Matplotlib aims to enable users to create customizable visualizations through own components or third parties, all in a few lines of Python code.
Matplotlib was created by John Hunter in 2002, intitially to show figures like MatLab could. The public started recognizing this package as the go-to package because it was also used by the Space Telescope Science Institute, and thereby gained more popularity 1.
Currently, Matplotlib is used for the following high-level cases:
- To preview figures in a Jupyter notebook
- To save figures locally as images at publication-like quality
- To dynamically render figures serverside
VanderPlas, J. (2013, 23 maart). Matplotlib and the Future of Visualization in Python. Pythonic Perambulations. https://jakevdp.github.io/blog/2013/03/23/matplotlib-and-the-future-of-visualization-in-python/ ↩︎
Data Science Master's student @TU Delft. Splitting between Machine Learning and Software Engineering.
After graduating from the BSc Computer Science at TU Delft last year, I started my Master's programme this year in the same field.
Changes linestyle parameter of flierprops
This PR fixes some code examples with regards to statistical graphs.
linestyle='none' has no effect in removing the marker edges, thus
it was changed to
markeredgecolor='none' to achieve this outcome.
This PR fixes some typos in several documentation files.