Plotting data is one of the most essential parts of numerical computation. In pre-processing, during computation, and in post-processing, the ability to plot data on different kinds of graphs is essential. Visualization of data in a convenient format allows for better understanding of the process. Visual clues generate a lot of information about the process that generated that particular data. You can easily look for errors and derive simple as well as complex interpretations. A good programming language must incorporate facilities to plot data easily. Plotting two-dimensional (2-D) and three-dimensional (3-D) graphs is vital for creating a good visualization product. Python users have a number of choices in this regard.

Cited by 1

Plotting

Stan Wagon · 2010

Cited by 0

Plotting

The Institutional Repository (Pontifical University of Salamanca) · 2016

Cited by 0Open access

plotting

Data Archiving and Networked Services (DANS)

Cited by 0Open access

Plotting

Rob Mastrodomenico · 2022

Plotting is a key component when looking to work with data, and Python has a number of plotting libraries. This chapter covers plotting in great detail starting with creating basic plots directly from Pandas DataFrames to getting more control using matplotlib all the way through to using Seaborn. It shows a number of plots that readers can easily generate with pandas and matplotlib. The chapter presents Seaborn, which is the natural progression as its built using matplotlib and is highly coupled with pandas DataFrames. It is fully example driven with code snippets alongside the graphics they produce. The examples are based on datasets that come from with Python with many being taken from the documentation with the idea of giving them greater explanation to help the readers to understand what is happening.

Cited by 0

lucymathieson3/LeadLoss-Plotting: LeadLoss-Plotting

lucymathieson3 · Zenodo (CERN European Organization for Nuclear Research) · 2024

Initial release of additional code for plotting LeadLoss outputs to accompany Turning Trash into Treasure manuscript.

Cited by 1Open access