Les deux révisions précédentes Révision précédente Prochaine révision | Révision précédente Prochaine révisionLes deux révisions suivantes |
teaching:progappchim:pandas [2019/11/22 11:49] – villersd | teaching:progappchim:pandas [2021/01/31 17:55] – [Exemples divers] villersd |
---|
* [[http://pandas.pydata.org/pandas-docs/version/0.20/cookbook.html|cookbook]] | * [[http://pandas.pydata.org/pandas-docs/version/0.20/cookbook.html|cookbook]] |
* [[http://pandas.pydata.org/pandas-docs/stable/user_guide/visualization.html|Visualisation]] | * [[http://pandas.pydata.org/pandas-docs/stable/user_guide/visualization.html|Visualisation]] |
| * [[https://www.datacamp.com/community/blog/python-pandas-cheat-sheet|Pandas Cheat Sheet for Data Science in Python]] |
| |
===== Applications, exemples ===== | ===== Applications, exemples ===== |
* autres représentations | * autres représentations |
* différentiation suivant le genre, l'âge | * différentiation suivant le genre, l'âge |
| * utiliser d'autres fonctions, comme nsmallest() et nlargest(), value_counts() (se baser sur la documentation officielle) |
* ... | * ... |
| |
df.Weight.plot.hist() | df.Weight.plot.hist() |
</code> | </code> |
| |
| ===== Interface utilisateur graphique ===== |
| * [[https://github.com/adamerose/pandasgui|PandasGUI]] |
| * [[https://towardsdatascience.com/pandasgui-analyzing-pandas-dataframes-with-a-graphical-user-interface-36f5c1357b1d|PandasGUI: Analyzing Pandas dataframes with a Graphical User Interface - Accessing Pandas Dataframes with a simple click of the mouse]] Parul Pandey, Medium, 24/10/2020 |
| * [[https://github.com/tkrabel/bamboolib|bamboolib]] (closed source - non libre) |
| |
===== Références ===== | ===== Références ===== |
* [[http://cmdlinetips.com/2018/03/how-to-make-boxplots-in-python-with-pandas-and-seaborn/|How to Make Boxplots in Python with Pandas and Seaborn?]] (and Gapminder dataset) | * [[http://cmdlinetips.com/2018/03/how-to-make-boxplots-in-python-with-pandas-and-seaborn/|How to Make Boxplots in Python with Pandas and Seaborn?]] (and Gapminder dataset) |
* [[https://www.geeksforgeeks.org/box-plot-visualization-with-pandas-and-seaborn/|Box plot visualization with Pandas and Seaborn]] | * [[https://www.geeksforgeeks.org/box-plot-visualization-with-pandas-and-seaborn/|Box plot visualization with Pandas and Seaborn]] |
| * [[https://towardsdatascience.com/complete-guide-to-data-visualization-with-python-2dd74df12b5e|Complete Guide to Data Visualization with Python]] (avec différentes librairies : matplotlib, Seaborn, bokeh, Altair, Folium avec des cartes,...) |
| * [[https://towardsdatascience.com/introducing-bamboolib-a-gui-for-pandas-4f6c091089e3|Introducing Bamboolib — a GUI for Pandas]] (utilisation gratuite ou payante via une activation nécessaire dans jupyter) |
| * [[https://bamboolib.8080labs.com/]] |
| * [[https://github.com/tkrabel/bamboolib]] |
| * [[https://towardsdatascience.com/violin-plot-its-time-to-ditch-the-box-plots-785629b0ff3a|Violin Plot — It’s Time to Ditch the Box Plots]] |
| * [[https://towardsdatascience.com/reshape-pandas-dataframe-with-melt-in-python-tutorial-and-visualization-29ec1450bb02|Reshape pandas dataframe with melt in Python — tutorial and visualization]] |
| * [[https://pandas.pydata.org/docs/reference/api/pandas.melt.html|pandas.melt]] (documentation) |
| * groupby : |
| * [[https://towardsdatascience.com/learn-how-to-master-groupby-function-in-python-now-4620dd463224|Learn how to master groupby function in Python now | by WY Fok | Towards Data Science]] |
| * [[https://towardsdatascience.com/less-known-pandas-groupby-applications-in-python-72fb304a1973|Less known Pandas groupby applications in Python | by WY Fok | Aug, 2020 | Towards Data Science]] |
| * remplacer Excel (ou calc de libreoffice) |
| * [[https://towardsdatascience.com/how-to-ditch-excel-a-primer-to-python-c4a9c192e993|Ditch Excel! — A Primer to Python - Pandas one-liners for popular excel stuff]], Medium 01/09/2020 |
| * [[https://towardsdatascience.com/how-not-to-write-pandas-code-2cbda8b3816c|How NOT to write pandas code]] |
| * [[https://towardsdatascience.com/40-examples-to-master-pandas-c69d058f434e|40 Examples to Master Pandas - A comprehensive practical guide]] |
| * [[https://towardsdatascience.com/pandas-fundamentals-for-beginners-that-will-help-you-code-like-a-pro-2ff5e34fee09|Pandas fundamentals every data scientist needs to know - To boost your performance and code like a pro]] Mısra Turp, Medium, 07/01/2021 |
| |
==== Datasets ==== | ==== Datasets ==== |
* régressions linéaires : | * régressions linéaires : |
* [[http://www.xavierdupre.fr/app/ensae_teaching_cs/helpsphinx/notebooks/td2a_eco_regressions_lineaires.html]] | * [[http://www.xavierdupre.fr/app/ensae_teaching_cs/helpsphinx/notebooks/td2a_eco_regressions_lineaires.html]] |
| * [[https://towardsdatascience.com/effectively-visualize-data-across-time-to-tell-better-stories-2a2c276e031e|Effectively visualize data across time to tell better stories]] (Pandas & Plotly) |
| * [[https://medium.com/analytics-vidhya/statistical-analysis-in-python-using-pandas-27c6a4209de2|Statistical Analysis in Python using Pandas]] Tanvi Penumudy, Medium, dec 31, 2020 |
| |