| Les deux révisions précédentes Révision précédente Prochaine révision | Révision précédente |
| teaching:progappchim:matplotlib_simple [2022/04/21 09:12] – villersd | teaching:progappchim:matplotlib_simple [2023/07/11 07:46] (Version actuelle) – [Références] villersd |
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| * [[https://medium.com/@neuralnets/statistical-data-visualization-series-with-python-and-seaborn-for-data-science-5a73b128851d|Data Visualization with Python and Seaborn]] | * [[https://medium.com/@neuralnets/statistical-data-visualization-series-with-python-and-seaborn-for-data-science-5a73b128851d|Data Visualization with Python and Seaborn]] |
| * [[https://medium.com/codex/a-reference-notebook-for-30-statistical-charts-in-seaborn-9da14b156ef9|A Reference Notebook for (+30) Statistical Charts in Seaborn]] Anello, Medium, 02/04/2021 | * [[https://medium.com/codex/a-reference-notebook-for-30-statistical-charts-in-seaborn-9da14b156ef9|A Reference Notebook for (+30) Statistical Charts in Seaborn]] Anello, Medium, 02/04/2021 |
| | * [[https://medium.com/geekculture/8-best-seaborn-visualizations-20143a4b3b2f|8 Best Seaborn Visualizations - How to plot statistical graphs using the Python Seaborn library?]] Tirendaz Academy, Medium, 07/05/2022 |
| | * [[https://manimplotlib.readthedocs.io/en/latest/index.html|manimplotlib]], libraire de graphes animés |
| * [[https://waterprogramming.wordpress.com/2016/04/29/interactive-plotting-basics-in-matplotlib/|Interactive plotting basics in matplotlib]] | * [[https://waterprogramming.wordpress.com/2016/04/29/interactive-plotting-basics-in-matplotlib/|Interactive plotting basics in matplotlib]] |
| * [[https://heartbeat.fritz.ai/introduction-to-matplotlib-data-visualization-in-python-d9143287ae39|Introduction to Matplotlib — Data Visualization in Python]] | * [[https://heartbeat.fritz.ai/introduction-to-matplotlib-data-visualization-in-python-d9143287ae39|Introduction to Matplotlib — Data Visualization in Python]] |
| * [[https://towardsdatascience.com/making-publication-quality-figures-in-python-part-iii-box-plot-bar-plot-scatter-plot-407fa457449|Making publication-quality figures in Python (Part III): box plot, bar plot, scatter plot, histogram, heatmap, color map - Walking you through how to understand the mechanisms behind these widely-used figure types]] (Guangyuan (Frank) Li, Medium, Jan, 2021) | * [[https://towardsdatascience.com/making-publication-quality-figures-in-python-part-iii-box-plot-bar-plot-scatter-plot-407fa457449|Making publication-quality figures in Python (Part III): box plot, bar plot, scatter plot, histogram, heatmap, color map - Walking you through how to understand the mechanisms behind these widely-used figure types]] (Guangyuan (Frank) Li, Medium, Jan, 2021) |
| * [[https://towardsdatascience.com/making-publication-quality-figures-in-python-part-iv-violin-plot-and-dendrogram-ed0bb8b23ddd|Making publication-quality figures in Python (Part IV): Violin plot and dendrogram - Drawing violin plot and dendrogram from the scratch, a step-by-step guide]] (Guangyuan (Frank) Li, Medium, Jan, 2021) | * [[https://towardsdatascience.com/making-publication-quality-figures-in-python-part-iv-violin-plot-and-dendrogram-ed0bb8b23ddd|Making publication-quality figures in Python (Part IV): Violin plot and dendrogram - Drawing violin plot and dendrogram from the scratch, a step-by-step guide]] (Guangyuan (Frank) Li, Medium, Jan, 2021) |
| | * [[https://medium.com/@mathcube7/violin-plots-in-matplotlib-fcba7232c8c1|Violin plots in matplotlib. Your dose of Scientific Python]] Mathcube, Medium, 07/04/2023 |
| * [[https://towardsdatascience.com/all-you-need-to-know-about-seaborn-6678a02f31ff|All you need to know about Seaborn - When should I use Seaborn versus matplotlib, and how to use it?]] (Guangyuan (Frank) Li, Medium, Jan, 2021) | * [[https://towardsdatascience.com/all-you-need-to-know-about-seaborn-6678a02f31ff|All you need to know about Seaborn - When should I use Seaborn versus matplotlib, and how to use it?]] (Guangyuan (Frank) Li, Medium, Jan, 2021) |
| * [[https://github.com/frankligy/python_visualization_tutorial|GitHub - frankligy/python_visualization_tutorial: A comprehensive guide of how to make publication-ready figures in python]] | * [[https://github.com/frankligy/python_visualization_tutorial|GitHub - frankligy/python_visualization_tutorial: A comprehensive guide of how to make publication-ready figures in python]] |
| * [[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 |
| | * [[https://towardsdatascience.com/12-essential-visualizations-and-how-to-implement-them-part-2-e47c1d4b9784|2 Essential Visualizations and How to Implement Them, Part 2 - We look at how to create the 12 most useful graphs and charts in Python and Streamlit]] Alan Jones, Medium, 19/10/2022 |
| | * [[https://ibexorigin.medium.com/yes-these-unbelievable-masterpieces-are-created-with-matplotlib-22780667dee|Yes, These Unbelievable Masterpieces Are Created With Matplotlib - Next to them, my plots are doodle sketches]] Bex T., Medium, 03/07/2023 |
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| ==== Exemples ==== | ===== 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 |
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| | ===== Exemples ===== |
| * [[https://towardsdatascience.com/5-quick-and-easy-data-visualizations-in-python-with-code-a2284bae952f|5 Quick and Easy Data Visualizations in Python with Code]] | * [[https://towardsdatascience.com/5-quick-and-easy-data-visualizations-in-python-with-code-a2284bae952f|5 Quick and Easy Data Visualizations in Python with Code]] |
| * Jupyter notebooks : | * Jupyter notebooks : |