Port of seaborn.kdeplot. The KDE matches scipy.stats.gaussian_kde exactly.
Returns a reaborn_plot.
Usage
kdeplot(
data = NULL,
x = NULL,
y = NULL,
hue = NULL,
weights = NULL,
palette = NULL,
hue_order = NULL,
hue_norm = NULL,
color = NULL,
fill = NULL,
multiple = "layer",
common_norm = TRUE,
common_grid = FALSE,
cumulative = FALSE,
bw_method = "scott",
bw_adjust = 1,
log_scale = NULL,
levels = 10,
thresh = 0.05,
gridsize = 200,
cut = 3,
clip = NULL,
legend = TRUE,
.facet_vars = NULL,
...
)Arguments
- data
A data frame.
- x, y
Column name/vector for the histogram variable (use
yfor a horizontal histogram).- hue
Grouping variable for color.
- weights
Optional observation weights.
- palette, hue_order, hue_norm, color
Color controls.
- fill
Fill under the density curve (default
FALSE).- multiple
"layer","stack", or"fill".- common_norm, common_grid
Share normalization / evaluation grid across hue groups.
- cumulative
Plot the cumulative distribution.
- bw_method, bw_adjust
Bandwidth controls (scipy-compatible).
- log_scale
Reserved for compatibility.
- levels, thresh
Bivariate contour levels and density threshold.
- gridsize, cut, clip
KDE grid controls.
- legend
Show the legend.
- .facet_vars
Internal; facet columns forwarded by the figure-level dispatchers (catplot/displot/relplot). Not intended for direct use.
- ...
Passed to the bar geom.