Visualising data¶

This tutorial provides an overview of the various Python libraries that you can use for data visualisation. It was developed from the cusy training courses on data visualisation with Python.

It is currently very difficult to get an Overview of the libraries for data visualisation of the libraries for data visualisation. In the following, we try to simplify the search for the right library by taking a closer look at some aspects:

Technologies
Central libraries
pandas .plot()-API
Further high-level APIs
Rendering large amounts of data
Diagram types (statistical representations, regular and irregular grids, etc.)

We then give a practical introduction to the most common Python libraries.

However, we will not cover design principles, the structure of a diagram, data storytelling or the selection of the appropriate diagram type. However, we would like to refer you to the cusy Design-System.

In addition, the PyViz tutorial is part of a series of tutorials on data analysis and visualisation:

All tutorials serve as seminar documents for our harmonised training courses:

Duration	Topic
3 days	Introduction to Python
2 days	Advanced Python
2 days	Design patterns in Python
2 days	Efficient testing with Python
1 day	Software documentation with Sphinx
2 days	Technical writing
3 days	Jupyter notebooks for efficient data science workflows
2 days	Numerical calculations with NumPy
2 days	Analysing data with pandas
3 days	Read, write and provide data with Python
2 days	Cleanse and validate data with Python
5 days	Visualising data with Python
1 days	Designing data visualisations
2 days	Create dashboards
3 days	Versioned and reproducible storage of code and data
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