lets_plot.scale_linetype_identity¶
- lets_plot.scale_linetype_identity(name=None, breaks=None, labels=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.
- Parameters
- namestr
The name of the scale - used as the axis label or the legend title.
- breakslist of float
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.
- guide, default=’none’
Guide to use for this scale.
- 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
Input data expected: numeric codes or names of line types (e.g. ‘dotdash’). The codes are: 0 = ‘blank’, 1 = ‘solid’, 2 = ‘dashed’, 3 = ‘dotted’, 4 = ‘dotdash’, 5 = ‘longdash’, 6 = ‘twodash’.
Examples
1from lets_plot import * 2LetsPlot.setup_html() 3n = 7 4data = { 5 'x': [0] * n, 6 'xend': [1] * n, 7 'y': list(range(n)), 8 'yend': list(range(n)), 9} 10ggplot(data) + \ 11 geom_segment(aes(x='x', xend='xend', y='y', \ 12 yend='yend', linetype='y')) + \ 13 scale_linetype_identity()