plotnine.stat_ecdf

stat_ecdf(
    mapping=None,
    data=None,
    *,
    geom="step",
    position="identity",
    na_rm=False,
    n=None,
    pad=True,
    **kwargs
)

Empirical Cumulative Density Function

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	`after_stat('ecdf')`

The bold aesthetics are required.

Options for computed aesthetics

"x"     # x in the data
"ecdf"  # cumulative density corresponding to 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 = "step"

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.

n

This is the number of points to interpolate with. If None, do not interpolate.

pad : bool = True

If True, pad the domain with -inf and +inf so that ECDF does not have discontinuities at the extremes.

**kwargs : Any = {}

Aesthetics or parameters used by the geom.

Parameters

See Also