GitHub / milaan9 / 12_Python_Seaborn_Module
Seaborn is one of the go-to tools for statistical data visualization in python. It has been actively developed since 2012 and in July 2018, the author released version 0.9. This version of Seaborn has several new plotting features, API changes and documentation updates which combine to enhance an already great library. This article will walk through a few of the highlights and show how to use the new scatter and line plot functions for quickly creating very useful visualizations of data.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/milaan9%2F12_Python_Seaborn_Module
Stars: 227
Forks: 199
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 9.61 MB
Dependencies parsed at: Pending
Created at: almost 4 years ago
Updated at: 22 days ago
Pushed at: over 2 years ago
Last synced at: 15 days ago
Topics: barplots, boxplot, data-visualization, distplot, facetgrid, heatmap, ipython-notebooks, lmplot, python-seaborn, python-visualization, python4datascience, python4everybody, scatterplot-visualization, seaborn, seaborn-image, seaborn-plots, seaborn-tutorial, stripplots, tutor-milaan9, violinplot