seaborn
0.10.1
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Official seaborn tutorial
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Plotting functions
Visualizing statistical relationships
Relating variables with scatter plots
Emphasizing continuity with line plots
Showing multiple relationships with facets
Plotting with categorical data
Categorical scatterplots
Distributions of observations within categories
Statistical estimation within categories
Plotting “wide-form” data
Showing multiple relationships with facets
Visualizing the distribution of a dataset
Plotting univariate distributions
Plotting bivariate distributions
Visualizing pairwise relationships in a dataset
Visualizing linear relationships
Functions to draw linear regression models
Fitting different kinds of models
Conditioning on other variables
Controlling the size and shape of the plot
Plotting a regression in other contexts
Multi-plot grids
Building structured multi-plot grids
Conditional small multiples
Using custom functions
Plotting pairwise data relationships
Plot aesthetics
Controlling figure aesthetics
Seaborn figure styles
Removing axes spines
Temporarily setting figure style
Overriding elements of the seaborn styles
Scaling plot elements
Choosing color palettes
Building color palettes
Qualitative color palettes
Sequential color palettes
Diverging color palettes
Setting the default color palette