lets_plot.scale_color_continuous¶
- lets_plot.scale_color_continuous(low=None, high=None, name=None, breaks=None, labels=None, limits=None, na_value=None, guide=None, trans=None, format=None)¶
Define smooth color gradient between two colors for color aesthetic.
- Parameters
- lowstr
Color for low end of gradient.
- highstr
Color for high end of gradient.
- 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 numeric vector of positions (of ticks).
- labelslist of str
A vector of labels (on ticks).
- limitslist
A numeric vector of length two providing limits of the scale.
- 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.
Examples
1from lets_plot import * 2LetsPlot.setup_html() 3x = list(range(10)) 4ggplot({'x': x, 'y': x}, aes('x', 'y')) + \ 5 geom_point(aes(color='x'), shape=1, size=5) + \ 6 scale_color_continuous(low='#1a9641', high='#d7191c')