Count Stat

import pandas as pd

from lets_plot import *

LetsPlot.setup_html()

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

	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

tooltip_content = (layer_tooltips()
                       .title('@{class}')
                       .line('count|@{..count..} (@{..prop..})')
                       .line('total|@{..sum..}')
                       .format('..prop..', '.0%'))

ggplot(mpg_df) + \
    geom_bar(aes(as_discrete('manufacturer', order=1), fill='class'), tooltips=tooltip_content) + \
    scale_fill_brewer(palette='Dark2') + \
    ggsize(800, 450)

ggplot(mpg_df) + \
    geom_pie(aes(fill='class', size = '..sum..'),
             tooltips=tooltip_content) + \
    scale_fill_brewer(palette='Dark2') + \
    facet_wrap(facets='manufacturer', ncol=5)  + \
    scale_size(range=[4, 10]) + \
    guides(size='none') + \
    theme_void() + theme(strip_background='blank')

ggplot(mpg_df) + \
    geom_pie(aes(fill=as_discrete('class', order_by='..count..'), size = '..sum..'), 
             size=24, hole=0.2, stroke=1.0,
             tooltips=layer_tooltips()
                       .title('@{class}')
                       .line('Count|@{..count..}')
                       .line('Percent|@{..proppct..}')
                       .line('Total|@{..sum..}')
                       .format('..proppct..', 'd')) + \
    scale_fill_brewer(palette='Dark2') + \
    theme_void()