plotnine.stat_function

stat_function(
    mapping=None,
    data=None,
    *,
    geom="path",
    position="identity",
    na_rm=False,
    fun=None,
    n=101,
    args=None,
    xlim=None,
    **kwargs
)

Superimpose a function onto a plot

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
y	`after_stat('fx')`

The bold aesthetics are required.

Options for computed aesthetics

"x"   # x points at which the function is evaluated
"fx"  # points evaluated at each x

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 = "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. If True silently removes missing values.

fun : callable

Function to evaluate.

n : int = 101

Number of points at which to evaluate the function.

xlim : tuple = None

x limits for the range. The default depends on the x aesthetic. There is not an x aesthetic then the xlim must be provided.

args : Optional[tuple[Any] | dict[str, Any]] = None

Arguments to pass to fun.

**kwargs = {}

Aesthetics or parameters used by the geom.