geom_col ¶

Bars with heights taken from the data (ggplot2 geom_col), stacked.

The same as geom_bar(stat="identity"): one bar per row, from 0 to y. lets-plot has no geom_col; this is ggplot2's.

Parameters:

• mapping (FeatureSpec, default: None ) –

  Aesthetic mapping from aes(); needs x and y.

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

  Layer data; inherits the plot data when None.

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

  Position adjustment, default "stack": 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.

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

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

• 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).

• labels (list or dict, default: None ) –

  Texts at the breaks: a list, or a dict of break values to texts.

• just (float, default: 0.5 ) –

  Where the bar sits on x: 0.5 centers it, 0 puts its left edge on x, 1 its right edge.

• width (float, default: 0.9 ) –

  Bar width, as a share of the x resolution.

• orientation ((x, y), default: "x" ) –

  "y" draws horizontal bars; a discrete y with a continuous x picks it by default.

• 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 ("fill" or "color").

• na_rm (bool, default: None ) –

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

• **other_args (Any) –

  Constant aesthetics, as in lets_plot.

Returns:

• LayerSpec –

  The layer.

Examples:

>>> from ggrust import *
>>> data = {"fruit": ["apple", "banana", "cherry"], "sold": [12, 7, 9]}
>>> plot = ggplot(data, aes("fruit", "sold")) + geom_col(fill="seagreen")