teaching:progappchim:matplotlib_simple

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teaching:progappchim:matplotlib_simple [2022/09/29 08:13] – [Références] villersdteaching:progappchim:matplotlib_simple [2022/10/20 10:37] – [Références] villersd
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     - Figure with multiple 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://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
  
  
 +===== 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 =====
   * [[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 : 
  • teaching/progappchim/matplotlib_simple.txt
  • Dernière modification : 2023/07/11 07:46
  • de villersd