lets_plot.scale_fill_discrete¶
- lets_plot.scale_fill_discrete(direction=None, name=None, breaks=None, labels=None, limits=None, na_value=None, guide=None, format=None)¶
Qualitative colors. Defaults to the Brewer ‘Set2’ palette (or ‘Set3’ if the categories count > 8).
- Parameters
- direction{1, -1}, default=1
Set the order of colors in the scale. If 1, colors are as output by brewer palette. If -1, the order of colors is reversed.
- 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
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
Guide to use for this scale. It can either be a string (‘colorbar’, ‘legend’) or a call to a guide function (guide_colorbar(), guide_legend()) specifying additional arguments. ‘none’ will 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
Define qualitative color scale with evenly spaced hues for filling color aesthetic.
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) 8z = np.random.rand(n) 9ggplot() + geom_point(aes(x, y, fill=z), shape=21, size=4, color='gray') + \ 10 scale_fill_discrete(guide='none')