lets_plot.scale_color_gradientn

lets_plot.scale_color_gradientn(colors=None, name=None, breaks=None, labels=None, limits=None, na_value=None, guide=None, trans=None, format=None)

Define smooth color gradient between multiple colors for color aesthetic.

Parameters

colorslist

Gradient colors list.

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.

trans{‘identity’, ‘log10’, ‘sqrt’, ‘reverse’}

Name of built-in transformation.

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 smooth color gradient between multiple colors for color aesthetic.

Examples

from lets_plot import *
LetsPlot.setup_html()
x = list(range(-25, 26))
colors = ["#e41a1c", "#e41a1c", "#e41a1c", "#4daf4a", "#377eb8"]
ggplot({'x': x}, aes(x='x')) + \
    geom_tile(aes(color='x'), fill='white', size=3) + \
    scale_color_gradientn(colors=colors) + \
    coord_cartesian() + \
    ggsize(600, 200)