lets_plot.scale_stroke#
- lets_plot.scale_stroke(range=None, name=None, breaks=None, labels=None, lablim=None, limits=None, na_value=None, guide=None, trans=None, format=None)#
Scale for stroke.
- Parameters:
- rangelist
The range of the mapped aesthetics result.
- 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 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
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’, ‘log2’, ‘symlog’, ‘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/python/pages/formats.html.
- Returns:
- FeatureSpec
Scale specification.
Examples
1from lets_plot import * 2LetsPlot.setup_html() 3data = { 4 'x': [0, 1, 2], 5 'y': [1, 2, 1], 6 's': ['a', 'b', 'c'], 7} 8ggplot(data, aes('x', 'y')) + geom_lollipop(aes(stroke='s')) + \ 9 scale_stroke(range=[.5, 2])