- 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
- 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
- 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
- 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
- API reference — seaborn 0. 13. 2 documentation
API reference # Objects interface # Plot object #Mark objects # Dot marks
- seaborn. lineplot — seaborn 0. 13. 2 documentation
seaborn lineplot(data=None, *, x=None, y=None, hue=None, size=None, style=None, units=None, weights=None, palette=None, hue_order=None, hue_norm=None, sizes=None, size_order=None, size_norm=None, dashes=True, markers=None, style_order=None, estimator='mean', errorbar=('ci', 95), n_boot=1000, seed=None, orient='x', sort=True, err_style='band
- seaborn. pairplot — seaborn 0. 13. 2 documentation
Order for the levels of the hue variable in the palette palettedict or seaborn color palette Set of colors for mapping the hue variable If a dict, keys should be values in the hue variable varslist of variable names Variables within data to use, otherwise use every column with a numeric datatype {x, y}_varslists of variable names
- seaborn. kdeplot — seaborn 0. 13. 2 documentation
seaborn kdeplot(data=None, *, x=None, y=None, hue=None, weights=None, palette=None, hue_order=None, hue_norm=None, color=None, fill=None, multiple='layer', common_norm=True, common_grid=False, cumulative=False, bw_method='scott', bw_adjust=1, warn_singular=True, log_scale=None, levels=10, thresh=0 05, gridsize=200, cut=3, clip=None, legend=True
|