geom_ribbon#
- geom_ribbon(mapping=None, *, data=None, stat=None, position=None, show_legend=None, inherit_aes=None, manual_key=None, sampling=None, tooltips=None, color_by=None, fill_by=None, **other_args)#
Display a y interval defined by
ymin
andymax
.- Parameters:
- mapping
FeatureSpec
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’, ‘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.
- inherit_aesbool, default=True
False - do not combine the layer aesthetic mappings with the plot shared mappings.
- manual_keystr or
layer_key
The key to show in the manual legend. Specify text for the legend label or advanced settings using the layer_key() function.
- sampling
FeatureSpec
Result of the call to the
sampling_xxx()
function. To prevent any sampling for this layer pass value “none” (string “none”).- tooltips
layer_tooltips
Result of the call to the layer_tooltips() function. Specify appearance, style and content. Set tooltips=’none’ to hide tooltips from the layer.
- 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.
- mapping
- Returns:
LayerSpec
Geom object specification.
Notes
geom_ribbon()
draws a ribbon bounded byymin
andymax
, or a vertical ribbon, bounded byxmin
,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. For more info see Color and Fill.
fill : fill color. For more info see Color and Fill.
size : lines width.
linetype : type of the line of border. Accept codes or names (0 = ‘blank’, 1 = ‘solid’, 2 = ‘dashed’, 3 = ‘dotted’, 4 = ‘dotdash’, 5 = ‘longdash’, 6 = ‘twodash’), a hex string (up to 8 digits for dash-gap lengths), or a list pattern [offset, [dash, gap, …]] / [dash, gap, …]. For more info see Line Types.
To hide axis tooltips, set ‘blank’ or the result of element_blank() to the
axis_tooltip
oraxis_tooltip_x
parameter of the theme().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'))