lets_plot.geom_ribbon¶
- lets_plot.geom_ribbon(mapping=None, *, data=None, stat=None, position=None, show_legend=None, sampling=None, tooltips=None, **other_args)¶
Display a y interval defined by ymin and ymax.
- 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=’identity’
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.
- 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
geom_ribbon() draws a ribbon bounded by ymin and ymax.
geom_ribbon() understands the following aesthetics mappings:
x : x-axis coordinates.
ymin : y-axis coordinates of the lower bound.
ymax : y-axis coordinates of the upper bound.
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. Defines line 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’.
Examples
1import numpy as np 2from lets_plot import * 3LetsPlot.setup_html() 4n = 10 5np.random.seed(42) 6x = np.arange(n) 7ymin = np.random.randint(-5, 0, size=n) 8ymax = np.random.randint(1, 6, size=n) 9ggplot({'x': x, 'ymin': ymin, 'ymax': ymax}, aes(x='x')) + \ 10 geom_ribbon(aes(ymin='ymin', ymax='ymax'))