teaching:progappchim:matplotlib_simple

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teaching:progappchim:matplotlib_simple [2020/06/02 15:08] – [Galerie d'exemples] villersdteaching:progappchim:matplotlib_simple [2020/06/30 08:38] – [Références] villersd
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   * [[https://towardsdatascience.com/animations-with-matplotlib-d96375c5442c|Animations with Matplotlib]] FIXME   * [[https://towardsdatascience.com/animations-with-matplotlib-d96375c5442c|Animations with Matplotlib]] FIXME
   * [[https://matplotlib.org/gallery/animation/rain.html]]   * [[https://matplotlib.org/gallery/animation/rain.html]]
 +
 +===== Styles =====
 +  * [[https://dvillers.umons.ac.be/wiki/teaching:progappchim:matplotlib_simple#references|teaching:progappchim:matplotlib_simple [Didier Villers, UMONS - wiki]]]
 +  * [[https://tonysyu.github.io/matplotlib-style-gallery.html#.XtmoqDDgpqs|Matplotlib Style Gallery - Tony S. Yu]]
 +  * [[https://matplotlib.org/3.2.1/tutorials/introductory/customizing.html|Customizing Matplotlib with style sheets and rcParams — Matplotlib 3.2.1 documentation]]
 +  * [[https://jakevdp.github.io/PythonDataScienceHandbook/04.11-settings-and-stylesheets.html|Customizing Matplotlib: Configurations and Stylesheets | Python Data Science Handbook]]
 +  * [[https://matplotlib.org/3.2.1/gallery/style_sheets/style_sheets_reference.html|Style sheets reference — Matplotlib 3.2.1 documentation]]
 +  * [[https://github.com/dhaitz/mplcyberpunk|dhaitz/mplcyberpunk: “Cyberpunk style” for matplotlib plots]]
 +
  
 ===== Références ===== ===== Références =====
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   * [[https://towardsdatascience.com/a-step-by-step-guide-for-creating-advanced-python-data-visualizations-with-seaborn-matplotlib-1579d6a1a7d0|A step-by-step guide for creating advanced Python data visualizations with Seaborn / Matplotlib]]   * [[https://towardsdatascience.com/a-step-by-step-guide-for-creating-advanced-python-data-visualizations-with-seaborn-matplotlib-1579d6a1a7d0|A step-by-step guide for creating advanced Python data visualizations with Seaborn / Matplotlib]]
   * [[https://medium.com/dunder-data/create-a-bar-chart-race-animation-in-python-with-matplotlib-477ed1590096|Creating a Bar Chart Race Animation in Python with Matplotlib]]   * [[https://medium.com/dunder-data/create-a-bar-chart-race-animation-in-python-with-matplotlib-477ed1590096|Creating a Bar Chart Race Animation in Python with Matplotlib]]
 +  * [[https://medium.com/python-in-plain-english/radar-chart-basics-with-pythons-matplotlib-ba9e002ddbcd|Radar Chart Basics with Python’s Matplotlib]]
 +
  
 ==== Exemples ==== ==== Exemples ====
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     * [[http://nbviewer.jupyter.org/github/jming/cs109/blob/master/lec_03_statistical_graphs.ipynb|A Gallery of Statistical Graphs in Matplotlib]]     * [[http://nbviewer.jupyter.org/github/jming/cs109/blob/master/lec_03_statistical_graphs.ipynb|A Gallery of Statistical Graphs in Matplotlib]]
     * [[http://nbviewer.jupyter.org/url/jakevdp.github.com/downloads/notebooks/XKCD_plots.ipynb|XKCD plots in Matplotlib]] + [[http://nbviewer.jupyter.org/url/jakevdp.github.io/downloads/notebooks/XKCD_sketch_path.ipynb|ceci]]     * [[http://nbviewer.jupyter.org/url/jakevdp.github.com/downloads/notebooks/XKCD_plots.ipynb|XKCD plots in Matplotlib]] + [[http://nbviewer.jupyter.org/url/jakevdp.github.io/downloads/notebooks/XKCD_sketch_path.ipynb|ceci]]
 +  * [[https://github.com/naveenv92/python-science-tutorial|Python Science Tutorials]] Naveen Venkatesan, contains a series of scripts and notebooks to help people get acclimated to using Python for scientific publications.
  • teaching/progappchim/matplotlib_simple.txt
  • Dernière modification : 2023/07/11 07:46
  • de villersd