Pandas is great for searching, filtering and manipulating data and information can be
visualised in charts easily using Matplotlib module. These charts are static and
provide a snapshot of data that can be annotated to highlight certain data points.
These are great for posters, slides and printed materials. It would be …
Pandas is a Python package that provides fast data manipulation and analysis of
structured data. It has grown in popularity recently with the rise of data analytics
and machine learning. The source code for pandas is available on GitHub, but it is
more common to install the binary package using something like pip …
It can be nice to add a footnote or a header note to a Matplotlib chart. The easiest
way to do this is with annotate function. The exact position, size orientation can be
controlled and multiple notes can be added to charts.