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.
- 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’, ‘log2’, ‘symlog’, ‘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)