lets_plot.scale_shape_identity(name=None, breaks=None, labels=None, lablim=None, limits=None, na_value=None, guide='none', format=None)#

Use this scale when your data has already been scaled. I.e. it already represents aesthetic values that the library can handle directly. This will not produce a legend unless you also supply the breaks and labels.


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.


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.

guide, default=’none’

Guide to use for this scale.


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 https://lets-plot.org/python/pages/formats.html.


Scale specification.


Input data expected: numeric codes of shapes.


 1from lets_plot import *
 3n, m = 26, 6
 4x = [i % m for i in range(n)]
 5y = [int(i / m) for i in range(n)]
 6s = list(range(n))
 7ggplot({'x': x, 'y': y, 's': s}, aes('x', 'y')) + \
 8    geom_point(aes(shape='s'), size=10, show_legend=False, \
 9               color='#2166ac', fill='#fddbc7', \
10               tooltips=layer_tooltips().line('shape #@s')) + \
11    scale_shape_identity()