lets_plot.scale_color_manual

lets_plot.scale_color_manual(values, name=None, breaks=None, labels=None, limits=None, na_value=None, guide=None, format=None)

Create your own discrete scale for color aesthetic.

Parameters
valueslist of str

A set of aesthetic values to map data values to. The values will be matched in order (usually alphabetical) with the limits of the scale.

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

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.

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

Create your own color scale. Values are strings, encoding colors.

Examples

1from lets_plot import *
2LetsPlot.setup_html()
3x = list(range(9))
4ggplot({'x': x, 'y': x}, aes('x', 'y')) + \
5    geom_point(aes(color='x'), shape=1, size=5) + \
6    scale_color_manual(values=['red', 'green', 'blue'], name='color', \
7                       breaks=[2, 4, 7], labels=['red', 'green', 'blue'])