Customizing fonts

You can set font size, face, and family using theme.

import pandas as pd

from lets_plot import *

LetsPlot.setup_html()

df = pd.read_csv("https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/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

Default font

p = ggplot(df, aes('cty', 'hwy', color='drv')) + \
    geom_point(tooltips=layer_tooltips()
                       .title('@manufacturer @model')
                       .line('@|@class')
                       .format('@year', 'd')
                       .line('@|@year')) + \
    labs(title='The plot title',
         subtitle='The plot subtitle',
         caption='The plot caption',
         color='Drive type')
p

Change font face and size

p + theme(title=element_text(size=18),
          plot_title=element_text(face='bold'),
          plot_caption=element_text(size=12, face='italic'),
          axis_text=element_text(size=14, face='italic'),
          tooltip_text=element_text(size=15))

p + theme(plot_subtitle=element_text(face='bold_italic'),
          plot_caption=element_text(face='italic'),

          legend_title=element_text(face='bold'),
          legend_text=element_text(face='italic'),

          axis_title=element_text(face='bold'),
          axis_text=element_text(face='bold_italic'),

          tooltip_text=element_text(face='italic'))

# tooltip_text will be also applied to axes tooltips ('italic');
# title and label in general tooltip are bold by default -> the result for them is 'bold_italic'

Change font family

Let’s change font family everywhere using text parameter.

p + theme(text=element_text(family='Times New Roman', size=15))