plotnine.stat_ellipse
stat_ellipse(=None,
mapping=None,
data*,
="path",
geom="identity",
position=False,
na_rmtype="t",
=0.95,
level=51,
segments**kwargs
)
Calculate normal confidence interval ellipse
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 y The bold aesthetics are required.
data : DataFrame = None
-
The data to be displayed in this layer. If
None
, the data from from theggplot()
call is used. If specified, it overrides the data from theggplot()
call. geom : str | geom = "path"
-
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. IfTrue
silently removes missing values. type : Literal["t", "norm", "euclid"] = "t"
-
The type of ellipse.
t
assumes a multivariate t-distribution.norm
assumes a multivariate normal distribution.euclid
draws a circle with the radius equal tolevel
, representing the euclidean distance from the center. level : float = 0.95
-
The confidence level at which to draw the ellipse.
segments : int = 51
-
Number of segments to be used in drawing the ellipse.
**kwargs : Any = {}
-
Aesthetics or parameters used by the
geom
.