stat_ecdf ¶

Empirical cumulative distribution of x (stat="ecdf"), drawn as steps.

Per group, y is the share of x values at or below each x.

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: "step" ) –

  Geom that draws the distribution, e.g. "point" or "line".

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

  Position adjustment: a name such as "dodge" 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).

• orientation (str, default: None ) –

  "y" uses y instead of x.

• n (int, default: None ) –

  Number of evenly spaced points from the smallest to the largest x; None uses every distinct x.

• pad (bool, default: True ) –

  Add (-inf, 0) and (inf, 1), so steps run to the panel edges.

• color_by (str, default: None ) –

  Aesthetic the color 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 = {"minutes": [12, 15, 15, 21, 30, 34, 41], "team": list("aabbaba")}
>>> plot = ggplot(data, aes("minutes", color="team")) + stat_ecdf()