lets_plot.geom_violin¶
- lets_plot.geom_violin(mapping=None, *, data=None, stat=None, position=None, show_legend=None, sampling=None, tooltips=None, draw_quantiles=None, scale=None, **other_args)¶
A violin plot is a mirrored density plot with an additional grouping as for a boxplot.
- Parameters
- mappingFeatureSpec
Set of aesthetic mappings created by aes() function. Aesthetic mappings describe the way that variables in the data are mapped to plot “aesthetics”.
- datadict or DataFrame
The data to be displayed in this layer. If None, the default, the data is inherited from the plot data as specified in the call to ggplot.
- statstr, default=’ydensity’
The statistical transformation to use on the data for this layer, as a string.
- positionstr or FeatureSpec
Position adjustment, either as a string (‘identity’, ‘stack’, ‘dodge’, …), or the result of a call to a position adjustment function.
- show_legendbool, default=True
False - do not show legend for this layer.
- samplingFeatureSpec
Result of the call to the sampling_xxx() function. Value None (or ‘none’) will disable sampling for this layer.
- tooltipslayer_tooltips
Result of the call to the layer_tooltips() function. Specifies appearance, style and content.
- draw_quantileslist of float
Draw horizontal lines at the given quantiles of the density estimate.
- scale{‘area’, ‘count’, ‘width’}, default=’area’
If ‘area’, all violins have the same area. If ‘count’, areas are scaled proportionally to the number of observations. If ‘width’, all violins have the same maximum width.
- other_args
Other arguments passed on to the layer. These are often aesthetics settings used to set an aesthetic to a fixed value, like color=’red’, fill=’blue’, size=3 or shape=21. They may also be parameters to the paired geom/stat.
- Returns
- LayerSpec
Geom object specification.
Notes
Computed variables:
..violinwidth.. : density scaled for the violin plot, according to area, counts or to a constant maximum width (mapped by default).
..density.. : density estimate.
..count.. : density * number of points.
..scaled.. : density estimate, scaled to maximum of 1.
geom_violin() understands the following aesthetics mappings:
x : x-axis coordinates.
y : y-axis coordinates.
alpha : transparency level of a layer. Understands numbers between 0 and 1.
color (colour) : color of a geometry lines. Can be continuous or discrete. For continuous value this will be a color gradient between two colors.
fill : color of geometry filling.
size : lines width.
linetype : type of the line of border. Codes and names: 0 = ‘blank’, 1 = ‘solid’, 2 = ‘dashed’, 3 = ‘dotted’, 4 = ‘dotdash’, 5 = ‘longdash’, 6 = ‘twodash’.
weight : used by ‘ydensity’ stat to compute weighted density.
Examples
1import numpy as np 2from lets_plot import * 3LetsPlot.setup_html() 4n = 100 5np.random.seed(42) 6x = np.random.choice(['a', 'b', 'c'], size=n) 7y = np.random.normal(size=n) 8ggplot({'x': x, 'y': y}, aes(x='x', y='y')) + \ 9 geom_violin()