stat_interval ¶

Stacked quantile intervals of y per x, colored by level.

As stat_interval in the R package ggdist, for sample data: thick geom_linerange lines (size 5.2, ggdist's 4 in ggrust's units), the widest drawn first, with color mapped to "..level.." (discrete, widest first). Add a color scale (scale_color_brewer, scale_color_viridis) for ggdist's sequential look.

Parameters:

• mapping (FeatureSpec, default: None ) –

  Aesthetic mapping from aes(). Needs y (and usually x).

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

  Layer data; inherits the plot data when None.

• geom (str, default: "linerange" ) –

  Geom that draws the intervals.

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

  Position adjustment; none by default.

• 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.

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

  This layer's key in a manual legend: a label, or layer_key().

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

  Tooltip content: layer_tooltips(), a list of column names, or "none".

• orientation (str, default: None ) –

  "y" draws along the y axis; a discrete y with a continuous x picks it.

• point_interval ((median_qi, mean_qi, mode_qi), default: "median_qi" ) –

  The point summary the intervals belong to.

• widths (list of float, default: [0.5, 0.8, 0.95] ) –

  Interval levels (ggdist's .width), each in (0, 1].

• na_rm (bool, default: None ) –

  True removes rows with missing values silently.

• **other_args (Any) –

  Constant aesthetics (size, alpha; a constant color replaces the level coloring).

Returns:

• LayerSpec –

  The layer.

Raises:

• SpecError –

  If point_interval is not an accepted name or a width is outside (0, 1].

• UnsupportedValueError –

  If widths is not a list of numbers.

Examples:

>>> from ggrust import *
>>> data = {"diet": ["veg"] * 6 + ["meat"] * 6,
...         "weight": [61, 58, 66, 70, 63, 59, 72, 80, 77, 69, 85, 74]}
>>> plot = (ggplot(data, aes("diet", "weight")) + stat_interval()
...         + scale_color_brewer(palette="Blues"))