lets_plot.scale_fill_identity¶
- lets_plot.scale_fill_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: list of strings containing:
names of colors (e.g. ‘green’),
hex codes of colors (e.g. ‘x00ff00’),
css colors (e.g. ‘rgb(0, 255, 0)’).
Examples
1import numpy as np 2from lets_plot import * 3LetsPlot.setup_html() 4np.random.seed(42) 5colors = {'red': '#e41a1c', 'green': '#4daf4a', 'blue': '#377eb8'} 6c = np.random.choice(list(colors.values()), size=20) 7ggplot({'c': c}, aes(x='c')) + geom_bar(aes(fill='c')) + \ 8 scale_fill_identity(guide=guide_legend(), name='color', \ 9 breaks=list(colors.values()), \ 10 labels=list(colors.keys()))