Gallery

Every plot below is rendered live by reaborn in R from the seaborn-style code shown above it. Where it helps, a side-by-side panel shows the same plot in reaborn and in Python seaborn — they are designed to be indistinguishable.

Reaborn vs. seaborn, at a glance

Relational

scatterplot

scatterplot(data = penguins, x = "bill_length_mm", y = "bill_depth_mm", hue = "species")

scatterplot(data = penguins, x = "bill_length_mm", y = "bill_depth_mm",
            hue = "species", size = "body_mass_g", style = "species")

lineplot

With per-group aggregation and a bootstrap confidence band — matching seaborn.

lineplot(data = fmri, x = "timepoint", y = "signal", hue = "event")

relplot

A figure-level wrapper that facets across col/row.

relplot(data = fmri, x = "timepoint", y = "signal", hue = "event",
        col = "region", kind = "line")

Distributions

histplot

histplot(data = penguins, x = "flipper_length_mm", hue = "species", multiple = "stack")

kdeplot

The KDE reproduces scipy.stats.gaussian_kde to machine precision.

kdeplot(data = penguins, x = "flipper_length_mm", hue = "species", fill = TRUE)

ecdfplot

ecdfplot(data = penguins, x = "bill_length_mm", hue = "species")

displot

displot(data = penguins, x = "flipper_length_mm", col = "species")

Categorical

boxplot & violinplot

boxplot(data = tips, x = "day", y = "total_bill", hue = "smoker")

violinplot(data = tips, x = "day", y = "total_bill")

boxenplot

A faithful letter-value plot for larger samples.

boxenplot(data = penguins, x = "species", y = "body_mass_g")

stripplot & swarmplot

stripplot(data = tips, x = "day", y = "total_bill", hue = "sex")

swarmplot(data = tips, x = "day", y = "total_bill")

barplot & pointplot

Error bars are seaborn’s bootstrap CI, not an analytic standard error.

barplot(data = tips, x = "day", y = "total_bill")

pointplot(data = tips, x = "day", y = "total_bill", hue = "sex")

Regression

regplot

The confidence band is a bootstrap interval, like seaborn.

regplot(data = tips, x = "total_bill", y = "tip")

lmplot

lmplot(data = tips, x = "total_bill", y = "tip", col = "time", hue = "smoker")

Matrix

heatmap

flights <- load_dataset("flights")
mat <- tapply(flights$passengers, list(flights$month, flights$year), function(x) x[1])
heatmap(mat, annot = TRUE, fmt = "d", linewidths = 0.5)

clustermap

clustermap(mat)

Multi-plot grids

jointplot

jointplot(data = penguins, x = "bill_length_mm", y = "bill_depth_mm", hue = "species")

pairplot

pairplot(penguins, vars = c("bill_length_mm", "bill_depth_mm", "flipper_length_mm"),
         hue = "species")

Palettes & themes

reaborn ships seaborn’s palettes, matched to the hex digit, and its five styles.

palplot(color_palette("deep"))

palplot(color_palette("husl", 8))

set_theme(style = "whitegrid")
scatterplot(data = penguins, x = "bill_length_mm", y = "bill_depth_mm", hue = "species")

set_theme()  # restore the default darkgrid