- 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
- 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
- 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
seaborn pairplot # seaborn pairplot(data, *, hue=None, hue_order=None, palette=None, vars=None, x_vars=None, y_vars=None, kind='scatter', diag_kind='auto', markers=None, height=2 5, aspect=1, corner=False, dropna=False, plot_kws=None, diag_kws=None, grid_kws=None, size=None) # Plot pairwise relationships in a dataset
- seaborn. displot — seaborn 0. 13. 2 documentation
When None or False, seaborn defers to the existing Axes scale legendbool If False, suppress the legend for semantic variables palettestring, list, dict, or matplotlib colors Colormap Method for choosing the colors to use when mapping the hue semantic String values are passed to color_palette()
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