plotnine.stat_density_2d

stat_density_2d(
    mapping=None,
    data=None,
    *,
    geom="density_2d",
    position="identity",
    na_rm=False,
    contour=True,
    package="statsmodels",
    kde_params=None,
    n=64,
    levels=5,
    **kwargs
)

Compute 2D kernel density estimation

Parameters

mapping : aes = None

Aesthetic mappings created with aes. If specified and inherit_aes=True, it is combined with the default mapping for the plot. You must supply mapping if there is no plot mapping.

Aesthetic	Default value
x

The bold aesthetics are required.

Options for computed aesthetics

"level"     # density level of a contour
"density"   # Computed density at a point
"piece"     # Numeric id of a contour in a given group

level is only relevant when contours are computed. density is available only when no contours are computed. piece is largely irrelevant.

data : DataFrame = None

The data to be displayed in this layer. If None, the data from from the ggplot() call is used. If specified, it overrides the data from the ggplot() call.

geom : str | geom = "density_2d"

The statistical transformation to use on the data for this layer. If it is a string, it must be the registered and known to Plotnine.

position : str | position = "identity"

Position adjustment. If it is a string, it must be registered and known to Plotnine.

na_rm : bool = False

If False, removes missing values with a warning. If True silently removes missing values.

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.

**kwargs : Any = {}

Aesthetics or parameters used by the geom.

Parameters

See Also