plotnine.stat_density_2d
stat_density_2d(mapping=None, data=None, **kwargs)Compute 2D kernel density estimation
{usage}
Parameters
contour : bool = True-
Whether to create contours of the 2d density estimate.
n : int = 64-
Number of equally spaced points at which the density is to be estimated. For efficient computation, it should be a power of two.
levels : int | array_like = 5-
Contour levels. If an integer, it specifies the maximum number of levels, if array_like it is the levels themselves.
package : Literal["statsmodels", "scipy", "sklearn"] = "statsmodels"-
Package whose kernel density estimation to use.
kde_params : dict-
Keyword arguments to pass on to the kde class.
See Also
geom_density_2d-
The default
geomfor thisstat. KDEMultivariategaussian_kdeKernelDensity