- seaborn: statistical data visualization — seaborn 0. 13. 2 documentation
Seaborn is a Python data visualization library based on matplotlib It provides a high-level interface for drawing attractive and informative statistical graphics
- An introduction to seaborn — seaborn 0. 13. 2 documentation
An introduction to seaborn # Seaborn is a library for making statistical graphics in Python It builds on top of matplotlib and integrates closely with pandas data structures Seaborn helps you explore and understand your data
- User guide and tutorial — seaborn 0. 13. 2 documentation
User guide and tutorial # An introduction to seaborn A high-level API for statistical graphics Multivariate views on complex datasets Opinionated defaults and flexible customization
- API reference — seaborn 0. 13. 2 documentation
API reference # Objects interface # Plot object #Mark objects # Dot marks
- Installing and getting started — seaborn 0. 13. 2 documentation
The seaborn codebase is pure Python, and the library should generally install without issue Occasionally, difficulties will arise because the dependencies include compiled code and link to system libraries
- Controlling figure aesthetics — seaborn 0. 13. 2 documentation
Seaborn splits matplotlib parameters into two independent groups The first group sets the aesthetic style of the plot, and the second scales various elements of the figure so that it can be easily incorporated into different contexts
- seaborn. boxplot — seaborn 0. 13. 2 documentation
log_scalebool or number, or pair of bools or numbers Set axis scale (s) to log A single value sets the data axis for any numeric axes in the plot A pair of values sets each axis independently Numeric values are interpreted as the desired base (default 10) When None or False, seaborn defers to the existing Axes scale New in version v0 13 0
- seaborn. heatmap — seaborn 0. 13. 2 documentation
seaborn heatmap # seaborn heatmap(data, *, vmin=None, vmax=None, cmap=None, center=None, robust=False, annot=None, fmt=' 2g', annot_kws=None, linewidths=0, linecolor='white', cbar=True, cbar_kws=None, cbar_ax=None, square=False, xticklabels='auto', yticklabels='auto', mask=None, ax=None, **kwargs) #
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