Python grammar of graphics

import pandas as pd

mpg = pd.read_csv("./data/mpg.csv")

mpg.head()

	mpg	cylinders	displacement	horsepower	weight	acceleration	model_year	origin	name
0	18.0	8	307.0	130	3504	12.0	70	1	chevrolet chevelle malibu
1	15.0	8	350.0	165	3693	11.5	70	1	buick skylark 320
2	18.0	8	318.0	150	3436	11.0	70	1	plymouth satellite
3	16.0	8	304.0	150	3433	12.0	70	1	amc rebel sst
4	17.0	8	302.0	140	3449	10.5	70	1	ford torino

from plotnine import *
from plotnine.data import *

ggplot(data=mpg) +\
geom_point(mapping=aes(x="displ", y="hwy")) + theme_classic()

<ggplot: (324084173)>

ggplot(data=mpg) +\
geom_point(mapping=aes(x="displ", y="hwy", color="class")) + theme_classic()

<ggplot: (324192241)>

ggplot(data=mpg) +\
geom_point(mapping=aes(x="displ", y="hwy", size="class")) + theme_classic()

<ggplot: (324188691)>

# Left
ggplot(data=mpg) +\
geom_point(mapping=aes(x="displ", y="hwy", alpha="manufacturer")) + theme_classic()

<ggplot: (324284401)>

# Right
ggplot(data=mpg) +\
geom_point(mapping=aes(x="displ", y="hwy", shape="manufacturer")) + theme_classic()

<ggplot: (324342522)>

ggplot(data=mpg) +\
geom_point(mapping=aes(x="displ", y="hwy"), color="blue") + theme_classic()

<ggplot: (324407845)>

ggplot(data=mpg) +\
geom_smooth(mapping=aes(x="displ", y="hwy")) + theme_classic()

<ggplot: (324408381)>

ggplot(data=mpg) +\
geom_smooth(mapping=aes(x="displ", y="hwy", linetype="drv")) + theme_classic()

<ggplot: (324443965)>

ggplot(data=mpg) +\
geom_point(mapping=aes(x="displ", y="hwy")) +\
geom_smooth(mapping=aes(x="displ", y="hwy")) + theme_classic()

<ggplot: (324525996)>

ggplot(data=mpg, mapping=aes(x="displ", y="hwy")) +\
geom_point(mapping=aes(color="class")) +\
geom_smooth() + theme_classic()

<ggplot: (324562484)>