Seaborn - (all functions)

 

seaborn: statistical data visualization

#pip install seaborn #conda install seaborn

import seaborn as sns

Functions:

Relational plots

relplot	Figure-level interface for drawing relational plots onto a FacetGrid.
scatterplot	Draw a scatter plot with possibility of several semantic groupings.
lineplot	Draw a line plot with possibility of several semantic groupings.

Distribution plots

displot	Figure-level interface for drawing distribution plots onto a FacetGrid.
histplot	Plot univariate or bivariate histograms to show distributions of datasets.
kdeplot	Plot univariate or bivariate distributions using kernel density estimation.
ecdfplot	Plot empirical cumulative distribution functions.
rugplot	Plot marginal distributions by drawing ticks along the x and y axes.
distplot	DEPRECATED: Flexibly plot a univariate distribution of observations.

Categorical plots

catplot	Figure-level interface for drawing categorical plots onto a FacetGrid.
stripplot	Draw a scatterplot where one variable is categorical.
swarmplot	Draw a categorical scatterplot with non-overlapping points.
boxplot	Draw a box plot to show distributions with respect to categories.
violinplot	Draw a combination of boxplot and kernel density estimate.
boxenplot	Draw an enhanced box plot for larger datasets.
pointplot	Show point estimates and confidence intervals using scatter plot glyphs.
barplot	Show point estimates and confidence intervals as rectangular bars.
countplot	Show the counts of observations in each categorical bin using bars.

Regression plots

lmplot	Plot data and regression model fits across a FacetGrid.
regplot	Plot data and a linear regression model fit.
residplot	Plot the residuals of a linear regression.

Matrix plots

heatmap	Plot rectangular data as a color-encoded matrix.
clustermap	Plot a matrix dataset as a hierarchically-clustered heatmap.

Multi-plot grids

Facet grids

FacetGrid	Multi-plot grid for plotting conditional relationships.
FacetGrid.map	Apply a plotting function to each facet’s subset of the data.
FacetGrid.map_dataframe	Like .map but passes args as strings and inserts data in kwargs.

Pair grids

pairplot	Plot pairwise relationships in a dataset.
PairGrid	Subplot grid for plotting pairwise relationships in a dataset.
PairGrid.map	Plot with the same function in every subplot.
PairGrid.map_diag	Plot with a univariate function on each diagonal subplot.
PairGrid.map_offdiag	Plot with a bivariate function on the off-diagonal subplots.
PairGrid.map_lower	Plot with a bivariate function on the lower diagonal subplots.
PairGrid.map_upper	Plot with a bivariate function on the upper diagonal subplots.

Joint grids

jointplot	Draw a plot of two variables with bivariate and univariate graphs.
JointGrid	Grid for drawing a bivariate plot with marginal univariate plots.
JointGrid.plot	Draw the plot by passing functions for joint and marginal axes.
JointGrid.plot_joint	Draw a bivariate plot on the joint axes of the grid.
JointGrid.plot_marginals	Draw univariate plots on each marginal axes.

Themeing

set_theme	Set multiple theme parameters in one step.
axes_style	Return a parameter dict for the aesthetic style of the plots.
set_style	Set the aesthetic style of the plots.
plotting_context	Return a parameter dict to scale elements of the figure.
set_context	Set the plotting context parameters.
set_color_codes	Change how matplotlib color shorthands are interpreted.
reset_defaults	Restore all RC params to default settings.
reset_orig	Restore all RC params to original settings (respects custom rc).
set	Alias for set_theme(), which is the preferred interface.

Color palettes

set_palette	Set the matplotlib color cycle using a seaborn palette.
color_palette	Return a list of colors or continuous colormap defining a palette.
husl_palette	Get a set of evenly spaced colors in HUSL hue space.
hls_palette	Get a set of evenly spaced colors in HLS hue space.
cubehelix_palette	Make a sequential palette from the cubehelix system.
dark_palette	Make a sequential palette that blends from dark to color.
light_palette	Make a sequential palette that blends from light to color.
diverging_palette	Make a diverging palette between two HUSL colors.
blend_palette	Make a palette that blends between a list of colors.
xkcd_palette	Make a palette with color names from the xkcd color survey.
crayon_palette	Make a palette with color names from Crayola crayons.
mpl_palette	Return discrete colors from a matplotlib palette.

Palette widgets

choose_colorbrewer_palette	Select a palette from the ColorBrewer set.
choose_cubehelix_palette	Launch an interactive widget to create a sequential cubehelix palette.
choose_light_palette	Launch an interactive widget to create a light sequential palette.
choose_dark_palette	Launch an interactive widget to create a dark sequential palette.
choose_diverging_palette	Launch an interactive widget to choose a diverging color palette.

Utility functions

load_dataset	Load an example dataset from the online repository (requires internet).
get_dataset_names	Report available example datasets, useful for reporting issues.
get_data_home	Return a path to the cache directory for example datasets.
despine	Remove the top and right spines from plot(s).
desaturate	Decrease the saturation channel of a color by some percent.
saturate	Return a fully saturated color with the same hue.
set_hls_values	Independently manipulate the h, l, or s channels of a color.