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])