scale_shape#

scale_shape(solid=True, name=None, breaks=None, labels=None, lablim=None, limits=None, na_value=None, guide=None, format=None)#

Scale for shapes.

Parameters:
solidbool, default=True

Are the shapes solid (default) True, or hollow (False).

namestr

The name of the scale - used as the axis label or the legend title.

breakslist or dict

A list of data values specifying the positions of ticks, or a dictionary which maps the tick labels to the breaks values.

labelslist of str or dict

A list of labels on ticks, or a dictionary which maps the breaks values to the tick labels.

lablimint, default=None

The maximum label length (in characters) before trimming is applied.

limitslist

Continuous scale: a numeric vector of length two providing limits of the scale. Discrete scale: a vector specifying the data range for the scale and the default order of their display in guides.

na_value

Missing values will be replaced with this value.

guide

A result returned by guide_legend() function or ‘none’ to hide the guide.

formatstr

Define the format for labels on the scale. The syntax resembles Python’s:

  • ‘.2f’ -> ‘12.45’

  • ‘Num {}’ -> ‘Num 12.456789’

  • ‘TTL: {.2f}$’ -> ‘TTL: 12.45$’

For more info see Formatting.

Returns:
FeatureSpec

Scale specification.

Notes

Scale for shapes. A continuous variable cannot be mapped to shape.

Examples

1import numpy as np
2from lets_plot import *
3LetsPlot.setup_html()
4x = np.arange(10)
5c = np.where(x < 5, 'a', 'b')
6ggplot({'x': x, 'y': x, 'c': c}, aes('x', 'y')) + \
7    geom_point(aes(shape='c'), size=5) + \
8    scale_shape(solid=False, name='shapes')
On this page