Statistical Data Visualization, the 'seaborn' Way

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Documentation for package ‘reaborn’ version 1.0.0

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS
• Package README

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