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

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 color aesthetic.

Examples

import numpy as np
from lets_plot import *
LetsPlot.setup_html()
np.random.seed(100)
n = 50
x = np.random.rand(n)
y = np.random.rand(n)
z = np.random.rand(n)
ggplot() + geom_point(aes(x, y, color=z), size=4) + \
    scale_color_discrete(guide='none')