from great_tables import GT
from great_tables.data import gtcars
import gt_extras as gte
gtcars_mini = gtcars.iloc[5:15].copy().reset_index(drop=True)
gtcars_mini["efficiency"] = gtcars_mini["mpg_c"] / gtcars_mini["hp"] * 100
(
# Start with a standard GT
GT(gtcars_mini, rowname_col="model")
.tab_stubhead(label="Car")
.cols_hide(["drivetrain", "hp_rpm", "trq_rpm", "trim", "bdy_style", "msrp", "trsmn", "ctry_origin"])
.cols_align("center")
.tab_header(title="Car Performance Review", subtitle="Using gt-extras functionality")
# Add gt-extras features using gt.pipe()
.pipe(gte.gt_color_box, columns=["hp", "trq"], palette=["lightblue", "darkblue"])
.pipe(gte.gt_plt_dot, category_col="mfr", data_col="efficiency", domain=[0, 0])
.pipe(gte.gt_plt_bar, columns=["mpg_c", "mpg_h"])
.pipe(gte.gt_fa_rating, columns="efficiency")
.pipe(gte.gt_hulk_col_numeric, columns="year", palette="viridis")
.pipe(gte.gt_theme_538)
)| Car Performance Review | |||||||
| Using gt-extras functionality | |||||||
| Car | mfr | year | hp | trq | mpg_c | mpg_h | efficiency |
|---|---|---|---|---|---|---|---|
| California |
Ferrari
|
2015 | 553.0
|
557.0
|
|||
| GTC4Lusso |
Ferrari
|
2017 | 680.0
|
514.0
|
|||
| FF |
Ferrari
|
2015 | 652.0
|
504.0
|
|||
| F12Berlinetta |
Ferrari
|
2015 | 731.0
|
509.0
|
|||
| LaFerrari |
Ferrari
|
2015 | 949.0
|
664.0
|
|||
| NSX |
Acura
|
2017 | 573.0
|
476.0
|
|||
| GT-R |
Nissan
|
2016 | 545.0
|
436.0
|
|||
| Aventador |
Lamborghini
|
2015 | 700.0
|
507.0
|
|||
| Huracan |
Lamborghini
|
2015 | 610.0
|
413.0
|
|||
| Gallardo |
Lamborghini
|
2014 | 550.0
|
398.0
|
|||