lets_plot.scale_size_manual¶
- lets_plot.scale_size_manual(values, name=None, breaks=None, labels=None, limits=None, na_value=None, guide=None, format=None)¶
Create your own discrete scale for size aesthetic.
- Parameters
- valueslist of str
A set of aesthetic values to map data values to. If this is a named vector, then the values will be matched based on the names. If unnamed, values will be matched in order (usually alphabetical) with the limits of the scale.
- 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 vector specifying values to display as ticks on axis.
- labelslist of str
A vector of labels (on ticks).
- 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/pages/formats.html.
- Returns
- FeatureSpec
Scale specification.
Notes
Create your own discrete scale for size aesthetic. Values are numbers, defining sizes.
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(size='c'), shape=1) + \ 8 scale_size_manual(name='size', values=[5, 8])