| Les deux révisions précédentes Révision précédente Prochaine révision | Révision précédente Prochaine révisionLes deux révisions suivantes |
| teaching:progappchim:matplotlib_simple [2021/01/08 11:40] – [Références] villersd | teaching:progappchim:matplotlib_simple [2021/01/22 10:44] – [Références] villersd |
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| * [[https://towardsdatascience.com/making-publication-quality-figures-in-python-part-i-fig-and-axes-d86c3903ad9b|Making publication-quality figures in Python (Part I): Fig and Axes]] (Guangyuan (Frank) Li, Medium, Jan, 2021) | * [[https://towardsdatascience.com/making-publication-quality-figures-in-python-part-i-fig-and-axes-d86c3903ad9b|Making publication-quality figures in Python (Part I): Fig and Axes]] (Guangyuan (Frank) Li, Medium, Jan, 2021) |
| * [[https://towardsdatascience.com/making-publication-quality-figures-in-python-part-ii-line-plot-legends-colors-4430a5891706|Making publication-quality figures in python (Part II): Line plot, Legends, Colors]] (Guangyuan (Frank) Li, Medium, Jan, 2021) | * [[https://towardsdatascience.com/making-publication-quality-figures-in-python-part-ii-line-plot-legends-colors-4430a5891706|Making publication-quality figures in python (Part II): Line plot, Legends, Colors]] (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/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://towardsdatascience.com/making-matplotlib-beautiful-by-default-d0d41e3534fd|Making Matplotlib Beautiful By Default - Use Seaborn to control Matplotlib defaults (and forget that shade of blue forever)]] Callum Ballard, Medium, 22/05/2020 | * [[https://towardsdatascience.com/making-matplotlib-beautiful-by-default-d0d41e3534fd|Making Matplotlib Beautiful By Default - Use Seaborn to control Matplotlib defaults (and forget that shade of blue forever)]] Callum Ballard, Medium, 22/05/2020 |
| * [[https://towardsdatascience.com/creative-report-designed-only-with-matplotlib-without-office-software-9d8b5af4f9c2|Creative report designed only with Matplotlib, without office software]] Yefeng Xia, Medium, 04/01/2021 | * [[https://towardsdatascience.com/creative-report-designed-only-with-matplotlib-without-office-software-9d8b5af4f9c2|Creative report designed only with Matplotlib, without office software]] Yefeng Xia, Medium, 04/01/2021 |
| | * [[https://towardsdatascience.com/texts-fonts-and-annotations-with-pythons-matplotlib-dfbdea19fc57|Texts, Fonts, and Annotations with Python’s Matplotlib - When and how to use texts in your data visualizations]] Thiago Carvalho, Medium, 21/01/2021 |
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