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)>