows and columns

• Merging and concatenating DataFrames

• Managing data with a complex structure: the principles of normal forms, which motivate keeping data in several small tables and merging them as needed

• Optional, further reading: Data management: Tips, tricks, and advanced topics

Plotting

• Goals and workflow for plotting

• Practical approach

• Quick plots with plotly express (example code)

• Customizing plots created with plotly express (example code)

• Customizing plots with graph objects (example code)

Many of the plotting screencasts have example code you can download and play around with.

Make sure to run

pixi run plotly_get_chrome

before attempting to export static plots with plotly. Feel free to watch “Why plotly? And a prerequisite” for background on that and on the Python plotting landscape.