# Statistical Data Visualization, the 'seaborn' Way

## Documentation for package ‘reaborn’ version 1.0.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

A B C D E F G H J K L M N P R S T V

## -- A --

axes_style | Get the parameters that control the general style of the plots

## -- B --

barplot | Show point estimates and errors as bars
blend_palette | Return a list of colors or a continuous colormap defining a palette
boxenplot | Draw an enhanced box plot for larger datasets
boxplot | Draw a box plot

## -- C --

catplot | Figure-level interface for categorical plots
clustermap | Plot a hierarchically-clustered heatmap
color_palette | Return a list of colors or a continuous colormap defining a palette
countplot | Show value counts as bars
cubehelix_palette | Return a list of colors or a continuous colormap defining a palette

## -- D --

dark_palette | Return a list of colors or a continuous colormap defining a palette
desaturate | Decrease the saturation of a color
despine | Remove spines from a plot
displot | Figure-level interface for distribution plots
diverging_palette | Return a list of colors or a continuous colormap defining a palette
dogplot | Who's a good boy?

## -- E --

ecdfplot | Plot an empirical cumulative distribution function

## -- F --

FacetGrid | A faceted grid of plots
False | Python literal compatibility values

## -- G --

get_dataset_names | Load an example dataset from the seaborn-data repository

## -- H --

heatmap | Plot rectangular data as a color-encoded matrix
histplot | Plot a univariate or bivariate histogram
hls_palette | Return a list of colors or a continuous colormap defining a palette
husl_palette | Return a list of colors or a continuous colormap defining a palette

## -- J --

jointplot | Draw a bivariate plot with marginal distributions

## -- K --

kdeplot | Plot a univariate or bivariate kernel density estimate

## -- L --

light_palette | Return a list of colors or a continuous colormap defining a palette
lineplot | Draw a line plot with aggregation and error bands
lmplot | Figure-level interface for regression plots
load_dataset | Load an example dataset from the seaborn-data repository

## -- M --

move_legend | Reposition a plot's legend
mpl_palette | Return a list of colors or a continuous colormap defining a palette

## -- N --

None | Python literal compatibility values

## -- P --

pairplot | Plot pairwise relationships in a dataset
palplot | Plot the values in a color palette as a horizontal array
plotting_context | Get the parameters that control the scaling of plot elements
pointplot | Show point estimates and errors with markers
python-literals | Python literal compatibility values

## -- R --

regplot | Plot data and a linear regression model fit
relplot | Figure-level interface for relational plots
reset_defaults | Restore matplotlib/ggplot2 defaults
reset_orig | Restore matplotlib/ggplot2 defaults
residplot | Plot the residuals of a linear regression
rugplot | Plot marginal rug ticks

## -- S --

saturate | Increase the saturation of a color to its maximum
scatterplot | Draw a scatter plot with semantic mappings
set | Set multiple theme parameters in one step
set_color_codes | Change how single-letter color codes are interpreted
set_context | Get the parameters that control the scaling of plot elements
set_hls_values | Independently set the hue, lightness, and/or saturation of a color
set_palette | Set the matplotlib color cycle / ggplot default discrete palette
set_style | Get the parameters that control the general style of the plots
set_theme | Set multiple theme parameters in one step
sns-aliases | seaborn-style 'sns.' function aliases
sns.axes_style | seaborn-style 'sns.' function aliases
sns.barplot | seaborn-style 'sns.' function aliases
sns.blend_palette | seaborn-style 'sns.' function aliases
sns.boxenplot | seaborn-style 'sns.' function aliases
sns.boxplot | seaborn-style 'sns.' function aliases
sns.catplot | seaborn-style 'sns.' function aliases
sns.clustermap | seaborn-style 'sns.' function aliases
sns.color_palette | seaborn-style 'sns.' function aliases
sns.countplot | seaborn-style 'sns.' function aliases
sns.cubehelix_palette | seaborn-style 'sns.' function aliases
sns.dark_palette | seaborn-style 'sns.' function aliases
sns.desaturate | seaborn-style 'sns.' function aliases
sns.despine | seaborn-style 'sns.' function aliases
sns.displot | seaborn-style 'sns.' function aliases
sns.diverging_palette | seaborn-style 'sns.' function aliases
sns.dogplot | seaborn-style 'sns.' function aliases
sns.ecdfplot | seaborn-style 'sns.' function aliases
sns.FacetGrid | seaborn-style 'sns.' function aliases
sns.get_dataset_names | seaborn-style 'sns.' function aliases
sns.heatmap | seaborn-style 'sns.' function aliases
sns.histplot | seaborn-style 'sns.' function aliases
sns.hls_palette | seaborn-style 'sns.' function aliases
sns.husl_palette | seaborn-style 'sns.' function aliases
sns.jointplot | seaborn-style 'sns.' function aliases
sns.kdeplot | seaborn-style 'sns.' function aliases
sns.light_palette | seaborn-style 'sns.' function aliases
sns.lineplot | seaborn-style 'sns.' function aliases
sns.lmplot | seaborn-style 'sns.' function aliases
sns.load_dataset | seaborn-style 'sns.' function aliases
sns.move_legend | seaborn-style 'sns.' function aliases
sns.mpl_palette | seaborn-style 'sns.' function aliases
sns.pairplot | seaborn-style 'sns.' function aliases
sns.palplot | seaborn-style 'sns.' function aliases
sns.plotting_context | seaborn-style 'sns.' function aliases
sns.pointplot | seaborn-style 'sns.' function aliases
sns.regplot | seaborn-style 'sns.' function aliases
sns.relplot | seaborn-style 'sns.' function aliases
sns.reset_defaults | seaborn-style 'sns.' function aliases
sns.reset_orig | seaborn-style 'sns.' function aliases
sns.residplot | seaborn-style 'sns.' function aliases
sns.rugplot | seaborn-style 'sns.' function aliases
sns.saturate | seaborn-style 'sns.' function aliases
sns.scatterplot | seaborn-style 'sns.' function aliases
sns.set | seaborn-style 'sns.' function aliases
sns.set_color_codes | seaborn-style 'sns.' function aliases
sns.set_context | seaborn-style 'sns.' function aliases
sns.set_hls_values | seaborn-style 'sns.' function aliases
sns.set_palette | seaborn-style 'sns.' function aliases
sns.set_style | seaborn-style 'sns.' function aliases
sns.set_theme | seaborn-style 'sns.' function aliases
sns.stripplot | seaborn-style 'sns.' function aliases
sns.swarmplot | seaborn-style 'sns.' function aliases
sns.violinplot | seaborn-style 'sns.' function aliases
stripplot | Draw a categorical scatter with jitter
swarmplot | Draw a categorical scatter with non-overlapping points

## -- T --

theme_seaborn | Build a ggplot2 theme replicating a seaborn style + context
True | Python literal compatibility values

## -- V --

violinplot | Draw a violin plot