lets_plot.geom_pointrange¶
- lets_plot.geom_pointrange(mapping=None, *, data=None, stat=None, position=None, show_legend=None, sampling=None, tooltips=None, fatten=None, **other_args)¶
Add a vertical line defined by upper and lower value with midpoint at y location.
- 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”.
data (dict 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.
stat (str, default=’identity’) – The statistical transformation to use on the data for this layer, as a string. Supported transformations: ‘identity’ (leaves the data unchanged), ‘count’ (counts number of points with same x-axis coordinate), ‘bin’ (counts number of points with x-axis coordinate in the same bin), ‘smooth’ (performs smoothing - linear default), ‘density’ (computes and draws kernel density estimate).
position (str or FeatureSpec) – Position adjustment, either as a string (‘identity’, ‘stack’, ‘dodge’, …), or the result of a call to a position adjustment function.
show_legend (bool, default=True) – False - do not show legend for this layer.
sampling (FeatureSpec) – Result of the call to the sampling_xxx() function. Value None (or ‘none’) will disable sampling for this layer.
tooltips (layer_tooltips) – Result of the call to the layer_tooltips() function. Specifies appearance, style and content.
fatten (float, default=5.0) – A multiplicative factor applied to size of the middle bar.
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
Geom object specification.
- Return type
LayerSpec
Note
geom_pointrange() represents a vertical interval, defined by x, ymin, ymax. The mid-point is defined by y.
geom_pointrange() understands the following aesthetics mappings:
x : x-axis coordinates.
y : position of mid-point.
ymin : lower bound for error bar.
ymax : upper bound for error bar.
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, size of mid-point.
linetype : type of the line. Codes and names: 0 = ‘blank’, 1 = ‘solid’, 2 = ‘dashed’, 3 = ‘dotted’, 4 = ‘dotdash’, 5 = ‘longdash’, 6 = ‘twodash’.
shape : shape of the mid-point.
Examples
1from lets_plot import * 2LetsPlot.setup_html() 3data = { 4 'x': ['a', 'b', 'c', 'd'], 5 'ymin': [5, 7, 3, 5], 6 'y': [6.5, 9, 4.5, 7], 7 'ymax': [8, 11, 6, 9], 8} 9ggplot(data, aes(x='x', y='y')) + \ 10 geom_pointrange(aes(ymin='ymin', ymax='ymax'))