stat_summary()

import numpy as np
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

ggplot(df, aes("drv", "hwy")) + stat_summary()

1. The geom Parameter

ggplot(df, aes("cty", "hwy")) + stat_summary(geom='smooth')

2. The fun Parameter

ggplot(df, aes("drv", "hwy")) + stat_summary(geom='bar', fun='count')

3. The quantiles Parameter

ggplot(df, aes("drv", "hwy")) + stat_summary(fun='mq', fun_min='lq', fun_max='uq', quantiles=[.45, .5, .55])

4. Custom Calculations in Aesthetics

ggplot(df, aes("drv", "hwy")) + stat_summary(aes(lower='..lq..', middle='..mq..', upper='..uq..'), geom='boxplot')