lets_plot.geom_ribbon(mapping=None, *, data=None, stat=None, position=None, show_legend=None, sampling=None, tooltips=None, color_by=None, fill_by=None, **other_args)

Display a y interval defined by ymin and ymax.


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 or polars.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, default=’identity’

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.


Result of the call to the sampling_xxx() function. To prevent any sampling for this layer pass value “none” (string “none”).


Result of the call to the layer_tooltips() function. Specify appearance, style and content.

color_by{‘fill’, ‘color’, ‘paint_a’, ‘paint_b’, ‘paint_c’}, default=’color’

Define the color aesthetic for the geometry.

fill_by{‘fill’, ‘color’, ‘paint_a’, ‘paint_b’, ‘paint_c’}, default=’fill’

Define the fill aesthetic for the geometry.


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.


Geom object specification.


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. Accept values between 0 and 1.

  • color (colour) : color of the geometry lines. String in the following formats: RGB/RGBA (e.g. “rgb(0, 0, 255)”); HEX (e.g. “#0000FF”); color name (e.g. “red”).

  • fill : fill color. String in the following formats: RGB/RGBA (e.g. “rgb(0, 0, 255)”); HEX (e.g. “#0000FF”); color name (e.g. “red”).

  • 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’.


 1import numpy as np
 2from lets_plot import *
 4n = 10
 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'))

 1import numpy as np
 2from lets_plot import *
 4n = 30
 5tmean = 20
 7day = np.arange(1, n + 1)
 8tmin = tmean - (1 + np.abs(np.random.normal(size=n)))
 9tmax = tmean + (1 + np.abs(np.random.normal(size=n)))
10ggplot({'day': day, 'tmin': tmin, 'tmax': tmax}) + \
11    geom_ribbon(aes(x='day', ymin='tmin', ymax='tmax'), \
12                color='#bd0026', fill='#fd8d3c', size=2, \
13                tooltips=layer_tooltips()\
14                    .format('^ymin', '.1f').line('min temp|^ymin')\
15                    .format('^ymax', '.1f').line('max temp|^ymax'))