lets_plot.scale_size_area¶
- lets_plot.scale_size_area(max_size=None, name=None, breaks=None, labels=None, limits=None, na_value=None, guide=None, trans=None, format=None)¶
Continuous scale for size that maps 0 to 0.
- Parameters
- max_sizefloat
The max size that is mapped to.
- namestr
The name of the scale - used as the axis label or the legend title. If None, the default, the name of the scale is taken from the first mapping used for that aesthetic.
- breakslist
A numeric vector of positions (of ticks).
- labelslist
A vector of labels (on ticks).
- limitslist
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.
- trans{‘identity’, ‘log10’, ‘sqrt’, ‘reverse’}
Name of built-in transformation.
- 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/pages/formats.html.
- Returns
- FeatureSpec
Scale specification.
Notes
This method maps 0 data to 0 size. Useful in some stats such as count.
Examples
1import numpy as np 2from lets_plot import * 3LetsPlot.setup_html() 4np.random.seed(100) 5n = 50 6x = np.random.rand(n) 7y = np.random.rand(n) 8area = np.power(np.random.uniform(30, size=n), 2) 9ggplot() + geom_point(aes(x, y, size=area), alpha=0.7) + \ 10 scale_size_area(max_size=15)