Text Setting for Annotations¶

Use the label_text parameter in theme() to set basic text settings for annotations, using the element_text() function with the following parameters:

family - font family;
face - font face ("plain", "italic", "bold", "bold_italic");
size - text size, can also be specified via layer_labels().size();
color - text color.

In [1]:

import pandas as pd

from lets_plot import *

In [2]:

LetsPlot.setup_html()

In [3]:

mpg_df = pd.read_csv ("https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/mpg.csv")
mpg_df.head(4)

Out[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
3	4	audi	a4	2.0	2008	4	auto(av)	f	21	30	p	compact

In [4]:

label_text_opts = element_text(family='Rockwell', face='bold', size=16, color='#542788')

Configure Text Labels for Bar Plot¶

In [5]:

ggplot(mpg_df) + \
    geom_bar(aes('class', fill='class'), labels=layer_labels().line('@..sumpct..')) + \
    theme(label_text=label_text_opts)

Out[5]:

Configure Text Labels for Pie Chart¶

In [6]:

ggplot(mpg_df) + \
    geom_pie(aes(fill='class'), size=26, hole=0.3, labels=layer_labels().line('@..proppct..')) + \
    theme_void() + \
    theme(label_text=label_text_opts)

Out[6]: