plotnine.stat_quantile

Compute quantile regression lines

stat_quantile(
    mapping=None,
    data=None,
    *,
    geom="quantile",
    position="identity",
    na_rm=False,
    quantiles=(0.25, 0.5, 0.75),
    formula="y ~ x",
    method_args={},
    **kwargs
)

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.

Options for computed aesthetics

"quantile"  # quantile
"group"     # group identifier

Calculated aesthetics are accessed using the after_stat function. e.g. after_stat('quantile').

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 = "quantile"

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.

quantiles : tuple = (0.25, 0.5, 0.75)

Quantiles of y to compute

formula : str = "y ~ x"

Formula relating y variables to x variables

method_args : dict = None

Extra arguments passed on to the model fitting method, fit.

**kwargs : Any

Aesthetics or parameters used by the geom.

Parameters

See Also