Ctrl+K

Lets-Plot for Python

v4.3.2

lets_plot.geom_ribbon#

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.

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 Pandas 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 a position adjustment name: ‘dodge’, ‘dodgev’, ‘jitter’, ‘nudge’, ‘jitterdodge’, ‘fill’, ‘stack’ or ‘identity’, or the result of calling a position adjustment function (e.g., position_dodge() etc.).

show_legendbool, default=True

False - do not show legend for this layer.

samplingFeatureSpec

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

tooltipslayer_tooltips

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_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, or a vertical ribbon, bounded by xmin, xmax.

geom_ribbon() understands the following aesthetics mappings:

  • x or y: x-axis or y-axis coordinates for horizontal or vertical ribbon, respectively.

  • ymin or xmin: y-axis or x-axis coordinates of the lower bound for horizontal or vertical ribbon, respectively.

  • ymax or xmax: y-axis or x-axis coordinates of the upper bound for horizontal or vertical ribbon, respectively.

  • 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”); role name (“pen”, “paper” or “brush”).

  • 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”); role name (“pen”, “paper” or “brush”).

  • 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’.

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'))


 1import numpy as np
 2from lets_plot import *
 3LetsPlot.setup_html()
 4n = 30
 5tmean = 20
 6np.random.seed(42)
 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'))
On this page