plotnine.layer.layer

layer(
    geom,
    stat,
    *,
    mapping,
    data,
    position,
    inherit_aes=True,
    show_legend=None,
    raster=False
)

Layer

When a geom or stat is added to a ggplot object, it creates a single layer. This class is a representation of that layer.

Parameters

geom : geom: geom to used to draw this layer.
stat : stat: stat used for the statistical transformation of data in this layer
mapping : aes: Aesthetic mappings.
data : Optional[LayerDataLike]: Data plotted in this layer. If None, the data from the ggplot object will be used.
position : position: Position object to adjust the geometries in this layer.
inherit_aes : bool = True: If True inherit from the aesthetic mappings of the ggplot object.
show_legend : bool | dict[str, bool] | None = None: Whether to make up and show a legend for the mappings of this layer. If None then an automatic/good choice is made
raster : bool = False: If True, draw onto this layer a raster (bitmap) object even if the final image format is vector.

There is no benefit to manually creating a layer. You should always use a geom or stat.

Name	Description
compute_aesthetics	Return a dataframe where the columns match the aesthetic mappings
compute_position	Compute the position of each geometric object
compute_statistic	Compute & return statistics for this layer
draw	Draw geom
finish_statistics	Prepare/modify data for plotting
from_geom	Create a layer given a `geom`
map_statistic	Mapping aesthetics to computed statistics
setup	Prepare layer for the plot building
setup_data	Prepare/modify data for plotting
use_defaults	Prepare/modify data for plotting

compute_aesthetics(plot)

Return a dataframe where the columns match the aesthetic mappings

Transformations like ‘factor(cyl)’ and other expression evaluation are made in here

compute_position(layout)

Compute the position of each geometric object

This is in concert with the other objects in the panel depending on the position class of the geom

compute_statistic(layout)

Compute & return statistics for this layer

draw(layout, coord)

Draw geom

finish_statistics()

Prepare/modify data for plotting

from_geom(geom)

Create a layer given a geom

map_statistic(plot)

Mapping aesthetics to computed statistics

setup(plot)

Prepare layer for the plot building

Give the layer access to the data, mapping and environment

setup_data()

Prepare/modify data for plotting

use_defaults(data, aes_modifiers, scales=None)

Prepare/modify data for plotting

data : pd.DataFrame: Data
aes_modifiers : dict[str, Any]: Expression to evaluate and replace aesthetics in the data.