API reference#

Objects interface#

Plot object#

An interface for declaratively specifying statistical graphics.

Mark objects#

Dot marks

`Dot`	A mark suitable for dot plots or less-dense scatterplots.
`Dots`	A dot mark defined by strokes to better handle overplotting.

Line marks

`Line`	A mark connecting data points with sorting along the orientation axis.
`Lines`	A faster but less-flexible mark for drawing many lines.
`Path`	A mark connecting data points in the order they appear.
`Paths`	A faster but less-flexible mark for drawing many paths.
`Dash`	A line mark drawn as an oriented segment for each datapoint.
`Range`	An oriented line mark drawn between min/max values.

Bar marks

`Bar`	A bar mark drawn between baseline and data values.
`Bars`	A faster bar mark with defaults more suitable histograms.

Fill marks

`Area`	A fill mark drawn from a baseline to data values.
`Band`	A fill mark representing an interval between values.

Text marks

A textual mark to annotate or represent data values.

Stat objects#

`Agg`	Aggregate data along the value axis using given method.
`Est`	Calculate a point estimate and error bar interval.
`Count`	Count distinct observations within groups.
`Hist`	Bin observations, count them, and optionally normalize or cumulate.
`KDE`	Compute a univariate kernel density estimate.
`Perc`	Replace observations with percentile values.
`PolyFit`	Fit a polynomial of the given order and resample data onto predicted curve.

Move objects#

`Dodge`	Displacement and narrowing of overlapping marks along orientation axis.
`Jitter`	Random displacement along one or both axes to reduce overplotting.
`Norm`	Divisive scaling on the value axis after aggregating within groups.
`Stack`	Displacement of overlapping bar or area marks along the value axis.
`Shift`	Displacement of all marks with the same magnitude / direction.

Scale objects#

`Boolean`	A scale with a discrete domain of True and False values.
`Continuous`	A numeric scale supporting norms and functional transforms.
`Nominal`	A categorical scale without relative importance / magnitude.
`Temporal`	A scale for date/time data.

Base classes#

`Mark`	Base class for objects that visually represent data.
`Stat`	Base class for objects that apply statistical transformations.
`Move`	Base class for objects that apply simple positional transforms.
`Scale`	Base class for objects that map data values to visual properties.

Function interface#

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

Categorical plots#

`catplot`	Figure-level interface for drawing categorical plots onto a FacetGrid.
`stripplot`	Draw a categorical scatterplot using jitter to reduce overplotting.
`swarmplot`	Draw a categorical scatterplot with points adjusted to be non-overlapping.
`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 errors using dot marks.
`barplot`	Show point estimates and errors 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#

Pair grids#

`pairplot`	Plot pairwise relationships in a dataset.
`PairGrid`	Subplot grid for plotting pairwise relationships in a dataset.

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.

Themeing#

`set_theme`	Set aspects of the visual theme for all matplotlib and seaborn plots.
`axes_style`	Get the parameters that control the general style of the plots.
`set_style`	Set the parameters that control the general style of the plots.
`plotting_context`	Get the parameters that control the scaling of plot elements.
`set_context`	Set the parameters that control the scaling of plot elements.
`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`	Return hues with constant lightness and saturation in the HUSL system.
`hls_palette`	Return hues with constant lightness and saturation in the HLS system.
`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 a palette or colormap from the matplotlib registry.

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#

`despine`	Remove the top and right spines from plot(s).
`move_legend`	Recreate a plot's legend at a new location.
`saturate`	Return a fully saturated color with the same hue.
`desaturate`	Decrease the saturation channel of a color by some percent.
`set_hls_values`	Independently manipulate the h, l, or s channels of a color.
`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.