stat_summary_xy ¶

One row per group at a summary of x and of y (stat="summary_xy"), as ggpp.

As stat_centroid(), with a summary per axis: fun_x of x and fun_y of y, over the rows where both are finite.

Parameters:

• mapping (FeatureSpec, default: None ) –

  Aesthetic mapping from aes(): x, y (required), and the geom's own, such as label or color.

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

  Layer data; inherits the plot data when None.

• geom (str, default: "point" ) –

  Geom that draws the summaries, e.g. "text" or "label".

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

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

• show_legend (bool, default: False ) –

  True adds this layer to the legend (ggpp leaves it out).

• inherit_aes (bool, default: None ) –

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

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

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

• fun_x ((mean, median), default: "mean" ) –

  Summary of x.

• fun_y ((mean, median), default: "mean" ) –

  Summary of y.

• 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 size=6, and the geom's options.

Returns:

• LayerSpec –

  The layer.

Examples:

>>> from ggrust import *
>>> data = {"day": [1, 2, 3, 1, 2, 3], "visits": [5, 9, 40, 2, 3, 4], "shop": list("aaabbb")}
>>> plot = (
...     ggplot(data, aes("day", "visits", color="shop"))
...     + geom_point()
...     + stat_summary_xy(fun_x="mean", fun_y="median", shape=4, size=6)
... )