lets_plot.scale_color_discrete

lets_plot.scale_color_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

Sets 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 numeric vector of positions (of ticks).

labelslist of strings

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

Defines 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 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, color=z), size=4) + \
10    scale_color_discrete(guide='none')