lets_plot.scale_alpha¶
- lets_plot.scale_alpha(range=None, name=None, breaks=None, labels=None, limits=None, na_value=None, guide=None, trans=None, format=None)¶
Scale for alpha.
- Parameters
- rangelist
The range of the mapped aesthetics result.
- 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 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
A result returned by guide_legend() function or ‘none’ to 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
1import numpy as np 2from lets_plot import * 3LetsPlot.setup_html() 4np.random.seed(100) 5x = np.random.normal(0, 1, 1000) 6y = np.random.normal(0, 1, 1000) 7ggplot({'x': x, 'y': y}, aes('x', 'y')) + \ 8 geom_point(aes(alpha='..density..'), stat='density2d', contour=False, n=30) + \ 9 scale_alpha(range=[.01, .99])