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.

  • range (list) – The range of the mapped aesthetics result.

  • name (str) – 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.

  • breaks (list) – A numeric vector of positions (of ticks).

  • labels (list of str) – A vector of labels (on ticks).

  • limits (list) – 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.

  • format (str) – Defines 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.


Scale specification.

Return type



1import numpy as np
2from lets_plot import *
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])