In [1]:

import numpy as np
import pandas as pd

from lets_plot import *
from lets_plot.mapping import as_discrete

LetsPlot.setup_html()

In [2]:

mpg = pd.read_csv("https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/mpg.csv")
mpg.head(3)

Out[2]:

	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

In [3]:

p = ggplot(mpg) + theme(axis_title_x='blank')

In [4]:

box_plot = (p + 
            geom_boxplot(aes(as_discrete('class',order=1, order_by='..middle..'), 'hwy'),
                         color="#579673", fill="#9AC0B3", size=1.5) +
            ggsize(700, 300))
box_plot + ggtitle("Default")

Out[4]:

In [5]:

box_plot + ggtitle("Flipped") + coord_flip()

Out[5]:

In [6]:

bar_plot = (p + 
            geom_bar(aes(as_discrete('manufacturer',order_by='..count..'), fill='class', color='class'),
                         size=1.5, alpha=0.7, width=0.7) +
            ggsize(800, 300))
bar_plot + ggtitle("Default")

Out[6]:

In [7]:

bar_plot + ggtitle("Flipped") + coord_flip()

Out[7]: