lets_plot.scale_grey

lets_plot.scale_grey(aesthetic, *, start=None, end=None, name=None, breaks=None, labels=None, limits=None, na_value=None, guide=None, trans=None, format=None)

Sequential grey color scale for the specified aesthetics. The palette is computed using HSV (hue, saturation, value) color model.

Parameters
aestheticstr or list

The name(s) of the aesthetic(s) that this scale works with.

startfloat

Gray value at low end of palette in range [0, 1].

endfloat

Gray value at high end of palette in range [0, 1].

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 or FeatureSpecArray

Scales specification.

Notes

Define sequential grey color scale for the specified aesthetics.

Examples

1from lets_plot import *
2LetsPlot.setup_html()
3x = list(range(50))
4ggplot({'x': x}, aes(x='x')) + \
5    geom_tile(aes(color='x', fill='x')) + \
6    scale_grey(aesthetic=['color', 'fill'], start=.9, end=.1) + \
7    coord_cartesian() + \
8    ggsize(600, 200)