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

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.

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])