All Predefined Themes

import pandas as pd

from lets_plot import *

LetsPlot.setup_html()

df = pd.read_csv("https://raw.githubusercontent.com/JetBrains/lets-plot-kotlin/master/docs/examples/data/mpg.csv")
print(df.shape)
df.head()

(234, 12)

	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
3	4	audi	a4	2.0	2008	4	auto(av)	f	21	30	p	compact
4	5	audi	a4	2.8	1999	6	auto(l5)	f	16	26	p	compact

p = ggplot(df, aes("cty", "hwy", color="drv")) + geom_point()

gggrid([
    p + ggtitle("theme_minimal2() - the default"),
    p + theme_void() + ggtitle("theme_void()"),
    p + theme_grey() + ggtitle("theme_grey()"),
    p + theme_bw() + ggtitle("theme_bw()"),
    p + theme_light() + ggtitle("theme_light()"),
    p + theme_classic() + ggtitle("theme_classic()"),
    p + theme_minimal() + ggtitle("theme_minimal()"),
], ncol=3)

pf = p + facet_grid(x="drv")

gggrid([
    pf + ggtitle("theme_minimal2() - the default"),
    pf + theme_void() + ggtitle("theme_void()"),
    pf + theme_grey() + ggtitle("theme_grey()"),
    pf + theme_bw() + ggtitle("theme_bw()"),
    pf + theme_light() + ggtitle("theme_light()"),
    pf + theme_classic() + ggtitle("theme_classic()"),
    pf + theme_minimal() + ggtitle("theme_minimal()"),
], ncol=1)

# You can also use theme_gray(), which is an alias for theme_grey():

gggrid([
    p + theme_grey() + ggtitle("theme_grey()"),
    p + theme_gray() + ggtitle("theme_gray()"),
])