You can now also specify a legend title via functions guide_legend()
and guide_colorbar()
.
Earlier, legend titles could only be specified via parameters of labs()
and scale_xxx()
functions.
import pandas as pd
from lets_plot import *
LetsPlot.setup_html()
mpg = pd.read_csv ("https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/mpg.csv")
mpg.head(3)
Unnamed: 0 | manufacturer | model | displ | year | cyl | trans | drv | cty | hwy | fl | class | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 1 | audi | a4 | 1.8 | 1999 | 4 | auto(l5) | f | 18 | 29 | p | compact |
1 | 2 | audi | a4 | 1.8 | 1999 | 4 | manual(m5) | f | 21 | 29 | p | compact |
2 | 3 | audi | a4 | 2.0 | 2008 | 4 | manual(m6) | f | 20 | 31 | p | compact |
# Legend title
p = ggplot(mpg) + geom_point(aes('displ', 'hwy', color='cty', shape=as_discrete('cyl')), size=4)
p + guides(shape=guide_legend('Cylinders', ncol=2), \
color=guide_colorbar('City mileage'))