lets_plot.scale_shape#
- lets_plot.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 https://lets-plot.org/python/pages/formats.html.
- 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')