| Les deux révisions précédentes Révision précédente Prochaine révision | Révision précédente Prochaine révisionLes deux révisions suivantes |
| teaching:progappchim:matplotlib_simple [2022/05/12 14:47] – villersd | teaching:progappchim:matplotlib_simple [2022/10/20 09:16] – villersd |
|---|
| * [[https://medium.com/dataseries/mastering-matplotlib-part-1-a480109171e3|Mastering Matplotlib: Part 1. Understanding Matplotlib Architecture...]] by Lawrence Alaso Krukrubo - DataSeries - Medium, 17/06/2020 | * [[https://medium.com/dataseries/mastering-matplotlib-part-1-a480109171e3|Mastering Matplotlib: Part 1. Understanding Matplotlib Architecture...]] by Lawrence Alaso Krukrubo - DataSeries - Medium, 17/06/2020 |
| * [[https://medium.com/dataseries/mastering-matplotlib-part-2-a5114433fa0|Mastering Matplotlib: Part 2. Exploring Matplotlib-Pandas]] by Lawrence Alaso Krukrubo - DataSeries - Medium, 29/06/2020 | * [[https://medium.com/dataseries/mastering-matplotlib-part-2-a5114433fa0|Mastering Matplotlib: Part 2. Exploring Matplotlib-Pandas]] by Lawrence Alaso Krukrubo - DataSeries - Medium, 29/06/2020 |
| * [[https://levelup.gitconnected.com/matplotlib-ultimate-cheat-sheet-2021-2bcd1646f41e|Matplotlib Ultimate Cheat Sheet (2021) | * [[https://levelup.gitconnected.com/matplotlib-ultimate-cheat-sheet-2021-2bcd1646f41e|Matplotlib Ultimate Cheat Sheet (2021) The complete guide to Matplotlib in Python for your plotting needs]] Nathaniel J, 04/05/2021 |
| The complete guide to Matplotlib in Python for your plotting needs]] Nathaniel J, 04/05/2021 | * [[https://towardsdatascience.com/4-things-to-know-to-have-a-better-understanding-of-matplotlib-a84ed54b3b2c|4 Things to Know to Have a Better Understanding of Matplotlib - Getting familiar with one of the original Python data visualization libraries]] Soner Yıldırım, 16/09/2022, Medium |
| | - Figure and Axes |
| | - Some things can be implicit |
| | - Labels on Figure and Axes |
| | - Figure with multiple Axes |
| | * [[https://medium.com/codex/how-to-create-scientific-plots-using-matplotlib-python-and-latex-23a471c8bb69|How to Create Scientific Plots Using Matplotlib, Python, and LaTeX]] Berkay Kullukçu, Medium, 16/08/2022 |
| |
| | |
| | ===== Références générales sur les graphiques et visualisations ou représentations visuelles ===== |
| | * Principes généraux, histoire,... |
| | * [[https://www.edwardtufte.com/tufte/books_vdqi|The Visual Display of Quantitative Information]] Edward Tufte |
| | * [[http://www.openculture.com/2019/07/napoleons-disastrous-invasion-of-russia-explained-in-an-1869-data-visualization.html|Napoleon’s Disastrous Invasion of Russia Detailed in an 1869 Data Visualization: It’s Been Called “the Best Statistical Graphic Ever Drawn”]] |
| | |
| | * Articles intéressants : |
| | * [[https://medium.com/python-in-plain-english/pie-chart-basics-with-pythons-matplotlib-972637f3c53e|Pie Chart Basics with Python’s Matplotlib]] |
| | * [[https://towardsdatascience.com/6-reasons-why-you-should-stop-using-histograms-and-which-plot-you-should-use-instead-31f937a0a81c|6 Reasons Why You Should Stop Using Histograms (and Which Plot You Should Use Instead)]] Histograms are not free of biases. Actually, they are arbitrary and may lead to wrong conclusions about data. If you want to visualize a variable, better to choose a different plot. Samuele Mazzanti, Medium, 24/01/2021 |
| | * [[https://towardsdatascience.com/hands-on-guide-to-create-beautiful-sankey-charts-in-d3js-with-python-8ddab43edb43|Hands-on Guide to Create beautiful Sankey Charts in d3js with Python - The Sankey chart is a great way to discover the most prominent contributions just by looking at how individual items flow across states]] Erdogan Taskesen, Medium, 19/10/2022 |
| |
| ==== Exemples ==== | ==== Exemples ==== |