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stat_sum 

stat_sum(
    mapping: FeatureSpec | None = None,
    *,
    data: PlotData | None = None,
    geom: str | None = None,
    position: Position | None = None,
    show_legend: bool | None = None,
    inherit_aes: bool | None = None,
    sampling: Sampling | None = None,
    tooltips: Tooltips | None = None,
    color_by: str | None = None,
    fill_by: str | None = None,
    na_rm: bool | None = None,
    **other_args: Any,
) -> LayerSpec

Rows at each distinct (x, y) (stat="sum"), drawn as points sized by the count.

Computes ..n.. (rows, or summed weight, at the location), ..prop.. (n over the group's total) and ..proppct.. (the same in percent); size is mapped to ..n.. by default.

Parameters:

  • mapping (FeatureSpec, default: None ) –

    Aesthetic mapping from aes().

  • data (DataFrame or dict, default: None ) –

    Layer data; inherits the plot data when None.

  • geom (str, default: "point" ) –

    Geom that draws the counts, e.g. "text" with aes(label="..n..").

  • position (str or FeatureSpec, default: None ) –

    Position adjustment: a name such as "jitter" or a position_*() spec.

  • show_legend (bool, default: None ) –

    False hides this layer from the legend.

  • inherit_aes (bool, default: None ) –

    False ignores the plot's default mapping for this layer.

  • sampling (str or FeatureSpec, default: None ) –

    lets_plot sampling; accepted and ignored, as ggrust draws every row.

  • tooltips (FeatureSpec or list of str, default: None ) –

    Tooltip content: layer_tooltips(), a list of column names, or "none" to disable tooltips (HTML output).

  • color_by (str, default: None ) –

    Aesthetic the color scale applies to ("color" or "fill").

  • fill_by (str, default: None ) –

    Aesthetic the fill scale applies to ("color" or "fill").

  • na_rm (bool, default: None ) –

    True removes rows with missing values silently; otherwise they are removed with a warning.

  • **other_args (Any) –

    Constant aesthetics such as color="red", and the geom's options.

Returns:

  • LayerSpec –

    The layer.

Examples:

>>> from ggrust import *
>>> data = {"cylinders": [4, 4, 6, 8, 4, 6, 8, 8], "gears": [4, 4, 4, 3, 5, 4, 3, 3]}
>>> plot = ggplot(data, aes("cylinders", "gears")) + stat_sum(aes(color="..prop.."))